Program description
Content
Economic development with its rapid change in products and processes has also led, among other things, to a considerable restructuring of the inter-company division of labor. Today, this division of labor is characterized by cross-company value chains in which complex production processes have to be planned, sustainably designed and controlled. Logistics and its basic functions, transport, handling and warehousing, play a central role in this. Mobility is understood in the sense of social participation and opportunities for movement. Successful, socially and ecologically compatible economic activity under such conditions is made possible by the interaction of innovative technical systems, information and communication technologies, and management strategies.
The bachelor's degree program "Engineering and Management - Major in Logistics and Mobility" prepares graduates for professional activities in this interdisciplinary field. Extensive, interdisciplinary basic knowledge from the natural and engineering sciences and from business administration is taught. The effects on society as a whole are always included. By working on a wide range of tasks from various application areas of logistics and mobility, students also learn how to deal with specific issues, thus acquiring a meaningful mix of practical and scientific skills.
Career prospects
Graduates of the program can enter directly into professions in the field of logistics or transportation planning. The degree program prepares them for independent and joint activities in responsible positions.
Possible employers include, for example, companies in the logistics sector, trading companies, manufacturing companies, engineering and planning offices, transport companies, construction companies, infrastructure operators and the public sector.
At Hamburg University of Technology, graduates have the opportunity, among other things, to follow the bachelor's degree program in "Engineering and Management - Major in Logistics and Mobility" with a master's degree in "Logistics, Infrastructure, and Mobility" or in "International Management and Engineering".
Learning target
The bachelor's degree program in "Engineering and Management - Major in Logistics and Mobility" prepares students both for a professional career and for a relevant master's degree program. The basic methodological knowledge required for this is acquired during the course of study. The learning outcomes of the program are achieved through an interplay of basic and advanced modules from the fields of logistics, engineering and business administration and can be specialized in one of three specializations. The learning objectives are divided below into the categories of knowledge, skills, social competence and independence.
Knowledge
Knowledge is constituted by facts, principles and theories and is acquired in the Bachelor's program "Engineering and Management - Major in Logistics and Mobility" in the following areas:
- Graduates are able to explain the basic methods, procedures and interrelationships of engineering sciences, in particular mathematics, engineering mechanics and computer science.
- Graduates will be able to explain the basic methods, procedures and interrelationships of economics, business administration and management.
- Graduates will be able to explain the methods, procedures and interrelationships of logistics and transportation planning and provide an overview of their subject and the interrelationships between the sub-disciplines of logistics.
- Graduates are able to place their subject in the overall societal, social and economic context.
Skills
The ability to apply acquired knowledge in order to solve specific problems is supported in many ways in the degree program "Engineering and Management - Major in Logistics and Mobility":
- Graduates are able to solve technical problems, as well as design new technical systems of logistics and transportation systems.
- Graduates are able to evaluate technical systems of logistics and transport systems economically and ecologically.
- Graduates are able to analyze, plan, design and control the flow systems (goods, people, information, money) necessary for the production of goods or the provision of services and to apply their theoretical knowledge in practical problems. Due to their holistic and analytical thinking, graduates are also able to penetrate and optimize networked processes.
Social competence
Social competence comprises the individual ability and willingness to work together with others in a goal-oriented manner, to understand the interests of others, to communicate and to help shape the working and living environment.
- Graduates can integrate themselves into professionally homogeneous teams, organize themselves in these teams, take on specific subtasks and reflect on their own contribution.
- Graduates are able to integrate themselves into heterogeneous teams, to organize themselves in these teams, to take on specific subtasks and to reflect on their own contribution.
- Graduates are able to communicate about the contents of logistics and mobility as well as the results of their own work in an appropriate manner with both experts and laypersons.
- Graduates are able to classify the social and ecological effects of logistics and transport systems on society and the environment.
Self-reliance
Personal competencies include not only the competence to act independently, but also the system and solution competencies to represent general problems as specific sub-problems as well as the selection and mastery of suitable methods and procedures for problem solving.
- Graduates are able to realistically assess their competencies and work on deficits independently.
- Graduates have the ability to formulate their findings precisely in writing and orally.
- Graduates are able to independently work on sub-projects in more complex logistics and transport planning projects on the basis of the knowledge and skills they have acquired during their studies.
- Graduates can reliably apply methods of scientific work and are thus also qualified to work in research or to deepen their competencies in a more advanced course of study.
Program structure
The curriculum of the Bachelor's degree program "Engineering and Management - Major in Logistics and Mobility" is structured as follows:
- Core qualification, 19 compulsory modules, 3 compulsory elective modules, 132 LP, 1st-5th semester.
- Consolidation, 3 compulsory modules, 3 compulsory elective modules, 36 LP, 4th semester onwards
- Bachelor thesis, 12 LP, 6th semester
This results in a total of 180 LP.
In the core qualification, students are taught the fundamentals of mathematics, engineering, business administration, logistics and mobility, primarily in the first four semesters. In addition, there is a compulsory elective module in applied business administration, a freely selectable technical and a freely selectable non-technical supplementary module. A student research project in the fifth semester prepares students for their final thesis.
Starting in the 4th semester, students choose one of the three specializations:
- Transport planning and systems
- Production management and processes
- Information Technology
A specialization consists of three compulsory modules and three elective modules.
The fifth semester is kept as free as possible due to the high number of elective modules. This makes it possible to complete the fifth semester abroad.
The sixth semester is devoted to writing the bachelor's thesis.
Core Qualification
Module M0650: Introduction to Logistics and Mobility |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Heike Flämig | ||||||||||||||||||||
Admission Requirements | None | ||||||||||||||||||||
Recommended Previous Knowledge | none | ||||||||||||||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||||||||||||||
Professional Competence | |||||||||||||||||||||
Knowledge |
Students can...
|
||||||||||||||||||||
Skills |
Students can...
|
||||||||||||||||||||
Personal Competence | |||||||||||||||||||||
Social Competence |
Students can...
|
||||||||||||||||||||
Autonomy |
Students can...
|
||||||||||||||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||||||||||||||
Credit points | 6 | ||||||||||||||||||||
Course achievement |
|
||||||||||||||||||||
Examination | Written exam | ||||||||||||||||||||
Examination duration and scale | Written exam 60 minutes. 2.5% bonus points each: Excerpt (1 page), homework in group (approx. 20 pages), presentation homework in group (25 minutes), weekly participation in JiTT-questions (10 weeks) | ||||||||||||||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L0474: Introduction to Scientific Work |
Typ | Lecture |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dr. Meike Schröder |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
|
Course L0390: Freight Traffic and Logistics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Heike Flämig |
Language | DE |
Cycle | WiSe |
Content |
The course gives an introductory overview of the basics of supply chain management and logistics and their interaction with freight traffic and thus the significance of traffic planning for business activities. In addition, examples of ecologically and economically sustainable best practice are discussed. The following subject areas are covered:
|
Literature |
ARNOLD, D., ISERMANN, H., KUHN, A., TEMPELMEIER, H. (Hrsg.) (2008): Handbuch Logistik. Berlin, Heidelberg, Springer-Verlag Berlin 3. neu bearb. Auflage. IHDE, G. B. (2001): Transport, Verkehr, Logistik, Gesamtwirtschafliche Aspekte und einzelwirtschaftliche Handhabung. München, Verlag Franz Vahlen, 3. völlig überarbeitete und erweiterte Auflage. PFOHL, H.-C. (2010): Logistiksysteme - Betriebswirtschaftliche Grundlagen. Berlin, Heidelberg, New York, Springer-Verlag, 8. neu bearb. Und aktualisierte Auflage. |
Course L0391: Freight Traffic and Logistics |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Heike Flämig |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0577: Non-technical Courses for Bachelors |
Module Responsible | Dagmar Richter |
Admission Requirements | None |
Recommended Previous Knowledge | None |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The Non-technical
Academic Programms (NTA) imparts skills that, in view of the TUHH’s training profile, professional engineering studies require but are not able to cover fully. Self-reliance, self-management, collaboration and professional and personnel management competences. The department implements these training objectives in its teaching architecture, in its teaching and learning arrangements, in teaching areas and by means of teaching offerings in which students can qualify by opting for specific competences and a competence level at the Bachelor’s or Master’s level. The teaching offerings are pooled in two different catalogues for nontechnical complementary courses. The Learning Architecture consists of a cross-disciplinarily study offering. The centrally designed teaching offering ensures that courses in the nontechnical academic programms follow the specific profiling of TUHH degree courses. The learning architecture demands and trains independent educational planning as regards the individual development of competences. It also provides orientation knowledge in the form of “profiles” The subjects that can be studied in parallel throughout the student’s entire study program - if need be, it can be studied in one to two semesters. In view of the adaptation problems that individuals commonly face in their first semesters after making the transition from school to university and in order to encourage individually planned semesters abroad, there is no obligation to study these subjects in one or two specific semesters during the course of studies. Teaching and Learning Arrangements provide for students, separated into B.Sc. and M.Sc., to learn with and from each other across semesters. The challenge of dealing with interdisciplinarity and a variety of stages of learning in courses are part of the learning architecture and are deliberately encouraged in specific courses. Fields of Teaching are based on research findings from the academic disciplines cultural studies, social studies, arts, historical studies, migration studies, communication studies and sustainability research, and from engineering didactics. In addition, from the winter semester 2014/15 students on all Bachelor’s courses will have the opportunity to learn about business management and start-ups in a goal-oriented way. The fields of teaching are augmented by soft skills offers and a foreign language offer. Here, the focus is on encouraging goal-oriented communication skills, e.g. the skills required by outgoing engineers in international and intercultural situations. The Competence Level of the courses offered in this area is different as regards the basic training objective in the Bachelor’s and Master’s fields. These differences are reflected in the practical examples used, in content topics that refer to different professional application contexts, and in the higher scientific and theoretical level of abstraction in the B.Sc. This is also reflected in the different quality of soft skills, which relate to the different team positions and different group leadership functions of Bachelor’s and Master’s graduates in their future working life. Specialized Competence (Knowledge) Students can
|
Skills |
Professional Competence (Skills) In selected sub-areas students can
|
Personal Competence | |
Social Competence |
Personal Competences (Social Skills) Students will be able
|
Autonomy |
Personal Competences (Self-reliance) Students are able in selected areas
|
Workload in Hours | Depends on choice of courses |
Credit points | 6 |
Courses |
Information regarding lectures and courses can be found in the corresponding module handbook published separately. |
Module M0829: Foundations of Management |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Christoph Ihl |
Admission Requirements | None |
Recommended Previous Knowledge | Basic Knowledge of Mathematics and Business |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
After taking this module, students know the important basics of many different areas in Business and Management, from Planning and Organisation to Marketing and Innovation, and also to Investment and Controlling. In particular they are able to
|
Skills |
Students are able to analyse business units with respect to different criteria (organization, objectives, strategies etc.) and to carry out an Entrepreneurship project in a team. In particular, they are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are able to
|
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | several written exams during the semester |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory Bioprocess Engineering: Core Qualification: Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Energy and Environmental Engineering: Core Qualification: Compulsory General Engineering Science (English program, 7 semester): Specialisation Electrical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Civil Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Bioprocess Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Energy and Enviromental Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Computer Science: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Materials in Engineering Sciences: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Naval Architecture: Compulsory General Engineering Science (English program, 7 semester): Specialisation Process Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L0882: Management Tutorial |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christoph Ihl, Katharina Roedelius |
Language | DE |
Cycle |
WiSe/ |
Content |
In the management tutorial, the contents of the lecture will be deepened by practical examples and the application of the discussed tools. If there is adequate demand, a problem-oriented tutorial will be offered in parallel, which students can choose alternatively. Here, students work in groups on self-selected projects that focus on the elaboration of an innovative business idea from the point of view of an established company or a startup. Again, the business knowledge from the lecture should come to practical use. The group projects are guided by a mentor. |
Literature | Relevante Literatur aus der korrespondierenden Vorlesung. |
Course L0880: Introduction to Management |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Christoph Ihl, Prof. Christian Lüthje, Prof. Christian Ringle, Prof. Cornelius Herstatt, Prof. Kathrin Fischer, Prof. Matthias Meyer, Prof. Thomas Wrona, Prof. Thorsten Blecker, Prof. Wolfgang Kersten |
Language | DE |
Cycle |
WiSe/ |
Content |
|
Literature |
Bamberg, G., Coenenberg, A.: Betriebswirtschaftliche Entscheidungslehre, 14. Aufl., München 2008 Eisenführ, F., Weber, M.: Rationales Entscheiden, 4. Aufl., Berlin et al. 2003 Heinhold, M.: Buchführung in Fallbeispielen, 10. Aufl., Stuttgart 2006. Kruschwitz, L.: Finanzmathematik. 3. Auflage, München 2001. Pellens, B., Fülbier, R. U., Gassen, J., Sellhorn, T.: Internationale Rechnungslegung, 7. Aufl., Stuttgart 2008. Schweitzer, M.: Planung und Steuerung, in: Bea/Friedl/Schweitzer: Allgemeine Betriebswirtschaftslehre, Bd. 2: Führung, 9. Aufl., Stuttgart 2005. Weber, J., Schäffer, U. : Einführung in das Controlling, 12. Auflage, Stuttgart 2008. Weber, J./Weißenberger, B.: Einführung in das Rechnungswesen, 7. Auflage, Stuttgart 2006. |
Module M0850: Mathematics I |
||||||||||||||||||||||||||||
Courses | ||||||||||||||||||||||||||||
|
Module Responsible | Prof. Anusch Taraz |
Admission Requirements | None |
Recommended Previous Knowledge |
School mathematics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 128, Study Time in Lecture 112 |
Credit points | 8 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 min (Analysis I) + 60 min (Linear Algebra I) |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L1010: Analysis I |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content |
Foundations of differential and integrational calculus of one variable
|
Literature |
|
Course L1012: Analysis I |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1013: Analysis I |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH, Dr. Simon Campese |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0912: Linear Algebra I |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Anusch Taraz, Dr. Dennis Clemens, Prof. Marko Lindner |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
|
Course L0913: Linear Algebra I |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Anusch Taraz, Dr. Dennis Clemens, Prof. Marko Lindner |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
|
Course L0914: Linear Algebra I |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Christian Seifert, Dr. Dennis Clemens |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0889: Mechanics I (Statics) |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Robert Seifried |
Admission Requirements | None |
Recommended Previous Knowledge |
Solid school knowledge in mathematics and physics. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students can
|
Skills |
The students can
|
Personal Competence | |
Social Competence |
The students can work in groups and support each other to overcome difficulties. |
Autonomy |
Students are capable of determining their own strengths and weaknesses and to organize their time and learning based on those. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Data Science: Specialisation Mechanics: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computational Science and Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L1001: Mechanics I (Statics) |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Robert Seifried |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011). |
Course L1002: Mechanics I (Statics) |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Robert Seifried |
Language | DE |
Cycle | WiSe |
Content |
Forces and equilibrium Constraints and reactions Frames Center of mass Friction Internal forces and moments for beams |
Literature |
K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011). |
Course L1003: Mechanics I (Statics) |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Robert Seifried |
Language | DE |
Cycle | WiSe |
Content |
Forces and equilibrium Constraints and reactions Frames Center of mass Friction Internal forces and moments for beams |
Literature |
K. Magnus, H.H. Müller-Slany: Grundlagen der Technischen Mechanik. 7. Auflage, Teubner (2009). D. Gross, W. Hauger, J. Schröder, W. Wall: Technische Mechanik 1. 11. Auflage, Springer (2011). |
Module M1004: Logistics Management |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Wolfgang Kersten | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Introduction to Business and Management |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students will be able
|
||||||||
Skills |
Based on the acquired knowledge students are capable of
|
||||||||
Personal Competence | |||||||||
Social Competence |
Students can
|
||||||||
Autonomy |
Students are able to - assess their own state of learning in specific terms and to define further work steps on this basis guided by teachers. |
||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 120 min | ||||||||
Assignment for the Following Curricula |
Data Science: Specialisation Logistics: Compulsory Logistics and Mobility: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L1222: Introduction into Production Logistics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Yong Lee |
Language | DE |
Cycle | SoSe |
Content |
In the era of time-competition production and logistics need to be considered as a combined strategic competitive advantage. "Introduction in to production logistics" gives an overview over the different disciplinces of production logistics: - Development from cost-, quality to time-competitiion, - fundamentals of production and logistics, - phase-oriented and functional subsystems of production logistics, - planning and steering, - analysis and optimization (focus: Lean Management), - production logistics controlling and supply-chain management in production network Theory is complented by case studies and guest presentations. |
Literature |
|
Course L1221: Logistics Economics |
Typ | Project-/problem-based Learning |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Dr. Meike Schröder |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Module M1681: Technical drawing and CAD |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Dr. Marko Hoffmann | ||||||||||||
Admission Requirements | None | ||||||||||||
Recommended Previous Knowledge | |||||||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||||||
Professional Competence | |||||||||||||
Knowledge | |||||||||||||
Skills | |||||||||||||
Personal Competence | |||||||||||||
Social Competence | |||||||||||||
Autonomy | |||||||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||||||
Credit points | 6 | ||||||||||||
Course achievement |
|
||||||||||||
Examination | Written exam | ||||||||||||
Examination duration and scale | 120 min | ||||||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L2808: Introduction to CAD |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Dr. Marko Hoffmann |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
|
Course L1741: Fundamentals of Technical Drawing |
Typ | Lecture |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dr. Marko Hoffmann |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L1742: Fundamentals of Technical Drawing |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dr. Marko Hoffmann |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0851: Mathematics II |
||||||||||||||||||||||||||||
Courses | ||||||||||||||||||||||||||||
|
Module Responsible | Prof. Anusch Taraz |
Admission Requirements | None |
Recommended Previous Knowledge | Mathematics I |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 128, Study Time in Lecture 112 |
Credit points | 8 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 min (Analysis II) + 60 min (Linear Algebra II) |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computational Science and Engineering: Core Qualification: Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L1025: Analysis II |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L1026: Analysis II |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH, Dr. Sebastian Götschel |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1027: Analysis II |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0915: Linear Algebra II |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Anusch Taraz, Dr. Dennis Clemens, Prof. Marko Lindner |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0916: Linear Algebra II |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Anusch Taraz, Dr. Dennis Clemens, Prof. Marko Lindner |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0917: Linear Algebra II |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Anusch Taraz, Dr. Christian Seifert, Dr. Dennis Clemens, Prof. Marko Lindner |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0696: Mechanics II: Mechanics of Materials |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Christian Cyron |
Admission Requirements | None |
Recommended Previous Knowledge | Mechanics I |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | Having accomplished this module, the students know and understand the basic concepts of continuum mechanics and elastostatics, in particular stress, strain, constitutive laws, stretching, bending, torsion, failure analysis, energy methods and stability of structures. |
Skills |
Having accomplished this module, the students are able to |
Personal Competence | |
Social Competence | - |
Autonomy | - |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Data Science: Specialisation Mechanics: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L0493: Mechanics II |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Christian Cyron |
Language | DE |
Cycle | SoSe |
Content |
stresses and strains |
Literature |
|
Course L0494: Mechanics II |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Christian Cyron |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1691: Mechanics II |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Christian Cyron, Dr. Konrad Schneider |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1286: Technical Logistics |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Jochen Kreutzfeldt | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Successful completion of the modules „Introduction into logistics and mobility“, "Technical mechanics 1", "Mathematics 1" |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
The students will
acquire the following skills:
1. The students know technical solutions for solving logistical problems in the areas of warehousing, conveying, sorting, order picking and identifying. 2. The students know approaches to introducing a selected technical solution. 3. The students know practical examples of the presented technical solutions. |
||||||||
Skills |
The students will
acquire the following skills:
1. The students can select different technical solutions for logistic problems of warehousing, conveying, sorting, order picking and identifying. 2. The students are able to evaluate critically the presented technical solutions with respect to their applicability for different logistical problems and compare different alternatives. 3. The students are able to assess the impact of selected solutions. |
||||||||
Personal Competence | |||||||||
Social Competence |
The students will
acquire the following social skills:
1. The students will be able to sketch technical solutions for solving logistical problems of warehousing, conveying, sorting, order picking and identifying and reflect on their own contribution. 2. The technical solutions from the group are jointly documented and presented. 3. The students are able to present their technical solutions to an audience and they can derive new ideas and improvements from the feedback. |
||||||||
Autonomy |
The students will
acquire the following competencies:
1. The students are able to sketch autonomously, but under supervision, technical solutions to logistical problems of warehousing, conveying, sorting, order picking and identifying. 2. The students are able to evaluate their technical solutions and discuss the pros and cons. |
||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 120 min | ||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L1746: Technical Logistics |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Jochen Kreutzfeldt |
Language | DE |
Cycle | SoSe |
Content |
The lecture gives
an introduction in solutions and approaches of technical logistics. Five main topics
will be addressed:
(1) warehousing (2) conveying (3) sorting (4) order picking (5) identifying For each topic, various technical solutions are presented and discussed under consideration of advantages and disadvantages. This content is supplemented by practical examples that can be complemented by inviting guest lecturers. In the exercises selected technical solutions will be presented and discussed for certain problems and practiced by the students. |
Literature |
Griemert, Rudolf (2015): Fördertechnik.
Auswahl und Berechnung von Elementen und Baugruppen. [S.l.]: Morgan Kaufmann.
Hompel, Michael ten; Schmidt, Thorsten; Nagel, Lars (2007): Materialflusssysteme. Förder- und Lagertechnik. 3. Aufl. Berlin: Springer. Hompel, Michael ten; Büchter, Hubert; Franzke, Ulrich (2008): Identifikationssysteme und Automatisierung. [Intralogistik]. Berlin, Heidelberg: Springer. Hompel, Michael ten; Schmidt, Thorsten (2010): Warehouse Management. Organisation und Steuerung von Lager- und Kommissioniersystemen. 4. Aufl. Berlin: Springer. Hompel, Michael ten; Beck, Maria; Sadowsky, Volker (2011): Kommissionierung. Materialflusssysteme 2 - Planung und Berechnung der Kommissionierung in der Logistik. Berlin [u.a.]: Springer. Jodin, Dirk; Hompel, Michael ten (2012): Sortier- und Verteilsysteme. Grundlagen, Aufbau, Berechnung und Realisierung. 2. Aufl. Berlin: Springer. Martin, Heinrich (2014): Transport- und Lagerlogistik. Planung, Struktur, Steuerung und Kosten von Systemen der Intralogistik. 9., vollst. überarb. u. akt. Aufl. 2014. Wiesbaden: Imprint: Springer Vieweg. |
Course L1747: Technical Logistics |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Jochen Kreutzfeldt |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1674: Technical Complementary Course for Logistics and Mobility (according to Subject Specific Regulations) |
||||
Courses | ||||
|
Module Responsible | Prof. Heike Flämig |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Depends on choice of courses |
Credit points | 6 |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Module M0887: Transportation Planning and Traffic Engineering |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Carsten Gertz | ||||||||||||
Admission Requirements | None | ||||||||||||
Recommended Previous Knowledge | None | ||||||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||||||
Professional Competence | |||||||||||||
Knowledge |
Students are able to
|
||||||||||||
Skills |
Students are able to
|
||||||||||||
Personal Competence | |||||||||||||
Social Competence |
Students are able to
|
||||||||||||
Autonomy |
Students are able to
|
||||||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||||||
Credit points | 6 | ||||||||||||
Course achievement |
|
||||||||||||
Examination | Subject theoretical and practical work | ||||||||||||
Examination duration and scale | Project report in four work packages, in small groups, during the semester; mandatory interim presentation | ||||||||||||
Assignment for the Following Curricula |
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Compulsory Civil- and Environmental Engineering: Specialisation Water and Environment: Compulsory Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L0997: Transport Planning and Traffic Engineering |
Typ | Project-/problem-based Learning |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Carsten Gertz |
Language | DE |
Cycle | WiSe |
Content |
The course provides an introductory overview over the fundamentals of urban and regional transport planning, including the sub-topic traffic engineering. The following subject areas are covered:
|
Literature |
Steierwald, Gerd; Kühne, Hans Dieter; Vogt, Walter (Hrsg.) (2005) Stadtverkehrsplanung: Grundlagen, Methoden, Ziele. Springer Verlag. Berlin. Bosserhoff, Dietmar (2000) Integration von Verkehrsplanung und räumlicher Planung. Schriftenreihe der Hessischen Straßen- und Verkehrsverwaltung, Heft 42. Hessisches Landesamt für Straßen- und Verkehrswesen. Wiesbaden. Lohse, Dieter; Schnabel, Werner (2011) Grundlagen der Straßenverkehrstechnik und der Verkehrsplanung: Band 1; Straßenverkehrstechnik. Beuth Verlag. Berlin. Forschungsgesellschaft für Straßen- und Verkehrswesen (2007) Richtlinien für die Anlage von Stadtstraßen – RASt 06. FGSV-Verlag. Köln (FGSV, 200). |
Module M1671: Introduction to Economics |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Timo Heinrich |
Admission Requirements | None |
Recommended Previous Knowledge | None. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students know
|
Skills |
On the basis of the acquired knowledge, students are able to
|
Personal Competence | |
Social Competence |
The students are able to
|
Autonomy |
The students are able to
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 min |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L2712: Introduction to Economics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Timo Heinrich |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
|
Course L2713: Introduction to Economics |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Timo Heinrich |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Module M1692: Computer Science for Engineers - Introduction and Overview |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Görschwin Fey | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | |||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge | |||||||||
Skills | |||||||||
Personal Competence | |||||||||
Social Competence | |||||||||
Autonomy | |||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 min | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Compulsory Logistics and Mobility: Core Qualification: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L2685: Computer Science for Engineers - Introduction and Overview |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Görschwin Fey |
Language | DE/EN |
Cycle | WiSe |
Content | |
Literature |
|
Course L2686: Computer Science for Engineers - Introduction and Overview |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Görschwin Fey |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1672: IT applications for logistics and mobility |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | NN |
Admission Requirements | None |
Recommended Previous Knowledge |
Introduction to logistics and mobility |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students acquire the following knowledge:
|
Skills |
The students acquire the following specialist skills:
|
Personal Competence | |
Social Competence |
The students acquire the following social skills:
|
Autonomy |
The students acquire the following skills:
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 min |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L2827: IT applications for logistics and mobility |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Dr. Jutta Wolff |
Language | DE |
Cycle | WiSe |
Content |
The course covers the basics of information technology in relation to logistics systems. The course is divided into five subject areas: (1) Planning of IT systems in logistics, (2) data acquisition systems, (3) communication systems, (4) IT-supported processing, (5) basic technological developments in information technology. The course consists of a basic lecture with connected exercise units. |
Literature |
Becker, J.; Mathas, C.; Winkelmann, A. (2009): Geschäftsprozessmanagement. Berlin [u. a.]: Springer Finkenzeller, K.; Gebhart, M. (2015): RFID-Handbuch. Grundlagen und praktische Anwendungen von Transpondern, kontaktlosen Chipkarten und NFC. 7. Auflage, München: Hanser Hausladen, I. (2016): IT-gestützte Logistik.3. akt. und erw. Auflage, Wiesbaden: Springer-Gabler Pfohl, H.-C. (2018): Logistiksysteme. Betriebswirtschaftliche Grundlagen. 9. Auflage, Berlin, Heidelberg: Springer Vieweg ten Hompel, M.; Schmidt, T.; Dregger, J. (2018): Materialflusssysteme. Förder- und Lagertechnik. 4. Auflage, Berlin [u. a.]: Springer Vieweg (VDI-Buch). ten Hompel, M.; Wolf, O.; Nettsträter, A.; Ebel, D.; Geissen, T.; Kraft, V.; Mertens, C.; Pott, C.; Schoneboom, J.; Witthaut, M. (2013): IT in der Logistik 2013/2014. Stuttgart: Fraunhofer-Verlag |
Course L2828: IT applications for logistics and mobility |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dr. Jutta Wolff |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0831: Introduction to Operations Research and Statistics |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Kathrin Fischer |
Admission Requirements | None |
Recommended Previous Knowledge | Knowledge from Mathematics Lectures. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students know
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are able to
|
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 2 hours |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L0884: Introduction to Operations Research |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Kathrin Fischer |
Language | DE |
Cycle | SoSe |
Content |
1. Introduction to Operations Research 2. Linear Programming and Applications 3. Transportation Problems 4. Network Problems (e.g. Shortest Paths) 5. Travelling Salesman Problems and Vehicle Routing |
Literature |
D.R. Anderson / D.J. Sweeney / T.A. Williams / Martin: Quantitative Methods for Business. 11th Edition, Thomson, South Western 2008. W. Domschke / A. Drexl: Einführung in Operations Research, 7. Auflage, Springer, Berlin et al. 2007. F.S. Hillier/ G.J. Lieberman: Introduction to Operations Research. 8th Edition, McGraw-Hill, 2005. L. Suhl / T. Mellouli: Optimierungssysteme. Springer Verlag. Berlin et al. 2006. |
Course L0883: Introduction to Statistics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Kathrin Fischer |
Language | DE |
Cycle | SoSe |
Content |
1. Introduction to statistics 2. Basics of descriptive statistics 3. Methods of descriptive statistics 4. Probabilities 5. Discrete probability distrbutions and their applications 6. Continuous probability distrbutions and their application 7. Introduction to confidence intervals 8. Introduction to hypothesis testing 9. Linear regression |
Literature |
Bluman, Alan G.: Elementary Statistics - A brief version. Third Edition, McGrawHill 2006. Bowerman, Bruce L. and O’Connell, Richard T.: Business Statistics in Practice, 4th edition, McGraw-Hill 2007. Quatember, A.: Statistik ohne Angst vor Formeln. 2. Auflage. Pearson Verlag 2008. Schira, J.: Statistische Methoden der VWL und BWL - Theorie und Praxis. 2. Auflage, Pearson Verlag 2005. |
Course L0885: Exercises to Introduction in Quantitative Methods in Logistics |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Kathrin Fischer |
Language | DE |
Cycle | SoSe |
Content |
Interactive sessions for discussion and application of the contents of "Introduction to Statistics" and "Introduction to OR". |
Literature |
Literaturangaben siehe Vorlesungen Übungsblätter und weitere Informationen werden in der Übung verteilt. |
Module M1261: Management |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Thomas Wrona |
Admission Requirements | None |
Recommended Previous Knowledge | Basics of business studies |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students will accumulate extensive knowledge about different aspects of management after having participated in this module.
|
Skills |
|
Personal Competence | |
Social Competence |
After attending the module students will be able to
|
Autonomy |
The students are able to gather, analyze, and critically reflect on information and data and convert it into manageable summaries. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L1707: Finance and Accounting |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Ulrich Pape |
Language | DE |
Cycle | SoSe |
Content |
Introduction to the theory and practice of finance and accounting: The focus will be on basic principles of capital budgeting, finance and accounting and the underlying various methods of accounting. |
Literature | Wird zu Veranstaltungsbeginn bekannt gegeben. |
Course L1706: Foundations of Management |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Thomas Wrona |
Language | DE |
Cycle | SoSe |
Content |
Introduction to the theory and practice of management: The fundamentals of corporate governance will be taught, as well as an in-depth perspective on activities, characteristics and methods of management. |
Literature |
Wird zum Veranstaltungsbeginn bekannt gegeben. |
Module M1740: Project Management and Controlling |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Ann-Kathrin Lange |
Admission Requirements | None |
Recommended Previous Knowledge |
No previous experience required. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students know...
|
Skills |
Students are able to...
|
Personal Competence | |
Social Competence |
The students can...
|
Autonomy |
Students are able to...
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L2832: Foundations of Controlling |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | NN |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Course L2831: Foundations of project management |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Ann-Kathrin Lange |
Language | DE |
Cycle | SoSe |
Content |
In this lecture the contents of the project management are explained. The technical contents are accompanied by a continuous exercise to deepen the methods and to promote independent work. The students learn the most important contents of the different phases of a project. |
Literature |
Deutschen Gesellschaft für Projektmanagement e. V. (GPM 2019), Kompetenzbasiertes Projektmanagement (PM4) PMI 2017, A Guide to the Project Management Body of Knowledge(PMBoK Guide®) Patzak und Rattay (2018), Projektmanagement - Projekte, Projektportfolios, Programme und projektorientierte Unternehmen Timingers (2017), Modernes Projektmanagement |
Module M1735: Ethics and Technology - Responsible Innovation |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Maximilian Kiener |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 64, Study Time in Lecture 56 |
Credit points | 4 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | noch zu definieren |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L3196: Case Studies: Ethics in Technology |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Maximilian Kiener |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Course L2830: Ethics and Technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Maximilian Kiener |
Language | EN |
Cycle | WiSe |
Content |
The lecture introduces the basic questions of technology ethics and discusses especially current issues in AI ethics as well as selected topics from industrial engineering, e.g. ethics of supply chains, corporate social/digital responsibility. |
Literature |
Module M1704: Gamification of Strategic Thinking |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Matthias Meyer |
Admission Requirements | None |
Recommended Previous Knowledge | None |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | Different achievements (single/team) - learning diary, presentations, reflections, essay |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Elective Compulsory |
Course L2708: Gamification of Strategic Thinking |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Matthias Meyer, Thorsten Kodalle |
Language | DE |
Cycle | WiSe |
Content |
The seminar "Gamification of Strategic Thinking" is offered as part of the elective course of studies "Logistics and Mobility" and currently offers space for 25 students. In cooperation with the German Armed Forces Command and Staff College, the seminar aims to teach strategic methods within the framework of a wargaming approach. For this purpose, the course consists of two blocks, which take place parallel to each other throughout the semester. In the theoretical block, students are taught the basics of various methods for strategy development and management (including SWOT analysis, SCRUM or Kanban). In the second block, the students apply the methods they have learned on the basis of the board game "Sycthe". For this, the students are divided into five groups with five members each. Each of these groups plays a "party" of the board game and is supposed to develop a strategy with the help of the learned methods that helps the respective team to win. Afterwards, the experiences will be reflected upon by means of a written elaboration and a proposal for an own business wargame will be developed. |
Literature |
Green, K. C. (2005), “Game theory, simulated interaction, and unaided judgment for forecasting decisions in conflicts,” International Journal of Forecasting, 21, 463-472. Romeike. F., Spitzner, J. (2013): Von Szenarioanalyse bis Wargaming, Betriebswirtschaftliche Simulationen im Praxiseinsatz, Wiley-VCH Sabin, P. (2012), Simulating War - Studying Conflict through Simulation Games, Part 1, Bloomsbury Press, London. |
Module M0622: Business Administration and Enterprise Resource Planning: CERMEDES AG |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Christian Ringle |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic knowledge in business administration. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students are able to…
|
Skills |
The students are able to…
|
Personal Competence | |
Social Competence |
The students are able to…
|
Autonomy |
The students will be able to acquire knowledge in a specific context independently and to map this knowledge onto other new complex problem fields. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | Case studies, Mini-Challenges, Presentations |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Elective Compulsory |
Course L0330: Business Administration and Enterprise Resource Planning: CERMEDES AG |
Typ | Seminar |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christian Ringle |
Language | EN |
Cycle | WiSe |
Content |
The course involves two main parts: During the first part of the course, participants are provided with insights into the market for ERP-Software and are provided with knowledge on how ERP-implementation projects proceed and how these projects should ideally be managed from a theoretical and practical perspective. In addition, participants are provided with an understanding of business functions and processes by means of visiting the TUHH model factory. In the model factory, participants and are solving special business cases on the basis of group-specific tasks. Finally, participants are introduced into the basic functioning of ERP-Software referring to the most common system (SAP). Participants gain a basic understanding of implementing organizational data, master data and processes into the system. During the second phase of this course, the students work independently in groups on deepening challenges, which conceptually build up on the executed case studies from phase one. Using the knowledge from phase one, the students are able to transfer the theoretical knowledge on the practical execution of the challes in SAP. The results of the group work will be presented in phase two. |
Literature |
Participants will be provided with a course handout in the form of ppt.-slides which can be downloaded in advance. Further literature references regarding the theoretical concepts are not provided (as this is part of the challenge in writing the thesis); literature references with regard to the ERP-System used are as follows:
|
Course L1785: Business Administration and Enterprise Resource Planning: CERMEDES AG |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christian Ringle, Dr. Sandra Schubring |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0681: Project Course Logistics and Mobility |
||||
Courses | ||||
|
Module Responsible | Dozenten des Studiengangs |
Admission Requirements | None |
Recommended Previous Knowledge | none |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students will receive in-depth knowledge and in-depth skills in a special area of business administration, engineering science, logistics or mobility and can reproduce this knowledge. |
Skills |
After the project work in a business, engineering related, logistics and or mobility related research field, students are able to...
|
Personal Competence | |
Social Competence |
After the project work students are able to...
|
Autonomy |
After the project work students are able to...
|
Workload in Hours | Independent Study Time 180, Study Time in Lecture 0 |
Credit points | 6 |
Course achievement | None |
Examination | Study work |
Examination duration and scale | |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Elective Compulsory |
Module M1911: Project Seminar WILUM |
||||||||
Courses | ||||||||
|
Module Responsible | Dozenten des SD W |
Admission Requirements | None |
Recommended Previous Knowledge |
Prior knowledge in the relevant area from the relevant Management modules. |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
Students are able to
|
Personal Competence | |
Social Competence |
Students are able to
|
Autonomy |
Students are able to
|
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | To be announced in seminar. |
Assignment for the Following Curricula |
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Elective Compulsory |
Course L3153: Project Seminar WILUM |
Typ | Seminar |
Hrs/wk | 3 |
CP | 6 |
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Lecturer | Prof. Heike Flämig |
Language | DE/EN |
Cycle |
WiSe/ |
Content |
Contents differ, depending on the institute which organizes the respective seminar. Topics are always announced at the start of the term. |
Literature |
Wird je nach Thema angegeben; in der Regel handelt es sich um wissenschaftliche Fachartikel und Publikationen, vorwiegend in englischer Sprache. |
Module M1889: Innovation and product development - a business game |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Tim Schweisfurth |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | Different achievements (single/team) - learning diary, presentations, reflections, essay |
Assignment for the Following Curricula |
Engineering and Management - Major in Logistics and Mobility: Core Qualification: Elective Compulsory |
Course L3126: Innovation and product development - a business game |
Typ | Project-/problem-based Learning |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Tim Schweisfurth, Prof. Moritz Göldner |
Language | EN |
Cycle | SoSe |
Content | |
Literature |
Module M1675: Legal Foundations of Logistics and Mobility |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Heike Flämig |
Admission Requirements | None |
Recommended Previous Knowledge | None |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to...
|
Skills |
Students can...
|
Personal Competence | |
Social Competence |
Students can come to results in groups and document them. |
Autonomy |
Students can...
|
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Credit points | 4 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 min |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Compulsory |
Course L1186: Legal Foundations of Transportation and Logistics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Niels Witt |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
Aktueller Text des Bürgerlichen Gesetzbuches und Handelsgesetzbuches |
Course L1187: Legal Foundations of Transportation and Logistics |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Dr. Niels Witt |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0974: Business Simulation Marktstrat |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Christian Lüthje |
Admission Requirements | None |
Recommended Previous Knowledge | none |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to…
|
Skills |
Students are able to…
|
Personal Competence | |
Social Competence |
Students are able to…
|
Autonomy |
Students are able to…
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | different achievements (single/team) - learning diary, presentations, reflections |
Assignment for the Following Curricula |
Logistics and Mobility: Core Qualification: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Core Qualification: Elective Compulsory |
Course L0918: Business Simulation Marktstrat |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Christian Lüthje |
Language | DE |
Cycle | SoSe |
Content |
The business simulation game Markstrat B2B - Markstrat is a business simulation which puts you into the role of managing the marketing division of the electro-mechanical business unit of a large corporation. Competing with several other companies, you try to successfully market two products to business customers. To this end, you and other students jointly develop and implement a long-term marketing strategy for your business unit. During the 10 rounds of the simulation game, the students and the randomly assigned student team make decisions in the areas of product development, advertising, sales, price, production, and human resources on a weekly basis. To make well-informed decisions, the student teams can draw on a large number of information sources such as customer surveys, experiments, market studies, and benchmarks which you need to analyze during each round of the simulation. The simulation is accompanied by a comprehensive introduction, a concomitant coaching, as well as a mid-term and final presentation. In addition, the student teams will prepare a written report. |
Literature |
Kotler, Philip und Keller, Kevin Lane (2011): Marketing Management, 14th Edition, Prentice Hall International Morris, Michael H.; Pitt, Leyland F.; Honeycutt Jr., Earl D. (2001): Business-To-Business Marketing: A Strategic Approach, 3rd Edition, Sage Bruhn, Manfred (2012): Marketing - Grundlagen für Studium und Praxis, 11. Auflage, Gabler |
Specialization II. Information Technology
Module M1693: Computer Science for Engineers - Programming Concepts, Data Handling & Communication |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Sibylle Fröschle | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | |||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge | |||||||||
Skills |
|
||||||||
Personal Competence | |||||||||
Social Competence | |||||||||
Autonomy | |||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 120 min | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Biomechanics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Green Technologies, Focus Renewable Energy: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Systems: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Compulsory Mechatronics: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory |
Course L2689: Computer Science for Engineers - Programming Concepts, Data Handling & Communication |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Sibylle Fröschle |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
John V. Guttag: Introduction to Computation and Programming Using Python. |
Course L2690: Computer Science for Engineers - Programming Concepts, Data Handling & Communication |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Sibylle Fröschle |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1290: Simulation of intra logistics |
||||||||
Courses | ||||||||
|
Module Responsible | Dr. Johannes Hinckeldeyn |
Admission Requirements | None |
Recommended Previous Knowledge |
Successful completion of the module „Technical Logistics“ |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will
acquire the following knowledge:
1. The students are able to explain the significance, the structure and the components of an event- and object-oriented simulation model in intralogistics. 2. The students are able to reflect and explain the process of creating and programming an event- and object-oriented simulation model in intralogistics. 3. The students are able to view critically the strengths and weaknesses of event- and object-oriented simulation model. |
Skills |
The students will
acquire the following skills:
1. The students will be able to derive the necessary parameters for the development of an event- and object-oriented simulation model in intralogistics from an existing logistics system. 2. The students will be able to program and run Plant Simulation simulation models independently. 3. The students can evaluate and interpret the results from a simulation model. |
Personal Competence | |
Social Competence |
The students will
acquire the following social skills:
1. The students are able to develop a complex simulation model in a team. 2. The students know the different roles in joint development of a simulation model and can give feedback to their respective roles. 3. The students are able to process the simulation results and present them in front of a audience. |
Autonomy |
The students will
acquire the following independent competencies:
1. The students work independently in an initially unknown software (Plant Simulation). 2. The students are able to derive independently the necessary simulation parameters from information about a logistics system. 3. The students are able to develop and program an event- and object-oriented simulation models from given parameters. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L1755: Simulation of intra logistics |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Dr. Johannes Hinckeldeyn |
Language | DE |
Cycle | SoSe |
Content |
The seminar
provides an introduction to the development and programming of event and
object-oriented simulation models based on the Plant Simulation software. The
simulation models are focused on issues and problems in the field of
intralogistics.
The seminar will be conducted as a combination of theoretical content and autonomously solving simulation tasks on the computer. The students learn the ideal development workflow, programming and evaluation of a simulation model. Furthermore, the student will become familiar with the standard objects of a simulation model in Plant Simulation and their properties and functions. These standard objects will be used, if necessary with the assistance of the instructor, to build simulation models and analyze and evaluate the results. Furthermore, an introduction to the individual programming of simulation models is given on the basis of Sim Talk language. |
Literature |
Bangsow, Steffen (2011): Praxishandbuch
Plant Simulation und SimTalk, Hanser Verlag, München.
Bangsow, Steffen (2015): Tecnomatix plant simulation : modeling and programming by means of examples, Springer, Berlin. Eley, Michael (2012): Simulation in der Logistik : Einführung in die Erstellung ereignisdiskreter Modelle unter Verwendung des Werkzeuges "Plant Simulation", Springer, Berlin. |
Module M0852: Graph Theory and Optimization |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Anusch Taraz |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L1046: Graph Theory and Optimization |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Anusch Taraz |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
|
Course L1047: Graph Theory and Optimization |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Anusch Taraz |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1890: Strategic Management of Technological Innovation |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Tim Schweisfurth | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | |||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge | |||||||||
Skills | |||||||||
Personal Competence | |||||||||
Social Competence | |||||||||
Autonomy | |||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 60 minutes | ||||||||
Assignment for the Following Curricula |
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L3127: Strategic Management of Technological Innovation |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Tim Schweisfurth |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Course L3128: Strategic Management of Technological Innovation |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Tim Schweisfurth |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Module M1679: Process Management |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Christian Thies | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | |||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge | |||||||||
Skills | |||||||||
Personal Competence | |||||||||
Social Competence | |||||||||
Autonomy | |||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 60 min | ||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Production Management and Processes: Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L2810: Basics of process management |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christian Thies |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Course L2811: Process management practice |
Typ | Seminar |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christian Thies |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Module M1680: Automation in logistics |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | NN | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
"Technical logistics" successfully completed "Computer Science for Engineers - Introduction and Overview" successfully completed |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
|
||||||||
Skills |
|
||||||||
Personal Competence | |||||||||
Social Competence |
|
||||||||
Autonomy |
|
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 min | ||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Information Technology: Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L2913: Automation in logistics - Lab |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Felix Gehlhoff |
Language | DE |
Cycle | WiSe |
Content |
Introduction to programmable logic controllers (PLC) with CodeSys PLC basics with function blocks and structured text Integration of sensors and actuators Testing of PLC programs in a simulation Transfer of own PLC programs to real control hardware |
Literature |
Wellenreuther, Günter; Zastrow, Dieter (2016): Automatisieren mit SPS - Übersichten und Übungsaufgaben. Von Grundverknüpfungen bis Ablaufsteuerungen, Wortverarbeitungen und Regelungen, Programmieren mit STEP 7 und CoDeSys, Beispiele, Lernaufgaben, Kontrollaufgaben, Lösungen. 7. Auflage. Wiesbaden: Springer Vieweg (Lehrbuch). |
Course L2688: Automation in logistics - seminar |
Typ | Seminar |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Dr. Felix Gehlhoff |
Language | DE |
Cycle | WiSe |
Content |
(1) Measurement and sensor technology (2) Basics of control theory (3) Autonomous Mobile Robots (4) Automated storage systems (5) Robotics in order picking. |
Literature |
Heinrich, Berthold (2019): Grundlagen Regelungstechnik. 5. Auflage. Hg. v. Wolfgang Schneider. Wiesbaden: Springer Vieweg. Parthier, Rainer (2016): Messtechnik. Grundlagen und Anwendungen der elektrischen Messtechnik. 8. Auflage. Wiesbaden, Springer Fachmedien Wiesbaden. Thrun, Sebastian; Burgard, Wolfram; Fox, Dieter (2006): Probabilistic robotics. Cambridge, Massachusetts, London, England: MIT Press. Wehking, Karl-Heinz (2020): Technisches Handbuch Logistik 1. Fördertechnik, Materialfluss, Intralogistik. Berlin, Heidelberg; Springer Vieweg. |
Module M0833: Introduction to Control Systems |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | NN |
Admission Requirements | None |
Recommended Previous Knowledge |
Representation of signals and systems in time and frequency domain, Laplace transform |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence | Students can work in small groups to jointly solve technical problems, and experimentally validate their controller designs |
Autonomy |
Students can obtain information from provided sources (lecture notes, software documentation, experiment guides) and use it when solving given problems. They can assess their knowledge in weekly on-line tests and thereby control their learning progress. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Data Science: Core Qualification: Elective Compulsory Data Science: Specialisation II. Application: Elective Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L0654: Introduction to Control Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Timm Faulwasser |
Language | DE |
Cycle | WiSe |
Content |
Signals and systems
Feedback systems
Root locus techniques
Frequency response techniques
Time delay systems
Digital control
Software tools
|
Literature |
|
Course L0655: Introduction to Control Systems |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Timm Faulwasser |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1593: Data Mining |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Stefan Schulte | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
|
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
After successful completion of the course, students know:
|
||||||||
Skills |
Students are able to analyze large, heterogeneous volumes of data. They know methods and their application to recognize patterns in data sets and data clusters. The students are able to apply the studied methods in different domains, e.g., for data streams, text data, or time series data. |
||||||||
Personal Competence | |||||||||
Social Competence |
Students can work on complex problems both independently and in teams. They can exchange ideas with each other and use their individual strengths to solve the problem. |
||||||||
Autonomy |
Students are able to independently investigate a complex problem and assess which competencies are required to solve it. |
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 min | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Data Science: Core Qualification: Compulsory Engineering Science: Specialisation Data Science: Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Mechatronics: Specialisation Dynamic Systems and AI: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L2434: Data Mining |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Stefan Schulte, Dr. Dominik Schallmoser |
Language | EN |
Cycle | WiSe |
Content |
|
Literature |
Charu C. Aggarwal: Text Mining - The Textbook, Springer, 2015. Available at https://link.springer.com/book/10.1007/978-3-319-14142-8 |
Course L2435: Data Mining |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Stefan Schulte, Dr. Dominik Schallmoser |
Language | EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1289: Logistical systems - Industry 4.0 |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Jochen Kreutzfeldt |
Admission Requirements | None |
Recommended Previous Knowledge |
Successful completion of the module „Technical Logistics“ |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will
acquire the following knowledge:
1. The students are able to understand and explain the concept "Logistical System". 2. The students are able to design a logistic system conceptually. 3. The students can develop and implement the control of a logistic system with python. |
Skills |
The students will
acquire the following skills:
1. The students are able to identify logistical systems, analyze and identify potential for change and improvement. 2. The students know different technical solutions to address problems in logistical systems. 3. The students are capable of deploying technical solutions and ideas from the concept Industry 4.0 to deal with logistical problems. |
Personal Competence | |
Social Competence |
The students will
acquire the following social skills:
1. The students are able to develop technical solutions for logistical systems and reflect their contribution within the team. 2. The technical solutions from the group can be jointly documented and presented. 3. Students are able to present their technological solutions to an audience and derived from the critique new ideas and improvements. |
Autonomy |
The students will
acquire the following independent competencies:
1. The students can independently develop technical solutions for logistical problems under supervision. 2. The students are able to evaluate their technical solutions and discuss the pros and cons. 3. The students are able to assess the impact of the concept Industry 4.0 on their own career development. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Lab prototype with documentation (group work) |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1753: Logistics systems - Industry 4.0 |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Jochen Kreutzfeldt |
Language | DE |
Cycle | WiSe |
Content |
The lecture gives
an introduction to the concept of logistical systems with a special emphasis on
the subject of Industry 4.0. Here, the system concept in logistics from a
technical point of view is introduced. A logistical system is understood as a
combination of transport, storage and change processes between source and sink
of goods. This lecture will look at the technical aspect of these processes.
Industry is a topic of this lecture. Industry 4.0 is understood as the far-reaching digitization and networking of logistical systems and the connection of logistical objects, processes and systems. The logistics industry expects Industry 4.0 to be a profound change and the realization of large improvement potentials. The lecture provides an in-depth introduction to application cases and business models of Industry 4.0 in logistics from a technical standpoint. A possible framework for Industry 4.0 is presented and several application examples are shown. In the exercises, students learn will learn the exemplary use of different technical solutions and know how, which can be used to improve logistical systems. |
Literature |
Bauernhansl, Thomas et al. (2014): Industrie 4.0
in Produktion, Automatisierung und Logistik. Anwendung, Technologien,
Migration. Wiesbaden: Springer Vieweg.
Hausladen, Iris (2014): IT-gestützte Logistik. Systeme - Prozesse - Anwendungen. 2. Auflage 2014. Wiesbaden: Imprint: Gabler Verlag. Hompel, Michael ten; Büchter, Hubert; Franzke, Ulrich (2008): Identifikationssysteme und Automatisierung. [Intralogistik]. Berlin, Heidelberg: Springer. Kaufmann, Timothy (2015): Geschäftsmodelle in Industrie 4.0 und dem Internet der Dinge. Der Weg vom Anspruch in die Wirklichkeit. Wiesbaden: Springer Fachmedien Wiesbaden. Martin, Heinrich (2014): Transport- und Lagerlogistik. Planung, Struktur, Steuerung und Kosten von Systemen der Intralogistik. 9., Auflage 2014. Wiesbaden: Imprint: Springer Vieweg. Runkler, Thomas A. (2010): Data-Mining. Methoden und Algorithmen intelligenter Datenanalyse. 1. Aufl. Wiesbaden: Vieweg + Teubner (Studium). |
Module M1423: Algorithms and Data Structures |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Matthias Mnich | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
|
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
|
||||||||
Skills |
|
||||||||
Personal Competence | |||||||||
Social Competence |
|
||||||||
Autonomy |
|
||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 min | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Engineering Science: Specialisation Data Science: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L2046: Algorithms and Data Structures |
Typ | Lecture |
Hrs/wk | 4 |
CP | 4 |
Workload in Hours | Independent Study Time 64, Study Time in Lecture 56 |
Lecturer | Prof. Matthias Mnich |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature |
|
Course L2047: Algorithms and Data Structures |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Matthias Mnich |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1592: Statistics |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Matthias Schulte |
Admission Requirements | None |
Recommended Previous Knowledge |
Stochastics (or a comparable class) |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Computer Science: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory Computer Science: Specialisation II. Mathematics and Engineering Science: Elective Compulsory Data Science: Core Qualification: Compulsory Engineering Science: Specialisation Advanced Materials: Elective Compulsory Engineering Science: Specialisation Data Science: Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory Theoretical Mechanical Engineering: Specialisation Robotics and Computer Science: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L2430: Statistics |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Matthias Schulte |
Language | DE/EN |
Cycle | WiSe |
Content |
|
Literature |
|
Course L2431: Statistics |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Matthias Schulte |
Language | DE/EN |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0853: Mathematics III |
||||||||||||||||||||||||||||
Courses | ||||||||||||||||||||||||||||
|
Module Responsible | Prof. Marko Lindner |
Admission Requirements | None |
Recommended Previous Knowledge | Mathematics I + II |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 128, Study Time in Lecture 112 |
Credit points | 8 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 min (Analysis III) + 60 min (Differential Equations 1) |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Naval Architecture: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory |
Course L1028: Analysis III |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content |
Main features of differential and integrational calculus of several variables
|
Literature |
|
Course L1029: Analysis III |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1030: Analysis III |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1031: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content |
Main features of the theory and numerical treatment of ordinary differential equations
|
Literature |
|
Course L1032: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1033: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1070: Simulation of Transport and Handling Systems |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Carlos Jahn | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Basic knowledge of transport- and handlingtechnology. |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students can…
|
||||||||
Skills |
Students are able to…
|
||||||||
Personal Competence | |||||||||
Social Competence |
Students are capable of…
|
||||||||
Autonomy |
Students are able…
|
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Subject theoretical and practical work | ||||||||
Examination duration and scale | Simulation study and report with approximately 15 pages per person | ||||||||
Assignment for the Following Curricula |
Data Science: Core Qualification: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1352: Simulation of Transport and Handling Systems |
Typ | Lecture |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content |
The lecture deals with the simulation of external logistics systems. The focus is therefore on the consideration of logistical processes between companies or on transhipment systems, such as ports or individual terminals. In the first part of the lecture, students will first acquire basic knowledge of external logistics systems and the advantages of using simulations to present them. Then an overview of existing simulation types and programs is given and examples for existing simulation models of logistic systems in science and practice are shown. Some simulation models will be demonstrated. In the second part of the lecture the students learn the basic handling of the simulation software Plant Simulation®. They receive theoretical explanations of the general functionality of the simulation tool, which are further deepened through the use of extensive, interactive examples. At the same time, five exercises, which build on each other, offer students the opportunity to implement the course content they have learnt alone and in small groups. The exercises can be completed during the supervised lecture periods as well as at other times. The acquired knowledge is to be applied in the third part in the course of group work. The students will be divided into groups, each of which will then work on a relevant problem from the field of (external) logistic systems by means of simulation. The students are given a defined period of time for their work. During this time at least one person is always available for questions and suggestions. The results of the group work are to be documented in a simulation report and handed in at the end of the processing time. Finally, the individual groups present the problems they have worked on and their results in a presentation. |
Literature |
Bangsow, Steffen (2011): Praxishandbuch Plant Simulation und SimTalk. Anwendung und Programmierung in über 150 Beispiel-Modellen. München: Hanser Verlag. Eley, Michael (2012): Simulation in der Logistik. Einführung in die Erstellung ereignisdiskreter Modelle unter Verwendung des Werkzeuges "Plant Simulation". Berlin, Heidelberg: Springer. Engelhardt-Nowitzki, Corinna; Nowitzki, Olaf; Krenn, Barbara (2008): Management komplexer Materialflüsse mittels Simulation. State-of-the-Art und innovative Konzepte. Wiesbaden: Deutscher Universitäts-Verlag / GWV Fachverlage GmbH, Wiesbaden. Rabe, Markus; Spieckermann, Sven; Wenzel, Sigrid (2008): Verifikation und Validierung für die Simulation in Produktion und Logistik. Vorgehensmodelle und Techniken. Berlin, Heidelberg: Springer. Sargent, Robert G. (2010): Verification and Validation of Simulation Models. In: B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.: Proceedings of the 2010 Winter Simulation Conference. VDI‐Richlinie: VDI 3633. Simulation von Logistik‐, Materialfluß‐und Produktionssystemen Wenzel, Sigrid; Rabe, Markus; Spieckermann, Sven (2006): Verifikation und Validierung für die Simulation in Produktion und Logistik. Vorgehensmodelle und Techniken. 1. Aufl. Berlin: Springer Berlin. |
Course L1818: Simulation of Transport and Handling Systems |
Typ | Recitation Section (small) |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1349: Object-oriented programming in logistics |
||||||||
Courses | ||||||||
|
Module Responsible | Philipp Maximilian_doppelt Braun_doppelt |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic computer skills Computer Science for Engineers - Introduction and Overview |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will acquire the following knowledge: 1. The students are able to explain the basics of object-oriented programming with Java. 2. The students know basic data types, control structures and basic concepts of object orientation and inheritance in the Java programming language. 3. The students know the necessary tools for programming with Java. |
Skills |
The students will acquire the following skills: 1. The students will be able to develop and run programs with Java independently. 2. The students will be able to develop and implement own objects and classes with Java. 3. The students are able to identify and overcome failures autonomously (debugging). |
Personal Competence | |
Social Competence |
The students will acquire the following social skills: 1. The students can explain self-developed programs to other students. 2. The students can support others in finding failures and mistakes in their software-code. 3. The students are able to present their programs in front of a audience. |
Autonomy |
The students will acquire the following competencies: 1. The students work independently with an initially unknown programming language (Java). 2. The students are able to derive independently the necessary source code for a given problem. 3. The students are able to write their own source code in Java based on given a problem. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1901: Object-oriented programming in logistics |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | NN |
Language | DE |
Cycle | WiSe |
Content |
The seminar provides an introduction to object-oriented programming with Java. Practical knowledge will be transferred through programming exercises parallel to theoretical content. The exercises will deal mainly with logistical problems. The seminar will be conducted as an integrated seminar with a combination of theoretical content and autonomously solved programming problems on the computer. Furthermore, the student will become familiar with the standard libraries of Java and their properties and functions. These standard objects will be used, if necessary with the assistance of an instructor, to build own programs. Furthermore, an introduction to the actual software development kits (SDK) of Java will be given. |
Literature |
Goll, Joachim; Heinisch, Cornelia (2014): Java als erste Programmiersprache. Ein professioneller Einstieg in die Objektorientierung mit Java. 7. Aufl. 2014. Wiesbaden: Imprint: Springer Vieweg. Jobst, Fritz (2015): Programmieren in Java. [aktuell zu Java 8]. 7., vollst. überarb. Aufl. München: Hanser. Abts, Dietmar (2015): Grundkurs JAVA. Von den Grundlagen bis zu Datenbank- und Netzanwendungen. 8. Aufl. Wiesbaden: Springer Vieweg. |
Module M0980: Logistics, Transport and Environment |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Heike Flämig |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to...
|
Skills |
Students are able to...
|
Personal Competence | |
Social Competence |
Students can...
|
Autonomy |
Students can...
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Written assignment with short presentation |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L0009: Logistics, Transport and Environment |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Heike Flämig |
Language | DE |
Cycle | SoSe |
Content |
Application and creative development of professional knowledge within the framework of the case study "Environmental impacts of supply chains" using a specific company as example. Depending on the chosen focus of the academic year:
|
Literature |
Ihde, Gösta B.: Transport, Verkehr, Logistik. Gesamtwirtschaftliche Aspekte und einzelwirtschaftliche Handhabung. 3. überarbeitete Auflage. Vahlen, München 2001 |
Course L1160: Environmental Management and Corporate Responsibilty |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Heike Flämig |
Language | DE |
Cycle | SoSe |
Content |
|
Literature | -- |
Module M1595: Machine Learning I |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Nihat Ay | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | Linear Algebra, Analysis, Basic Programming Course | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
The students know
|
||||||||
Skills |
The students can
|
||||||||
Personal Competence | |||||||||
Social Competence |
Students can work on complex problems both independently and in teams. They can exchange ideas with each other and use their individual strengths to solve the problem. |
||||||||
Autonomy |
Students are able to independently investigate a complex problem and assess which competencies are required to solve it. |
||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 min | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory Computer Science: Specialisation I. Computer and Software Engineering: Elective Compulsory Data Science: Core Qualification: Compulsory Engineering Science: Specialisation Advanced Materials: Elective Compulsory Engineering Science: Specialisation Mechatronics: Elective Compulsory Engineering Science: Specialisation Data Science: Compulsory Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory Computer Science in Engineering: Specialisation I. Computer Science: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Mechanical Engineering: Specialisation Theoretical Mechanical Engineering: Elective Compulsory Mechatronics: Specialisation Dynamic Systems and AI: Compulsory Technomathematics: Specialisation II. Informatics: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L2432: Machine Learning I |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Nihat Ay |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
|
Course L2433: Machine Learning I |
Typ | Recitation Section (small) |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Nihat Ay |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0727: Stochastics |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Matthias Schulte |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Data Science: Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Engineering Science: Specialisation Advanced Materials: Elective Compulsory Engineering Science: Specialisation Data Science: Compulsory Engineering Science: Specialisation Electrical Engineering: Elective Compulsory Engineering Science: Specialisation Electrical Engineering: Elective Compulsory Computer Science in Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Orientation Studies: Core Qualification: Elective Compulsory Theoretical Mechanical Engineering: Core Qualification: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L0777: Stochastics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Matthias Schulte |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0778: Stochastics |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Matthias Schulte |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Specialization II. Production Management and Processes
Module M0865: Fundamentals of Production and Quality Management |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Hermann Lödding |
Admission Requirements | None |
Recommended Previous Knowledge | None |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | Students are able to explain the contents of the lecture of the module. |
Skills | Students are able to apply the methods and models in the module to industrial problems. |
Personal Competence | |
Social Competence | - |
Autonomy | - |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 180 Minuten |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory Engineering Science: Core Qualification: Compulsory Engineering Science: Specialisation Mechatronics: Elective Compulsory Engineering Science: Specialisation Mechanical Engineering: Elective Compulsory Engineering Science: Specialisation Advanced Materials: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Compulsory Logistics and Mobility: Specialisation Engineering Science: Elective Compulsory Mechanical Engineering: Core Qualification: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory |
Course L0925: Production Process Organization |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Hermann Lödding |
Language | EN |
Cycle | SoSe |
Content |
(A) Introduction (B) Product planning (C) Process planning (D) Procurement (E) Manufacturing (F) Production planning and control (PPC) (G) Distribution (H) Cooperation |
Literature |
Wiendahl, H.-P.: Betriebsorganisation für Ingenieure Vorlesungsskript |
Course L0926: Quality Management |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Hermann Lödding |
Language | EN |
Cycle | SoSe |
Content |
|
Literature |
|
Module M1679: Process Management |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Christian Thies | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | |||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge | |||||||||
Skills | |||||||||
Personal Competence | |||||||||
Social Competence | |||||||||
Autonomy | |||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 60 min | ||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Production Management and Processes: Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L2810: Basics of process management |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christian Thies |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Course L2811: Process management practice |
Typ | Seminar |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Christian Thies |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Module M1680: Automation in logistics |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | NN | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
"Technical logistics" successfully completed "Computer Science for Engineers - Introduction and Overview" successfully completed |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
|
||||||||
Skills |
|
||||||||
Personal Competence | |||||||||
Social Competence |
|
||||||||
Autonomy |
|
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 min | ||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Information Technology: Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L2913: Automation in logistics - Lab |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dr. Felix Gehlhoff |
Language | DE |
Cycle | WiSe |
Content |
Introduction to programmable logic controllers (PLC) with CodeSys PLC basics with function blocks and structured text Integration of sensors and actuators Testing of PLC programs in a simulation Transfer of own PLC programs to real control hardware |
Literature |
Wellenreuther, Günter; Zastrow, Dieter (2016): Automatisieren mit SPS - Übersichten und Übungsaufgaben. Von Grundverknüpfungen bis Ablaufsteuerungen, Wortverarbeitungen und Regelungen, Programmieren mit STEP 7 und CoDeSys, Beispiele, Lernaufgaben, Kontrollaufgaben, Lösungen. 7. Auflage. Wiesbaden: Springer Vieweg (Lehrbuch). |
Course L2688: Automation in logistics - seminar |
Typ | Seminar |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Dr. Felix Gehlhoff |
Language | DE |
Cycle | WiSe |
Content |
(1) Measurement and sensor technology (2) Basics of control theory (3) Autonomous Mobile Robots (4) Automated storage systems (5) Robotics in order picking. |
Literature |
Heinrich, Berthold (2019): Grundlagen Regelungstechnik. 5. Auflage. Hg. v. Wolfgang Schneider. Wiesbaden: Springer Vieweg. Parthier, Rainer (2016): Messtechnik. Grundlagen und Anwendungen der elektrischen Messtechnik. 8. Auflage. Wiesbaden, Springer Fachmedien Wiesbaden. Thrun, Sebastian; Burgard, Wolfram; Fox, Dieter (2006): Probabilistic robotics. Cambridge, Massachusetts, London, England: MIT Press. Wehking, Karl-Heinz (2020): Technisches Handbuch Logistik 1. Fördertechnik, Materialfluss, Intralogistik. Berlin, Heidelberg; Springer Vieweg. |
Module M0608: Basics of Electrical Engineering |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Thorsten Kern | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | Basics of mathematics | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students can to draw and explain circuit diagrams for electric and electronic circuits with a small number of components. They can describe the basic function of electric and electronic componentes and can present the corresponding equations. They can demonstrate the use of the standard methods for calculations. |
||||||||
Skills |
Students are able to analyse electric and electronic circuits with few components and to calculate selected quantities in the circuits. They apply the ususal methods of the electrical engineering for this. |
||||||||
Personal Competence | |||||||||
Social Competence |
Students are enabled to collaborate in interdisciplinary teams with electrical engineering as a common language With this, they are learning communication in a target-oriented communication style, are able to understand interfaces to neighboring engineering disciplines and learn about commonalities but also limits in the different directions of engineering. |
||||||||
Autonomy |
Students are able independently to analyse electric and electronic circuits and to calculate selected quantities in the circuits. |
||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Subject theoretical and practical work | ||||||||
Examination duration and scale | 135 minutes | ||||||||
Assignment for the Following Curricula |
Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L0290: Basics of Electrical Engineering |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Thorsten Kern |
Language | DE |
Cycle | WiSe |
Content |
DC networks: Current, voltage, power, Kirchhoff's laws, equivalent sources, network analysis AC: Characteristics, RMS, complexe representation, phasor diagrams, power |
Literature |
Alexander von Weiss, Manfred Krause: "Allgemeine Elektrotechnik"; Viweg-Verlag, Signatur der Bibliothek der TUHH: ETB 309 Ralf Kories, Heinz Schmitt - Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122 "Grundlagen der Elektrotechnik" - andere Autoren |
Course L0292: Basics of Electrical Engineering |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Kern, Weitere Mitarbeiter |
Language | DE |
Cycle | WiSe |
Content |
Excercises to the analysis of circuits and the calculation of electrical quantities th the topics: DC networks: Current, voltage, power, Kirchhoff's laws, equivalent sources, AC: Characteristics, RMS, complexe representation, phasor diagrams, power |
Literature |
Alexander von Weiss, Manfred Krause: "Allgemeine Elektrotechnik"; Viweg-Verlag, Signatur der Bibliothek der TUHH: ETB 309 |
Module M1890: Strategic Management of Technological Innovation |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Tim Schweisfurth | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | |||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge | |||||||||
Skills | |||||||||
Personal Competence | |||||||||
Social Competence | |||||||||
Autonomy | |||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 60 minutes | ||||||||
Assignment for the Following Curricula |
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L3127: Strategic Management of Technological Innovation |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Tim Schweisfurth |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Course L3128: Strategic Management of Technological Innovation |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Tim Schweisfurth |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Module M0933: Fundamentals of Materials Science |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Jörg Weißmüller |
Admission Requirements | None |
Recommended Previous Knowledge |
Highschool-level physics, chemistry und mathematics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students have acquired a fundamental knowledge on metals, ceramics and polymers and can describe this knowledge comprehensively. Fundamental knowledge here means specifically the issues of atomic structure, microstructure, phase diagrams, phase transformations, corrosion and mechanical properties. The students know about the key aspects of characterization methods for materials and can identify relevant approaches for characterizing specific properties. They are able to trace materials phenomena back to the underlying physical and chemical laws of nature. |
Skills |
The students are able to trace materials phenomena back to the underlying physical and chemical laws of nature. Materials phenomena here refers to mechanical properties such as strength, ductility, and stiffness, chemical properties such as corrosion resistance, and to phase transformations such as solidification, precipitation, or melting. The students can explain the relation between processing conditions and the materials microstructure, and they can account for the impact of microstructure on the material’s behavior. |
Personal Competence | |
Social Competence | - |
Autonomy | - |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 180 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Naval Architecture: Compulsory General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Compulsory Data Science: Specialisation II. Application: Elective Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1085: Fundamentals of Materials Science I |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Jörg Weißmüller |
Language | DE |
Cycle | WiSe |
Content | |
Literature |
Vorlesungsskript W.D. Callister: Materials Science and Engineering - An Introduction. 5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7 P. Haasen: Physikalische Metallkunde. Springer 1994 |
Course L0506: Fundamentals of Materials Science II (Advanced Ceramic Materials, Polymers and Composites) |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Bodo Fiedler, Prof. Gerold Schneider |
Language | DE |
Cycle | WiSe |
Content | Chemische Bindungen und Aufbau von Festkörpern; Kristallaufbau; Werkstoffprüfung; Schweißbarkeit; Herstellung von Keramiken; Aufbau und Eigenschaften der Keramik; Herstellung, Aufbau und Eigenschaften von Gläsern; Polymerwerkstoffe, Makromolekularer Aufbau; Struktur und Eigenschaften der Polymere; Polymerverarbeitung; Verbundwerkstoffe |
Literature |
Vorlesungsskript W.D. Callister: Materials Science and Engineering -An Introduction-5th ed., John Wiley & Sons, Inc., New York, 2000, ISBN 0-471-32013-7 |
Course L1095: Physical and Chemical Basics of Materials Science |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Gregor Vonbun-Feldbauer |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
Für den Elektromagnetismus:
Für die Atomphysik:
Für die Materialphysik und Elastizität:
|
Module M0956: Measurement Technology for Mechanical Engineers |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Thorsten Kern | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Basic knowledge of physics, chemistry and electrical engineering |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students are able to name the most important fundmentals of the Measurement Technology (Quantities and Units, Uncertainty, Calibration, Static and Dynamic Properties of Sensors and Systems). They can outline the most important measuring methods for different kinds of quantities to be maesured (Electrical Quantities, Temperature, mechanical quantities, Flow, Time, Frequency). They can describe important methods of chemical Analysis (Gas Sensors, Spectroscopy, Gas Chromatography) |
||||||||
Skills |
Students can select suitable measuring methods to given problems and can use refering measurement devices in practice. The students are able to orally explain issues in the subject area of measurement technology and solution approaches as well as place the issues into the right context and application area. |
||||||||
Personal Competence | |||||||||
Social Competence |
Students can arrive at work results in groups and document them in a common report. |
||||||||
Autonomy |
Students are able to familiarize themselves with new measurement technologies. |
||||||||
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Subject theoretical and practical work | ||||||||
Examination duration and scale | Successfull execution of up to 12 short experiments on measurements technology and sucessfull participation in the practical course of "Practical Course: Measurement and Control Systems" | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Biomedical Engineering: Compulsory General Engineering Science (German program, 7 semester): Specialisation Advanced Materials: Elective Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Engineering Science: Specialisation Mechatronics: Compulsory Engineering Science: Specialisation Mechanical Engineering: Compulsory Engineering Science: Specialisation Biomedical Engineering: Elective Compulsory Engineering Science: Specialisation Advanced Materials: Elective Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechatronics: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Biomedical Engineering: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Specialisation Naval Engineering: Compulsory Mechatronics: Specialisation Electrical Systems: Compulsory Mechatronics: Specialisation Dynamic Systems and AI: Compulsory Mechatronics: Core Qualification: Compulsory Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory Mechatronics: Specialisation Medical Engineering: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1119: Practical Course: Measurement and Control Systems |
Typ | Practical Course |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Kern |
Language | DE |
Cycle |
WiSe/ |
Content |
The content of experiment 1: Accuracy testing of a delta robot: In the course of the experiment, the accuracy of a delta robot is tested through 3 tasks. The first task focuses on the online/offline programming of the robot. The second task deals with sensor calibration. In the third task, the radius of a sphere is determined using three different measurement methods (manual measurement, manual measurement with a sensor, automatic data acquisition and data processing). The content of experiment 3: The aim of the task is to enable the parallel kinematics to find objects, grasp them and place them on a static target position For this purpose, the end effector of the kinematics is equipped with an optical sensor (camera), whose characteristics are to be defined. The measuring range of the sensor is to be identified and, based on this, a movement strategy for finding the objects is to be developed and implemented. Once the objects have been found, they are to be picked up with a magnetic gripper and transported to their destination. The content of experiment 4: The aim of the task is to enable the parallel kinematics to find objects, grab them and deposit them on a moving platform. For this purpose, the end effector of the kinematics is equipped with an optical sensor (camera), the properties of which were worked out in experiment 3. Based on this, the parallel kinematics should now be able to follow the moving platform. For this purpose, a position control must be developed and implemented. Once the controller has been appropriately configured, the objects can be placed on the moving platform. |
Literature |
Versuch 1:
Versuch 3:
Versuch 4:
Bibliography: Experiment 1
Experiment 3:
Experiment 4:
|
Course L1116: Measurement Technology for Mechanical Engineering |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Kern, Dennis Kähler |
Language | EN |
Cycle | WiSe |
Content |
1 Fundamentals 1.1 Quantities and Units 1.2 Uncertainty 1.3 Calibration 1.4 Static and Dynamic Properties of Sensors and Systems 2 Measurement of Electrical Quantities 2.1 Current and Voltage 2.2 Impedance 2.3 Amplification 2.4 Oscilloscope 2.5 Analog-to-Digital Conversion 2.6 Data Transmission 3 Measurement of Nonelectric Quantities 3.1 Temperature 3.2 Length, Displacement, Angle 3.3 Strain, Force, Pressure 3.4 Flow 3.5 Time, Frequency |
Literature |
Lerch, R.: „Elektrische Messtechnik; Analoge, digitale und computergestützte Verfahren“, Springer, 2006, ISBN: 978-3-540-34055-3. Profos, P. Pfeifer, T.: „Handbuch der industriellen Messtechnik“, Oldenbourg, 2002, ISBN: 978-3486217940. |
Course L1118: Measurement Technology for Mechanical Engineering |
Typ | Practical Course |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Kern |
Language | EN |
Cycle |
WiSe/ |
Content | See interlocking course |
Literature | See interlocking course |
Module M0853: Mathematics III |
||||||||||||||||||||||||||||
Courses | ||||||||||||||||||||||||||||
|
Module Responsible | Prof. Marko Lindner |
Admission Requirements | None |
Recommended Previous Knowledge | Mathematics I + II |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 128, Study Time in Lecture 112 |
Credit points | 8 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 min (Analysis III) + 60 min (Differential Equations 1) |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Naval Architecture: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory |
Course L1028: Analysis III |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content |
Main features of differential and integrational calculus of several variables
|
Literature |
|
Course L1029: Analysis III |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1030: Analysis III |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1031: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content |
Main features of the theory and numerical treatment of ordinary differential equations
|
Literature |
|
Course L1032: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1033: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1013: Traffic systems and handling technology |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Carlos Jahn | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | none | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students are able to: - explain and classify the terms and their meaning in transport and handling technology - reflect current political conditions and technical developments in transport and handling technology; - identify actors and their tasks in the maritime transport chain (pre-carriage, carriage, on-carriage); - determine, compare and assign suitable applications and areas of use of transport and handling techniques based on the questions: What will be transported? On what should it be transported? Where is the cargo to be handled? By which means? |
||||||||
Skills |
Students can, on the basis of the knowledge they have acquired: - identify and evaluate key performance indicators (e.g. transport times, storage costs, etc.) in the maritime transport chain; - select and dimension suitable techniques for defined transport and handling tasks and critically evaluate approaches to solutions; - differentiate and evaluate transport and handling technologies (e.g. by calculating carbon footprints, transport times and costs for different modes of transport as well as point-to-point or hub-and-spoke freight transport in aviation). |
||||||||
Personal Competence | |||||||||
Social Competence |
Students are able to: - successfully and respectfully discuss and organise research tasks in small groups in the context of a comprehensive written elaboration during the semester and to present and represent them in a comprehensible way; - describe, differentiate and evaluate problems (e.g. in the joint compilation of factual knowledge on topics such as slow steaming in container shipping or the establishment of different maritime supply chains); - participate in technical discussions on topics from the transport and handling technology.
|
||||||||
Autonomy |
After completion of the module students capable to: - acquire knowledge of parts of the subject area independently and apply the acquired knowledge to solve new problems; - conduct a systematic literature search and record this in a scientific text; - critically reflect on the results of their own work. |
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 minutes | ||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Traffic Planning and Systems: Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L0715: Traffic systems and handling technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content |
In the course Transport Systems and Handling Technology the elementary basics, characteristics, possible applications and areas of expediency of transport and handling technology are taught. The students should be enabled to select, conceptualize and evaluate suitable techniques for defined transport and handling tasks. In addition to the goods to be transported and the loading units, the various means of transport, handling concepts and the necessary equipment play a special role. A basic knowledge of the relevant guidelines and standards is also built up. In addition to the transport systems road, rail, water (inland waterways and maritime shipping) and air transport, combined transport is also addressed. Contents of the lecture
|
Literature |
Clausen, Uwe; Geiger, Christiane (2013). Verkehrs- und Transportlogistik. Conrady, Roland; Fichert, Frank; Sterzenbach, Rüdiger (2019). Luftverkehr: Betriebswirtschaftliches Lehr- und Handbuch. Gleißner, Harald; Femerling, Christian (2012). Logistik: Grundlagen - Übungen - Fallbeispiele. Kranke, Andre; Schmied, Martin; Schön, Andrea D. (2011). CO2-Berechnung in der Logistik: Datenquellen, Formeln, Standards. Pachl, Jörn (2018). Systemtechnik des Schienenverkehrs: Bahnbetrieb planen, steuern und sichern. Rodrigue, Jean-Paul (2020). Geography of Transport Systems. |
Course L0718: Traffic systems and handling technology |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content |
The exercise of the course Traffic Systems and Handling Technology is carried out as a guided group exercise. In the exercise sessions, students receive assignment sheets on the sub-topics of the course and work on these independently. The exercise sheets mainly consist of computational tasks as well as comprehension questions. The lecturers are available to the students during the exercise to discuss calculation methods and results. There is the possibility for students to earn 10-15% bonus points on their passed exam in the course of voluntary additional work, depending on the extent. For example, by working on the worksheets in small groups and handing them in. The classroom training can be supplemented by digital exercises. |
Literature |
Biebig , Peter; Althof, Wolfgang.; Wagener, Norbert (2008) Seeverkehrswirtschaft : Kompendium. 4. Auflage. Geisler, Alexander; Johns, Dirk Max (2018): See Schiff Ladung: Fachbuch für Schifffahrtskaufleute: von Praktikern für Praktiker, 2. Auflage. Bänsch, Axel; Alewell, Dorothea; Moll, Tobias (2020): Wissenschaftliches Arbeiten, 12. Auflage. Voss, Rüdiger (2019): Wissenschaftliches Arbeiten: … leicht verständlich. 6. Auflage. |
Module M1112: Production Logistics |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Thorsten Blecker |
Admission Requirements | None |
Recommended Previous Knowledge |
none |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Knowledge: Students will have acquired knowledge in the following areas: |
Skills |
Skills: Students will based on the acquired knowledge be in a position to |
Personal Competence | |
Social Competence |
Social competence: After completing the module students are capable of |
Autonomy |
After completing the module students are capable to work independently on a subject and transfer the acquired knowledge to new problems. |
Workload in Hours | Independent Study Time 152, Study Time in Lecture 28 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | approx. 20 pages plus presentation (20 minutes per person) |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1253: Production Logistics Seminar |
Typ | Seminar |
Hrs/wk | 2 |
CP | 6 |
Workload in Hours | Independent Study Time 152, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Blecker |
Language | DE |
Cycle | WiSe |
Content |
Within the Production Logistics Seminar the students shall compose a first term paper. In the beginning production-close logstic topics will be distributed which the students have to elaborate on their own. This workshop aims at the better motivation of the students to structure new and creative ideas and develop them to innovative solutions. This workshop contains regular meetings as well as two presentations in the middle and at the end. |
Literature |
Skripte und Textdokumente, die während der Vorlesung herausgegeben werden. |
Module M0833: Introduction to Control Systems |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | NN |
Admission Requirements | None |
Recommended Previous Knowledge |
Representation of signals and systems in time and frequency domain, Laplace transform |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence | Students can work in small groups to jointly solve technical problems, and experimentally validate their controller designs |
Autonomy |
Students can obtain information from provided sources (lecture notes, software documentation, experiment guides) and use it when solving given problems. They can assess their knowledge in weekly on-line tests and thereby control their learning progress. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Data Science: Core Qualification: Elective Compulsory Data Science: Specialisation II. Application: Elective Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L0654: Introduction to Control Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Timm Faulwasser |
Language | DE |
Cycle | WiSe |
Content |
Signals and systems
Feedback systems
Root locus techniques
Frequency response techniques
Time delay systems
Digital control
Software tools
|
Literature |
|
Course L0655: Introduction to Control Systems |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Timm Faulwasser |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1289: Logistical systems - Industry 4.0 |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Jochen Kreutzfeldt |
Admission Requirements | None |
Recommended Previous Knowledge |
Successful completion of the module „Technical Logistics“ |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will
acquire the following knowledge:
1. The students are able to understand and explain the concept "Logistical System". 2. The students are able to design a logistic system conceptually. 3. The students can develop and implement the control of a logistic system with python. |
Skills |
The students will
acquire the following skills:
1. The students are able to identify logistical systems, analyze and identify potential for change and improvement. 2. The students know different technical solutions to address problems in logistical systems. 3. The students are capable of deploying technical solutions and ideas from the concept Industry 4.0 to deal with logistical problems. |
Personal Competence | |
Social Competence |
The students will
acquire the following social skills:
1. The students are able to develop technical solutions for logistical systems and reflect their contribution within the team. 2. The technical solutions from the group can be jointly documented and presented. 3. Students are able to present their technological solutions to an audience and derived from the critique new ideas and improvements. |
Autonomy |
The students will
acquire the following independent competencies:
1. The students can independently develop technical solutions for logistical problems under supervision. 2. The students are able to evaluate their technical solutions and discuss the pros and cons. 3. The students are able to assess the impact of the concept Industry 4.0 on their own career development. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Lab prototype with documentation (group work) |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1753: Logistics systems - Industry 4.0 |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Jochen Kreutzfeldt |
Language | DE |
Cycle | WiSe |
Content |
The lecture gives
an introduction to the concept of logistical systems with a special emphasis on
the subject of Industry 4.0. Here, the system concept in logistics from a
technical point of view is introduced. A logistical system is understood as a
combination of transport, storage and change processes between source and sink
of goods. This lecture will look at the technical aspect of these processes.
Industry is a topic of this lecture. Industry 4.0 is understood as the far-reaching digitization and networking of logistical systems and the connection of logistical objects, processes and systems. The logistics industry expects Industry 4.0 to be a profound change and the realization of large improvement potentials. The lecture provides an in-depth introduction to application cases and business models of Industry 4.0 in logistics from a technical standpoint. A possible framework for Industry 4.0 is presented and several application examples are shown. In the exercises, students learn will learn the exemplary use of different technical solutions and know how, which can be used to improve logistical systems. |
Literature |
Bauernhansl, Thomas et al. (2014): Industrie 4.0
in Produktion, Automatisierung und Logistik. Anwendung, Technologien,
Migration. Wiesbaden: Springer Vieweg.
Hausladen, Iris (2014): IT-gestützte Logistik. Systeme - Prozesse - Anwendungen. 2. Auflage 2014. Wiesbaden: Imprint: Gabler Verlag. Hompel, Michael ten; Büchter, Hubert; Franzke, Ulrich (2008): Identifikationssysteme und Automatisierung. [Intralogistik]. Berlin, Heidelberg: Springer. Kaufmann, Timothy (2015): Geschäftsmodelle in Industrie 4.0 und dem Internet der Dinge. Der Weg vom Anspruch in die Wirklichkeit. Wiesbaden: Springer Fachmedien Wiesbaden. Martin, Heinrich (2014): Transport- und Lagerlogistik. Planung, Struktur, Steuerung und Kosten von Systemen der Intralogistik. 9., Auflage 2014. Wiesbaden: Imprint: Springer Vieweg. Runkler, Thomas A. (2010): Data-Mining. Methoden und Algorithmen intelligenter Datenanalyse. 1. Aufl. Wiesbaden: Vieweg + Teubner (Studium). |
Module M1349: Object-oriented programming in logistics |
||||||||
Courses | ||||||||
|
Module Responsible | Philipp Maximilian_doppelt Braun_doppelt |
Admission Requirements | None |
Recommended Previous Knowledge |
Basic computer skills Computer Science for Engineers - Introduction and Overview |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will acquire the following knowledge: 1. The students are able to explain the basics of object-oriented programming with Java. 2. The students know basic data types, control structures and basic concepts of object orientation and inheritance in the Java programming language. 3. The students know the necessary tools for programming with Java. |
Skills |
The students will acquire the following skills: 1. The students will be able to develop and run programs with Java independently. 2. The students will be able to develop and implement own objects and classes with Java. 3. The students are able to identify and overcome failures autonomously (debugging). |
Personal Competence | |
Social Competence |
The students will acquire the following social skills: 1. The students can explain self-developed programs to other students. 2. The students can support others in finding failures and mistakes in their software-code. 3. The students are able to present their programs in front of a audience. |
Autonomy |
The students will acquire the following competencies: 1. The students work independently with an initially unknown programming language (Java). 2. The students are able to derive independently the necessary source code for a given problem. 3. The students are able to write their own source code in Java based on given a problem. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1901: Object-oriented programming in logistics |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | NN |
Language | DE |
Cycle | WiSe |
Content |
The seminar provides an introduction to object-oriented programming with Java. Practical knowledge will be transferred through programming exercises parallel to theoretical content. The exercises will deal mainly with logistical problems. The seminar will be conducted as an integrated seminar with a combination of theoretical content and autonomously solved programming problems on the computer. Furthermore, the student will become familiar with the standard libraries of Java and their properties and functions. These standard objects will be used, if necessary with the assistance of an instructor, to build own programs. Furthermore, an introduction to the actual software development kits (SDK) of Java will be given. |
Literature |
Goll, Joachim; Heinisch, Cornelia (2014): Java als erste Programmiersprache. Ein professioneller Einstieg in die Objektorientierung mit Java. 7. Aufl. 2014. Wiesbaden: Imprint: Springer Vieweg. Jobst, Fritz (2015): Programmieren in Java. [aktuell zu Java 8]. 7., vollst. überarb. Aufl. München: Hanser. Abts, Dietmar (2015): Grundkurs JAVA. Von den Grundlagen bis zu Datenbank- und Netzanwendungen. 8. Aufl. Wiesbaden: Springer Vieweg. |
Module M1070: Simulation of Transport and Handling Systems |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Carlos Jahn | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Basic knowledge of transport- and handlingtechnology. |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students can…
|
||||||||
Skills |
Students are able to…
|
||||||||
Personal Competence | |||||||||
Social Competence |
Students are capable of…
|
||||||||
Autonomy |
Students are able…
|
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Subject theoretical and practical work | ||||||||
Examination duration and scale | Simulation study and report with approximately 15 pages per person | ||||||||
Assignment for the Following Curricula |
Data Science: Core Qualification: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1352: Simulation of Transport and Handling Systems |
Typ | Lecture |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content |
The lecture deals with the simulation of external logistics systems. The focus is therefore on the consideration of logistical processes between companies or on transhipment systems, such as ports or individual terminals. In the first part of the lecture, students will first acquire basic knowledge of external logistics systems and the advantages of using simulations to present them. Then an overview of existing simulation types and programs is given and examples for existing simulation models of logistic systems in science and practice are shown. Some simulation models will be demonstrated. In the second part of the lecture the students learn the basic handling of the simulation software Plant Simulation®. They receive theoretical explanations of the general functionality of the simulation tool, which are further deepened through the use of extensive, interactive examples. At the same time, five exercises, which build on each other, offer students the opportunity to implement the course content they have learnt alone and in small groups. The exercises can be completed during the supervised lecture periods as well as at other times. The acquired knowledge is to be applied in the third part in the course of group work. The students will be divided into groups, each of which will then work on a relevant problem from the field of (external) logistic systems by means of simulation. The students are given a defined period of time for their work. During this time at least one person is always available for questions and suggestions. The results of the group work are to be documented in a simulation report and handed in at the end of the processing time. Finally, the individual groups present the problems they have worked on and their results in a presentation. |
Literature |
Bangsow, Steffen (2011): Praxishandbuch Plant Simulation und SimTalk. Anwendung und Programmierung in über 150 Beispiel-Modellen. München: Hanser Verlag. Eley, Michael (2012): Simulation in der Logistik. Einführung in die Erstellung ereignisdiskreter Modelle unter Verwendung des Werkzeuges "Plant Simulation". Berlin, Heidelberg: Springer. Engelhardt-Nowitzki, Corinna; Nowitzki, Olaf; Krenn, Barbara (2008): Management komplexer Materialflüsse mittels Simulation. State-of-the-Art und innovative Konzepte. Wiesbaden: Deutscher Universitäts-Verlag / GWV Fachverlage GmbH, Wiesbaden. Rabe, Markus; Spieckermann, Sven; Wenzel, Sigrid (2008): Verifikation und Validierung für die Simulation in Produktion und Logistik. Vorgehensmodelle und Techniken. Berlin, Heidelberg: Springer. Sargent, Robert G. (2010): Verification and Validation of Simulation Models. In: B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.: Proceedings of the 2010 Winter Simulation Conference. VDI‐Richlinie: VDI 3633. Simulation von Logistik‐, Materialfluß‐und Produktionssystemen Wenzel, Sigrid; Rabe, Markus; Spieckermann, Sven (2006): Verifikation und Validierung für die Simulation in Produktion und Logistik. Vorgehensmodelle und Techniken. 1. Aufl. Berlin: Springer Berlin. |
Course L1818: Simulation of Transport and Handling Systems |
Typ | Recitation Section (small) |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0980: Logistics, Transport and Environment |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Heike Flämig |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to...
|
Skills |
Students are able to...
|
Personal Competence | |
Social Competence |
Students can...
|
Autonomy |
Students can...
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Written assignment with short presentation |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L0009: Logistics, Transport and Environment |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Heike Flämig |
Language | DE |
Cycle | SoSe |
Content |
Application and creative development of professional knowledge within the framework of the case study "Environmental impacts of supply chains" using a specific company as example. Depending on the chosen focus of the academic year:
|
Literature |
Ihde, Gösta B.: Transport, Verkehr, Logistik. Gesamtwirtschaftliche Aspekte und einzelwirtschaftliche Handhabung. 3. überarbeitete Auflage. Vahlen, München 2001 |
Course L1160: Environmental Management and Corporate Responsibilty |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Heike Flämig |
Language | DE |
Cycle | SoSe |
Content |
|
Literature | -- |
Module M0610: Electrical Machines and Actuators |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Thorsten Kern |
Admission Requirements | None |
Recommended Previous Knowledge |
Basics of mathematics, in particular complexe numbers, integrals, differentials Basics of electrical engineering and mechanical engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can to draw and explain the basic principles of electric and magnetic fields. They can describe the function of the standard types of electric machines and present the corresponding equations and characteristic curves. For typically used drives they can explain the major parameters of the energy efficiency of the whole system from the power grid to the driven engine. |
Skills |
Students are able to calculate two-dimensional electric and magnetic fields in particular ferromagnetic circuits with air gap. For this they apply the usual methods of the design auf electric machines. They can calulate the operational performance of electric machines from their given characteristic data and selected quantities and characteristic curves. They apply the usual equivalent circuits and graphical methods. |
Personal Competence | |
Social Competence | none |
Autonomy |
Students are able independently to calculate electric and magnatic fields for applications. They are able to analyse independently the operational performance of electric machines from the charactersitic data and theycan calculate thereof selected quantities and characteristic curves. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | Design of four machines and actuators, review of design files |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Engineering Science: Specialisation Electrical Engineering: Elective Compulsory Engineering Science: Specialisation Electrical Engineering: Elective Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: Elective Compulsory Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Elective Compulsory Mechatronics: Specialisation Naval Engineering: Compulsory Mechatronics: Core Qualification: Compulsory Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory Mechatronics: Specialisation Electrical Systems: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L0293: Electrical Machines and Actuators |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Thorsten Kern, Dennis Kähler |
Language | DE |
Cycle | SoSe |
Content |
Electric field: Coulomb´s law, flux (field) line, work, potential, capacitor, energy, force, capacitive actuators Magnetic field: force, flux line, Ampere´s law, field at bounderies, flux, magnetic circuit, hysteresis, induction, self-induction, mutual inductance, transformer, electromagnetic actuators Synchronous machines, construction and layout, equivalent single line diagrams, no-load and short-cuircuit characteristics, vector diagrams, motor and generator operation, stepper motors DC-Machines: Construction and layout, torque generation mechanismen, torque vs speed characteristics, commutation, Asynchronous Machines. Magnetic field, construction and layout, equivalent single line diagram, complex stator current diagram (Heylands´diagram), torque vs. speed characteristics, rotor layout (squirrel-cage vs. sliprings), Drives with variable speed, inverter fed operation, special drives |
Literature |
Hermann Linse, Roland Fischer: "Elektrotechnik für Maschinenbauer", Vieweg-Verlag; Signatur der Bibliothek der TUHH: ETB 313 Ralf Kories, Heinz Schmitt-Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122 "Grundlagen der Elektrotechnik" - anderer Autoren Fachbücher "Elektrische Maschinen" |
Course L0294: Electrical Machines and Actuators |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Kern, Dennis Kähler |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1290: Simulation of intra logistics |
||||||||
Courses | ||||||||
|
Module Responsible | NN |
Admission Requirements | None |
Recommended Previous Knowledge |
Successful completion of the module „Technical Logistics“ |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will
acquire the following knowledge:
1. The students are able to explain the significance, the structure and the components of an event- and object-oriented simulation model in intralogistics. 2. The students are able to reflect and explain the process of creating and programming an event- and object-oriented simulation model in intralogistics. 3. The students are able to view critically the strengths and weaknesses of event- and object-oriented simulation model. |
Skills |
The students will
acquire the following skills:
1. The students will be able to derive the necessary parameters for the development of an event- and object-oriented simulation model in intralogistics from an existing logistics system. 2. The students will be able to program and run Plant Simulation simulation models independently. 3. The students can evaluate and interpret the results from a simulation model. |
Personal Competence | |
Social Competence |
The students will
acquire the following social skills:
1. The students are able to develop a complex simulation model in a team. 2. The students know the different roles in joint development of a simulation model and can give feedback to their respective roles. 3. The students are able to process the simulation results and present them in front of a audience. |
Autonomy |
The students will
acquire the following independent competencies:
1. The students work independently in an initially unknown software (Plant Simulation). 2. The students are able to derive independently the necessary simulation parameters from information about a logistics system. 3. The students are able to develop and program an event- and object-oriented simulation models from given parameters. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L1755: Simulation of intra logistics |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Dr. Johannes Hinckeldeyn |
Language | DE |
Cycle | SoSe |
Content |
The seminar
provides an introduction to the development and programming of event and
object-oriented simulation models based on the Plant Simulation software. The
simulation models are focused on issues and problems in the field of
intralogistics.
The seminar will be conducted as a combination of theoretical content and autonomously solving simulation tasks on the computer. The students learn the ideal development workflow, programming and evaluation of a simulation model. Furthermore, the student will become familiar with the standard objects of a simulation model in Plant Simulation and their properties and functions. These standard objects will be used, if necessary with the assistance of the instructor, to build simulation models and analyze and evaluate the results. Furthermore, an introduction to the individual programming of simulation models is given on the basis of Sim Talk language. |
Literature |
Bangsow, Steffen (2011): Praxishandbuch
Plant Simulation und SimTalk, Hanser Verlag, München.
Bangsow, Steffen (2015): Tecnomatix plant simulation : modeling and programming by means of examples, Springer, Berlin. Eley, Michael (2012): Simulation in der Logistik : Einführung in die Erstellung ereignisdiskreter Modelle unter Verwendung des Werkzeuges "Plant Simulation", Springer, Berlin. |
Module M0725: Production Engineering |
||||||||||||||||||||
Courses | ||||||||||||||||||||
|
Module Responsible | Prof. Jan Hendrik Dege |
Admission Requirements | None |
Recommended Previous Knowledge |
no course assessments required internship recommended |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to ...
|
Skills |
Students are able to...
|
Personal Competence | |
Social Competence |
Students are able to ...
|
Autonomy |
Students are able to ..
|
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Product Development and Production: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Engineering Science: Specialisation Mechanical Engineering: Compulsory Engineering Science: Specialisation Mechanical Engineering: Compulsory General Engineering Science (English program, 7 semester): Specialisation Mechanical Engineering: Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Specialisation Naval Engineering: Compulsory Mechatronics: Core Qualification: Compulsory Mechatronics: Specialisation Robot- and Machine-Systems: Elective Compulsory Mechatronics: Specialisation Medical Engineering: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Compulsory |
Course L0608: Production Engineering I |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Jan Hendrik Dege |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
Dubbel, Heinrich (Grote, Karl-Heinrich.; Feldhusen, Jörg.; Dietz, Peter,; Ziegmann, Gerhard,;) Taschenbuch für den Maschinenbau : mit Tabellen. Berlin [u.a.] : Springer, 2007 Fritz, Alfred Herbert: Fertigungstechnik : mit 62 Tabellen. Berlin [u.a.] : Springer, 2004 Keferstein, Claus P (Dutschke, Wolfgang,;): Fertigungsmesstechnik : praxisorientierte Grundlagen, moderne Messverfahren. Wiesbaden : Teubner, 2008 Mohr, Richard: Statistik für Ingenieure und Naturwissenschaftler : Grundlagen und Anwendung statistischer Verfahren. Renningen : expert-Verl, 2008 Klocke, F., König, W.: Fertigungsverfahren Bd. 1 Drehen, Fäsen, Bohren. 8. Aufl., Springer (2008) Klocke, Fritz (König, Wilfried,;): Umformen. Berlin [u.a.] : Springer, 2006 Paucksch, E.: Zerspantechnik, Vieweg-Verlag, 1996 Tönshoff, H.K.; Denkena, B., Spanen. Grundlagen, Springer-Verlag (2004) |
Course L0612: Production Engineering I |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Jan Hendrik Dege |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0610: Production Engineering II |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Jan Hendrik Dege, Prof. Claus Emmelmann |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
Klocke, F., König, W.: Fertigungsverfahren Bd. 2 Schleifen, Honen, Läppen, 4. Aufl., Springer (2005) Klocke, F., König, W.: Fertigungsverfahren Bd. 3 Abtragen, Generieren und Lasermaterialbearbeitung. 4. Aufl., Springer (2007) Spur, Günter (Stöferle, Theodor.;): Urformen. München [u.a.] : Hanser, 1981 Schatt, Werner (Wieters, Klaus-Peter,; Kieback, Bernd,;): Pulvermetallurgie : Technologien und Werkstoffe. Berlin [u.a.] : Springer, 2007 |
Course L0611: Production Engineering II |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Jan Hendrik Dege, Prof. Claus Emmelmann |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1014: Logistics Service Provider Management |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Heike Flämig |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to...
|
Skills |
Students can...
|
Personal Competence | |
Social Competence |
Students can...
|
Autonomy |
Students can...
|
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | 2 scientific written papers of approx. 20 pages each. Presentation (approx. 15 pages) with 20-minute closing lecture in groups of 3 to max. 5 persons. Grading of 4 partial grades of 25% each (2 seminar papers, 2 presentation documents) individually per group member. |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1240: Logistics Service Provider Management |
Typ | Seminar |
Hrs/wk | 3 |
CP | 6 |
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Lecturer | Prof. Stephan Freichel |
Language | DE |
Cycle | SoSe |
Content |
1 Concept and Functions Define the role of logistics services providers in the overall concept and functions of logistics services providers. Workshop on the role of logistics services providers in the economy, based on up-to-date topics in the field and in the news. 2 Outsourcing and Cooperation Make or buy, forms and management of inter-organizational relations 3 Institutions Special business management features of carriers, haulage contractors, CEP services 4 Trends, Strategies and Management Functions Market trends, requirements, basic business management and management functions (operations, business development, HR, IT, finance/planning and control, organization, leadership) 5 Strategic Developments and Case Studies Selected aspects (e.g. risk and innovation management, global and regional networking, greenwashing and sustainability) Examples: Case Study A) Types of company (such as haulage contractors, railway operators, road transport companies, heavy goods, textile and refrigerated goods specialists, CEPs, etc) will be introduced and discussed in the context of a presentation. Case Study B) Individual companies will be analyzed on the basis of accessible material such as company reports, websites and possibly telephone interviews and case studies will be explained and discussed with regard to the functions of the logistics services provider and the management task of the corporate managements of the selected cases. |
Literature |
Pfohl, H.-Chr.: Logistiksysteme. Betriebswirtschaftliche Grundlagen. Eßig, M. / Hofmann, E. / Stölzle, W.: Supply Chain Management. München 2013. Freichel, S.L.K.: Organisation von Logistikservice-Netzwerken. Reihe: Logistik und Unternehmensführung, hrsg. von Prof. Dr. H.-Chr. Pfohl, Bd. 4. Berlin 1993. Aberle, G.: Transportwirtschaft. Einzelwirtschaftliche und gesamtwirtschaftliche Grundlagen, 4. überarbeitete und erweiterte Auflage, München/Wien 2006. Buchholz, J./Clausen, U./Vastag, A. (Hrsg): Handbuch der Verkehrslogistik, Heidelberg 1998. Corsten, H.: Dienstleistungsmanagement, 3. Auflage, München 1997. Müller-Daupert, B. (Hrsg.): Logistik-Outsourcing, 2. Auflage, München, Vogel, 2009 Ihde, G. B.: Transport, Verkehr, Logistik. Gesamtwirtschaftliche Aspekte und einzelwirtschaftliche Handhabung, 3. völlig überarb. und erw. Auflage, München 2001. van Suntum, U.: Verkehrspolitik, München 1986. |
Specialization II. Traffic Planning and Systems
Module M0986: Introduction to Transportation Economics |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Heike Flämig |
Admission Requirements | None |
Recommended Previous Knowledge | none |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to...
|
Skills |
Based on their gained knowledge students can develop ideas for political decisions and design questions in the transport industry. |
Personal Competence | |
Social Competence |
Students can discuss small tasks in groups and find solutions together. |
Autonomy |
Students are able to solve small tasks on their own with given literature. |
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 minutes |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Traffic Planning and Systems: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Compulsory |
Course L1188: Introduction to Transportation Economics |
Typ | Lecture |
Hrs/wk | 3 |
CP | 6 |
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Lecturer | Karl Michael Probst |
Language | DE |
Cycle | SoSe |
Content |
|
Literature | -- |
Module M0983: Mobility Concepts |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Dr. Philine Gaffron | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | Module Transportation Planning and Traffic Engineering | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students are able to:
|
||||||||
Skills |
Students are able to:
|
||||||||
Personal Competence | |||||||||
Social Competence |
Students are able to:
|
||||||||
Autonomy |
Students are able to:
|
||||||||
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written elaboration | ||||||||
Examination duration and scale | All assignments in groups (2-4 students): written report, 2000 words (incl. 2 short presentations of 10 mins.); final presentation, 20 mins. plus discussion (incl. slides) and 1000 word report incl. peer review (individual). | ||||||||
Assignment for the Following Curricula |
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Compulsory Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Compulsory |
Course L1181: Mobility Research and Transportation Projects |
Typ | Project-/problem-based Learning |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Dr. Philine Gaffron |
Language | DE |
Cycle | SoSe |
Content |
This course places its focus on transport and mobility in Germany. It deals with questions such as:
During the course, these questions will be illustrated and discussed with reference to different examples and current developments. Participants will also provide input on specific topics. Potential core subjects of the course could be:
|
Literature |
Die Literaturempfehlungen sind abhängig von den jeweiligen, wechselnden Themenschwerpunkten und werden rechtzeitig vor Beginn der Veranstaltung bekannt gegeben. |
Course L1182: Mobility in Megacities and Developing Countries |
Typ | Seminar |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Dr. Jürgen Perschon, Christof Hertel |
Language | DE |
Cycle | SoSe |
Content |
The course provides and overview over different transport projects in the metropolitan areas of developing countries. Considering different perspectives on urban growth, social justice, economic development, environmental and climate protection as well as the economic viability of public transport, the specific situation in the urban conglomerates of Asia, Latin America and Africa will be analysed and placed in a regional and global context. Specific public transport systems will be examined to establish, whether they are a suitable example for sustainable urban development. The following examples could be suitable case studies: Singapore (Metro), Lagos (BRT Light), Guanghzou, Bogota, Jakarta (Full BRT), Sao Paulo, Medellin (Cable Car Systems), Johannesburg (Minibus-Taxi). The course will be designed interactively with the students and will partly be in English as is the majority of the literature in this area (also: Skype online interviews with international experts in the transport sector). |
Literature | -- |
Module M1890: Strategic Management of Technological Innovation |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Tim Schweisfurth | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | |||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge | |||||||||
Skills | |||||||||
Personal Competence | |||||||||
Social Competence | |||||||||
Autonomy | |||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 60 minutes | ||||||||
Assignment for the Following Curricula |
Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L3127: Strategic Management of Technological Innovation |
Typ | Lecture |
Hrs/wk | 3 |
CP | 3 |
Workload in Hours | Independent Study Time 48, Study Time in Lecture 42 |
Lecturer | Prof. Tim Schweisfurth |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Course L3128: Strategic Management of Technological Innovation |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Tim Schweisfurth |
Language | EN |
Cycle | WiSe |
Content | |
Literature |
Module M1013: Traffic systems and handling technology |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Carlos Jahn | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | none | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students are able to: - explain and classify the terms and their meaning in transport and handling technology - reflect current political conditions and technical developments in transport and handling technology; - identify actors and their tasks in the maritime transport chain (pre-carriage, carriage, on-carriage); - determine, compare and assign suitable applications and areas of use of transport and handling techniques based on the questions: What will be transported? On what should it be transported? Where is the cargo to be handled? By which means? |
||||||||
Skills |
Students can, on the basis of the knowledge they have acquired: - identify and evaluate key performance indicators (e.g. transport times, storage costs, etc.) in the maritime transport chain; - select and dimension suitable techniques for defined transport and handling tasks and critically evaluate approaches to solutions; - differentiate and evaluate transport and handling technologies (e.g. by calculating carbon footprints, transport times and costs for different modes of transport as well as point-to-point or hub-and-spoke freight transport in aviation). |
||||||||
Personal Competence | |||||||||
Social Competence |
Students are able to: - successfully and respectfully discuss and organise research tasks in small groups in the context of a comprehensive written elaboration during the semester and to present and represent them in a comprehensible way; - describe, differentiate and evaluate problems (e.g. in the joint compilation of factual knowledge on topics such as slow steaming in container shipping or the establishment of different maritime supply chains); - participate in technical discussions on topics from the transport and handling technology.
|
||||||||
Autonomy |
After completion of the module students capable to: - acquire knowledge of parts of the subject area independently and apply the acquired knowledge to solve new problems; - conduct a systematic literature search and record this in a scientific text; - critically reflect on the results of their own work. |
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 minutes | ||||||||
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Traffic Planning and Systems: Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L0715: Traffic systems and handling technology |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content |
In the course Transport Systems and Handling Technology the elementary basics, characteristics, possible applications and areas of expediency of transport and handling technology are taught. The students should be enabled to select, conceptualize and evaluate suitable techniques for defined transport and handling tasks. In addition to the goods to be transported and the loading units, the various means of transport, handling concepts and the necessary equipment play a special role. A basic knowledge of the relevant guidelines and standards is also built up. In addition to the transport systems road, rail, water (inland waterways and maritime shipping) and air transport, combined transport is also addressed. Contents of the lecture
|
Literature |
Clausen, Uwe; Geiger, Christiane (2013). Verkehrs- und Transportlogistik. Conrady, Roland; Fichert, Frank; Sterzenbach, Rüdiger (2019). Luftverkehr: Betriebswirtschaftliches Lehr- und Handbuch. Gleißner, Harald; Femerling, Christian (2012). Logistik: Grundlagen - Übungen - Fallbeispiele. Kranke, Andre; Schmied, Martin; Schön, Andrea D. (2011). CO2-Berechnung in der Logistik: Datenquellen, Formeln, Standards. Pachl, Jörn (2018). Systemtechnik des Schienenverkehrs: Bahnbetrieb planen, steuern und sichern. Rodrigue, Jean-Paul (2020). Geography of Transport Systems. |
Course L0718: Traffic systems and handling technology |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content |
The exercise of the course Traffic Systems and Handling Technology is carried out as a guided group exercise. In the exercise sessions, students receive assignment sheets on the sub-topics of the course and work on these independently. The exercise sheets mainly consist of computational tasks as well as comprehension questions. The lecturers are available to the students during the exercise to discuss calculation methods and results. There is the possibility for students to earn 10-15% bonus points on their passed exam in the course of voluntary additional work, depending on the extent. For example, by working on the worksheets in small groups and handing them in. The classroom training can be supplemented by digital exercises. |
Literature |
Biebig , Peter; Althof, Wolfgang.; Wagener, Norbert (2008) Seeverkehrswirtschaft : Kompendium. 4. Auflage. Geisler, Alexander; Johns, Dirk Max (2018): See Schiff Ladung: Fachbuch für Schifffahrtskaufleute: von Praktikern für Praktiker, 2. Auflage. Bänsch, Axel; Alewell, Dorothea; Moll, Tobias (2020): Wissenschaftliches Arbeiten, 12. Auflage. Voss, Rüdiger (2019): Wissenschaftliches Arbeiten: … leicht verständlich. 6. Auflage. |
Module M0608: Basics of Electrical Engineering |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Thorsten Kern | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | Basics of mathematics | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students can to draw and explain circuit diagrams for electric and electronic circuits with a small number of components. They can describe the basic function of electric and electronic componentes and can present the corresponding equations. They can demonstrate the use of the standard methods for calculations. |
||||||||
Skills |
Students are able to analyse electric and electronic circuits with few components and to calculate selected quantities in the circuits. They apply the ususal methods of the electrical engineering for this. |
||||||||
Personal Competence | |||||||||
Social Competence |
Students are enabled to collaborate in interdisciplinary teams with electrical engineering as a common language With this, they are learning communication in a target-oriented communication style, are able to understand interfaces to neighboring engineering disciplines and learn about commonalities but also limits in the different directions of engineering. |
||||||||
Autonomy |
Students are able independently to analyse electric and electronic circuits and to calculate selected quantities in the circuits. |
||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Subject theoretical and practical work | ||||||||
Examination duration and scale | 135 minutes | ||||||||
Assignment for the Following Curricula |
Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L0290: Basics of Electrical Engineering |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Thorsten Kern |
Language | DE |
Cycle | WiSe |
Content |
DC networks: Current, voltage, power, Kirchhoff's laws, equivalent sources, network analysis AC: Characteristics, RMS, complexe representation, phasor diagrams, power |
Literature |
Alexander von Weiss, Manfred Krause: "Allgemeine Elektrotechnik"; Viweg-Verlag, Signatur der Bibliothek der TUHH: ETB 309 Ralf Kories, Heinz Schmitt - Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122 "Grundlagen der Elektrotechnik" - andere Autoren |
Course L0292: Basics of Electrical Engineering |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Kern, Weitere Mitarbeiter |
Language | DE |
Cycle | WiSe |
Content |
Excercises to the analysis of circuits and the calculation of electrical quantities th the topics: DC networks: Current, voltage, power, Kirchhoff's laws, equivalent sources, AC: Characteristics, RMS, complexe representation, phasor diagrams, power |
Literature |
Alexander von Weiss, Manfred Krause: "Allgemeine Elektrotechnik"; Viweg-Verlag, Signatur der Bibliothek der TUHH: ETB 309 |
Module M0740: Structural Analysis I |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Bastian Oesterle | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge | Mechanics I, Mathematics I | ||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
After successfully completing this module, students can express the basic aspects of linear frame analysis of statically determinate and indeterminate systems. |
||||||||
Skills |
After successful completion of this module, the students are able to distinguish between statically determinate and indeterminate structures. They are able to analyze state variables and to construct influence lines of statically determinate plane and spatial frame and truss structures. |
||||||||
Personal Competence | |||||||||
Social Competence |
Students can
|
||||||||
Autonomy |
The students are able work in-term homework assignments. Due to the in-term feedback, they are enabled to self-assess their learning progress during the lecture period, already. |
||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 minutes | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L0666: Structural Analysis I |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Bastian Oesterle |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
|
Course L0667: Structural Analysis I |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Bastian Oesterle |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L3133: Structural Analysis I |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Bastian Oesterle |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0853: Mathematics III |
||||||||||||||||||||||||||||
Courses | ||||||||||||||||||||||||||||
|
Module Responsible | Prof. Marko Lindner |
Admission Requirements | None |
Recommended Previous Knowledge | Mathematics I + II |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 128, Study Time in Lecture 112 |
Credit points | 8 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 60 min (Analysis III) + 60 min (Differential Equations 1) |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Naval Architecture: Core Qualification: Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Compulsory |
Course L1028: Analysis III |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content |
Main features of differential and integrational calculus of several variables
|
Literature |
|
Course L1029: Analysis III |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1030: Analysis III |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1031: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content |
Main features of the theory and numerical treatment of ordinary differential equations
|
Literature |
|
Course L1032: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1033: Differential Equations 1 (Ordinary Differential Equations) |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Dozenten des Fachbereiches Mathematik der UHH |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0728: Hydromechanics and Hydrology |
||||||||||||||||||||
Courses | ||||||||||||||||||||
|
Module Responsible | Prof. Peter Fröhle | ||||||||||||||||
Admission Requirements | None | ||||||||||||||||
Recommended Previous Knowledge |
Mathematics I, II and III Mechanics I und II |
||||||||||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||||||||||
Professional Competence | |||||||||||||||||
Knowledge |
The students are able to define the basic terms of hydromechanics, hydrology groundwater hydrology and water management. They are able to derive the basic formulations of i) hydrostatics, ii) kinematics of flows and iii) conservation laws and to describe and quantify the relevant processes of the hydrological water cycle. Besides, the students can describe the main aspects of rainfall-run-off-modelling and of established reservoir / storage models as well as the concepts of the determination of a unit-hydrograph. |
||||||||||||||||
Skills |
The students are able to apply the fundamental formulations of hydromechanics to basic practical problems. Furthermore, they are able to run, explain and document basic hydraulic experiments. Besides, they are able to apply basic hydrological approaches and methods to simple hydrological problems. The students have the capability to exemplarily apply simple reservoir/storage models and a unit-hydrograph to given problems. In addition, the basic concepts of field-measurements of hydrological and hydrodynamic values can be described and the students are able to perform, analyze and assess respective measurements. |
||||||||||||||||
Personal Competence | |||||||||||||||||
Social Competence |
The students are able to work in groups in a goal-orientated, structured manner. They can explain their results sustainably in plenary sessions by use of peer learning approaches. Furthermore, they are able to prepare and present technical presentations for given topics in groups. |
||||||||||||||||
Autonomy |
Students are capable of organising their individual work flow to contribute to the conduct of experiments and to present discipline-specific knowledge. They can provide each other with feedback and suggestions on their results. They are capable of reflecting their study techniques and learning strategy on an individual basis. |
||||||||||||||||
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 | ||||||||||||||||
Credit points | 6 | ||||||||||||||||
Course achievement |
|
||||||||||||||||
Examination | Written exam | ||||||||||||||||
Examination duration and scale | 150 minutes | ||||||||||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L0909: Hydrology |
Typ | Lecture |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Peter Fröhle |
Language | DE |
Cycle | WiSe |
Content |
Introduction to basics of hydrology and groundwater hydrology:
|
Literature |
Maniak, U. (2017). Hydrologie und Wasserwirtschaft: Eine Einführung für Ingenieure. Springer Vieweg. Skript "Hydrologie und Gewässerkunde" |
Course L0956: Hydrology |
Typ | Project-/problem-based Learning |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Peter Fröhle |
Language | DE |
Cycle | WiSe |
Content |
Introduction to basics of Hydrology:
|
Literature |
Maniak, Hydrologie und Wasserwirtschaft, Eine Einführung für Ingenieure, Springer Skript Hydrologie und Gewässerkunde |
Course L0615: Hydromechanics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Peter Fröhle |
Language | DE |
Cycle | WiSe |
Content |
Fundamentals of Hydromechanics
|
Literature |
Skript zur Vorlesung Hydromechanik/Hydraulik, Kapitel 1-2 Truckenbrodt, E.: Lehrbuch der angewandten Fluidmechanik, Springer Verlag, Berlin, 1998. Truckenbrodt, E.: Grundlagen und elementare Strömungsvorgänge dichtebeständiger Fluide / Fluidmechanik, Springer Verlag, Berlin, 1996. |
Course L0616: Hydromechanics |
Typ | Project-/problem-based Learning |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Peter Fröhle |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1289: Logistical systems - Industry 4.0 |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Jochen Kreutzfeldt |
Admission Requirements | None |
Recommended Previous Knowledge |
Successful completion of the module „Technical Logistics“ |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
The students will
acquire the following knowledge:
1. The students are able to understand and explain the concept "Logistical System". 2. The students are able to design a logistic system conceptually. 3. The students can develop and implement the control of a logistic system with python. |
Skills |
The students will
acquire the following skills:
1. The students are able to identify logistical systems, analyze and identify potential for change and improvement. 2. The students know different technical solutions to address problems in logistical systems. 3. The students are capable of deploying technical solutions and ideas from the concept Industry 4.0 to deal with logistical problems. |
Personal Competence | |
Social Competence |
The students will
acquire the following social skills:
1. The students are able to develop technical solutions for logistical systems and reflect their contribution within the team. 2. The technical solutions from the group can be jointly documented and presented. 3. Students are able to present their technological solutions to an audience and derived from the critique new ideas and improvements. |
Autonomy |
The students will
acquire the following independent competencies:
1. The students can independently develop technical solutions for logistical problems under supervision. 2. The students are able to evaluate their technical solutions and discuss the pros and cons. 3. The students are able to assess the impact of the concept Industry 4.0 on their own career development. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Lab prototype with documentation (group work) |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1753: Logistics systems - Industry 4.0 |
Typ | Seminar |
Hrs/wk | 4 |
CP | 6 |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Lecturer | Prof. Jochen Kreutzfeldt |
Language | DE |
Cycle | WiSe |
Content |
The lecture gives
an introduction to the concept of logistical systems with a special emphasis on
the subject of Industry 4.0. Here, the system concept in logistics from a
technical point of view is introduced. A logistical system is understood as a
combination of transport, storage and change processes between source and sink
of goods. This lecture will look at the technical aspect of these processes.
Industry is a topic of this lecture. Industry 4.0 is understood as the far-reaching digitization and networking of logistical systems and the connection of logistical objects, processes and systems. The logistics industry expects Industry 4.0 to be a profound change and the realization of large improvement potentials. The lecture provides an in-depth introduction to application cases and business models of Industry 4.0 in logistics from a technical standpoint. A possible framework for Industry 4.0 is presented and several application examples are shown. In the exercises, students learn will learn the exemplary use of different technical solutions and know how, which can be used to improve logistical systems. |
Literature |
Bauernhansl, Thomas et al. (2014): Industrie 4.0
in Produktion, Automatisierung und Logistik. Anwendung, Technologien,
Migration. Wiesbaden: Springer Vieweg.
Hausladen, Iris (2014): IT-gestützte Logistik. Systeme - Prozesse - Anwendungen. 2. Auflage 2014. Wiesbaden: Imprint: Gabler Verlag. Hompel, Michael ten; Büchter, Hubert; Franzke, Ulrich (2008): Identifikationssysteme und Automatisierung. [Intralogistik]. Berlin, Heidelberg: Springer. Kaufmann, Timothy (2015): Geschäftsmodelle in Industrie 4.0 und dem Internet der Dinge. Der Weg vom Anspruch in die Wirklichkeit. Wiesbaden: Springer Fachmedien Wiesbaden. Martin, Heinrich (2014): Transport- und Lagerlogistik. Planung, Struktur, Steuerung und Kosten von Systemen der Intralogistik. 9., Auflage 2014. Wiesbaden: Imprint: Springer Vieweg. Runkler, Thomas A. (2010): Data-Mining. Methoden und Algorithmen intelligenter Datenanalyse. 1. Aufl. Wiesbaden: Vieweg + Teubner (Studium). |
Module M0706: Geotechnics I |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Jürgen Grabe | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Modules :
|
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge | The students know the basics of soil mechanics as the structure and characteristics of soil, stress distribution due to weight, water or structures, consolidation and settlement calculations, as well as failure of the soil due to ground- or slope failure. | ||||||||
Skills |
After the successful completion of the module the students should be able to describe the mechanical properties and to evaluate them with the help of geotechnical standard tests. They can calculate stresses and deformation in the soils due to weight or influence of structures. They are are able to prove the usability (settlements) for shallow foundations. |
||||||||
Personal Competence | |||||||||
Social Competence | |||||||||
Autonomy | |||||||||
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 90 minutes | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Civil Engineering: Compulsory Civil- and Environmental Engineering: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L0550: Soil Mechanics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Jürgen Grabe |
Language | DE |
Cycle | WiSe |
Content |
|
Literature |
|
Course L0551: Soil Mechanics |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Jürgen Grabe |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L1493: Soil Mechanics |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Jürgen Grabe |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0833: Introduction to Control Systems |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | NN |
Admission Requirements | None |
Recommended Previous Knowledge |
Representation of signals and systems in time and frequency domain, Laplace transform |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence | Students can work in small groups to jointly solve technical problems, and experimentally validate their controller designs |
Autonomy |
Students can obtain information from provided sources (lecture notes, software documentation, experiment guides) and use it when solving given problems. They can assess their knowledge in weekly on-line tests and thereby control their learning progress. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Data Science: Core Qualification: Elective Compulsory Data Science: Specialisation II. Application: Elective Compulsory Electrical Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Computer Science in Engineering: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Theoretical Mechanical Engineering: Technical Complementary Course Core Studies: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L0654: Introduction to Control Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Timm Faulwasser |
Language | DE |
Cycle | WiSe |
Content |
Signals and systems
Feedback systems
Root locus techniques
Frequency response techniques
Time delay systems
Digital control
Software tools
|
Literature |
|
Course L0655: Introduction to Control Systems |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Timm Faulwasser |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1070: Simulation of Transport and Handling Systems |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Carlos Jahn | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
Basic knowledge of transport- and handlingtechnology. |
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students can…
|
||||||||
Skills |
Students are able to…
|
||||||||
Personal Competence | |||||||||
Social Competence |
Students are capable of…
|
||||||||
Autonomy |
Students are able…
|
||||||||
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Subject theoretical and practical work | ||||||||
Examination duration and scale | Simulation study and report with approximately 15 pages per person | ||||||||
Assignment for the Following Curricula |
Data Science: Core Qualification: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1352: Simulation of Transport and Handling Systems |
Typ | Lecture |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content |
The lecture deals with the simulation of external logistics systems. The focus is therefore on the consideration of logistical processes between companies or on transhipment systems, such as ports or individual terminals. In the first part of the lecture, students will first acquire basic knowledge of external logistics systems and the advantages of using simulations to present them. Then an overview of existing simulation types and programs is given and examples for existing simulation models of logistic systems in science and practice are shown. Some simulation models will be demonstrated. In the second part of the lecture the students learn the basic handling of the simulation software Plant Simulation®. They receive theoretical explanations of the general functionality of the simulation tool, which are further deepened through the use of extensive, interactive examples. At the same time, five exercises, which build on each other, offer students the opportunity to implement the course content they have learnt alone and in small groups. The exercises can be completed during the supervised lecture periods as well as at other times. The acquired knowledge is to be applied in the third part in the course of group work. The students will be divided into groups, each of which will then work on a relevant problem from the field of (external) logistic systems by means of simulation. The students are given a defined period of time for their work. During this time at least one person is always available for questions and suggestions. The results of the group work are to be documented in a simulation report and handed in at the end of the processing time. Finally, the individual groups present the problems they have worked on and their results in a presentation. |
Literature |
Bangsow, Steffen (2011): Praxishandbuch Plant Simulation und SimTalk. Anwendung und Programmierung in über 150 Beispiel-Modellen. München: Hanser Verlag. Eley, Michael (2012): Simulation in der Logistik. Einführung in die Erstellung ereignisdiskreter Modelle unter Verwendung des Werkzeuges "Plant Simulation". Berlin, Heidelberg: Springer. Engelhardt-Nowitzki, Corinna; Nowitzki, Olaf; Krenn, Barbara (2008): Management komplexer Materialflüsse mittels Simulation. State-of-the-Art und innovative Konzepte. Wiesbaden: Deutscher Universitäts-Verlag / GWV Fachverlage GmbH, Wiesbaden. Rabe, Markus; Spieckermann, Sven; Wenzel, Sigrid (2008): Verifikation und Validierung für die Simulation in Produktion und Logistik. Vorgehensmodelle und Techniken. Berlin, Heidelberg: Springer. Sargent, Robert G. (2010): Verification and Validation of Simulation Models. In: B. Johansson, S. Jain, J. Montoya-Torres, J. Hugan, and E. Yücesan, eds.: Proceedings of the 2010 Winter Simulation Conference. VDI‐Richlinie: VDI 3633. Simulation von Logistik‐, Materialfluß‐und Produktionssystemen Wenzel, Sigrid; Rabe, Markus; Spieckermann, Sven (2006): Verifikation und Validierung für die Simulation in Produktion und Logistik. Vorgehensmodelle und Techniken. 1. Aufl. Berlin: Springer Berlin. |
Course L1818: Simulation of Transport and Handling Systems |
Typ | Recitation Section (small) |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Carlos Jahn |
Language | DE |
Cycle | WiSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0852: Graph Theory and Optimization |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Anusch Taraz |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 120 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Computer Science: Compulsory General Engineering Science (German program, 7 semester): Specialisation Data Science: Elective Compulsory Computer Science: Core Qualification: Compulsory Data Science: Core Qualification: Compulsory Engineering Science: Specialisation Data Science: Elective Compulsory Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Technomathematics: Specialisation I. Mathematics: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L1046: Graph Theory and Optimization |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Anusch Taraz |
Language | DE/EN |
Cycle | SoSe |
Content |
|
Literature |
|
Course L1047: Graph Theory and Optimization |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Anusch Taraz |
Language | DE/EN |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0767: Aeronautical Systems |
||||||||||||||||||||
Courses | ||||||||||||||||||||
|
Module Responsible | Prof. Frank Thielecke |
Admission Requirements | None |
Recommended Previous Knowledge | Basics of mathematics, mechanics and thermodynamics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | Students get a basic understanding of the structure and design of an aircraft, as well as an overview of the systems inside an aircraft. In addition, a basic knowledge of the relationchips, the key parameters, roles and ways of working in different subsystems in the air transport is acquired. |
Skills | Due to the learned cross-system thinking students can gain a deeper understanding of different system concepts and their technical system implementation. In addition, they can apply the learned methods for the design and assessment of subsystems of the air transportation system in the context of the overall system. |
Personal Competence | |
Social Competence | Students are made aware of interdisciplinary communication in groups. |
Autonomy | Students are able to independently analyze different system concepts and their technical implementation as well as to think system oriented. |
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 150 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Aircraft Systems Engineering: Compulsory Data Science: Specialisation II. Application: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Mechanical Engineering: Specialisation Aircraft Systems Engineering: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L0741: Fundamentals of Aircraft Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Frank Thielecke |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0742: Fundamentals of Aircraft Systems |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Frank Thielecke |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0591: Air Transportation Systems |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Volker Gollnick |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0816: Air Transportation Systems |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Volker Gollnick |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0536: Fundamentals of Fluid Mechanics |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Michael Schlüter | ||||||||
Admission Requirements | None | ||||||||
Recommended Previous Knowledge |
|
||||||||
Educational Objectives | After taking part successfully, students have reached the following learning results | ||||||||
Professional Competence | |||||||||
Knowledge |
Students are able to:
|
||||||||
Skills |
The students are able to
|
||||||||
Personal Competence | |||||||||
Social Competence |
The students
|
||||||||
Autonomy |
The students are able to
|
||||||||
Workload in Hours | Independent Study Time 96, Study Time in Lecture 84 | ||||||||
Credit points | 6 | ||||||||
Course achievement |
|
||||||||
Examination | Written exam | ||||||||
Examination duration and scale | 3 hours | ||||||||
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Green Technologies: Compulsory General Engineering Science (German program, 7 semester): Specialisation Chemical and Bioengineering: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L0091: Fundamentals of Fluid Mechanics |
Typ | Lecture |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Michael Schlüter |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L2933: Fundamentals on Fluid Mechanics |
Typ | Recitation Section (small) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Michael Schlüter |
Language | DE |
Cycle | SoSe |
Content |
In the group exercise, the contents of the lecture are taken up and deepened by means of exercises. The exercise tasks correspond in quality and scope to the tasks of the written exam. Topics: Reynolds transport-theorem, pipe flow, free jet, angular momentum, Navier-Stokes equations, potential theory, mock exam, pipe hydraulics, pump design. |
Literature |
Heinz Herwig: Strömungsmechanik, Eine Einführung in die Physik und die mathematische Modellierung von Strömungen, Springer Verlag, Berlin, 978-3-540-32441-6 (ISBN) Herbert Oertel, Martin Böhle, Thomas Reviol: Strömungsmechanik für Ingenieure und Naturwissenschaftler, Springer Verlag, Berlin, ISBN: 978-3-658-07786-0 Joseph Spurk, Nuri Aksel: Strömungslehre, Einführung in die Theorie der Strömungen, Springer Verlag, Berlin, ISBN: 978-3-642-13143-1. |
Course L0092: Fluid Mechanics for Process Engineering |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Michael Schlüter |
Language | DE |
Cycle | SoSe |
Content |
In the exercise-lecture the topics from the main lecture are discussed intensively and transferred into application. For that, the students receive example tasks for download. The students solve these problems based on the lecture material either independently or in small groups. The solution is discussed with the students under scientific supervision and parts of the solutions are presented on the chalk board. At the end of each exercise-lecture, the correct solution is presented on the chalk board. Parallel to the exercise-lecture tutorials are held where the student solve exam questions under a set time-frame in small groups and discuss the solutions afterwards.
|
Literature |
|
Module M1633: Planning Law and Environmental Law/ Sustainable Urban Development |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Ralf Otterpohl |
Admission Requirements | None |
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge | |
Skills | |
Personal Competence | |
Social Competence | |
Autonomy | |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | Written-theoretical part and report |
Assignment for the Following Curricula |
Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L2474: Sustainable Urban Development |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Irene Peters |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Course L2473: Planning law and Environmental law |
Typ | Lecture |
Hrs/wk | 2 |
CP | 3 |
Workload in Hours | Independent Study Time 62, Study Time in Lecture 28 |
Lecturer | Prof. Martin Wickel |
Language | DE |
Cycle | SoSe |
Content | |
Literature |
Module M0610: Electrical Machines and Actuators |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Thorsten Kern |
Admission Requirements | None |
Recommended Previous Knowledge |
Basics of mathematics, in particular complexe numbers, integrals, differentials Basics of electrical engineering and mechanical engineering |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can to draw and explain the basic principles of electric and magnetic fields. They can describe the function of the standard types of electric machines and present the corresponding equations and characteristic curves. For typically used drives they can explain the major parameters of the energy efficiency of the whole system from the power grid to the driven engine. |
Skills |
Students are able to calculate two-dimensional electric and magnetic fields in particular ferromagnetic circuits with air gap. For this they apply the usual methods of the design auf electric machines. They can calulate the operational performance of electric machines from their given characteristic data and selected quantities and characteristic curves. They apply the usual equivalent circuits and graphical methods. |
Personal Competence | |
Social Competence | none |
Autonomy |
Students are able independently to calculate electric and magnatic fields for applications. They are able to analyse independently the operational performance of electric machines from the charactersitic data and theycan calculate thereof selected quantities and characteristic curves. |
Workload in Hours | Independent Study Time 110, Study Time in Lecture 70 |
Credit points | 6 |
Course achievement | None |
Examination | Subject theoretical and practical work |
Examination duration and scale | Design of four machines and actuators, review of design files |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Energy Systems: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Mechatronics: Compulsory General Engineering Science (German program, 7 semester): Specialisation Mechanical Engineering, Focus Theoretical Mechanical Engineering: Elective Compulsory General Engineering Science (German program, 7 semester): Specialisation Electrical Engineering: Elective Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Electrical Engineering: Core Qualification: Elective Compulsory Engineering Science: Specialisation Electrical Engineering: Elective Compulsory Engineering Science: Specialisation Electrical Engineering: Elective Compulsory Green Technologies: Energy, Water, Climate: Specialisation Energy Technology: Elective Compulsory Green Technologies: Energy, Water, Climate: Specialisation Maritime Technologies: Elective Compulsory Computer Science in Engineering: Specialisation II. Mathematics & Engineering Science: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Mechanical Engineering: Core Qualification: Elective Compulsory Mechatronics: Specialisation Naval Engineering: Compulsory Mechatronics: Core Qualification: Compulsory Mechatronics: Specialisation Robot- and Machine-Systems: Compulsory Mechatronics: Specialisation Electrical Systems: Elective Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L0293: Electrical Machines and Actuators |
Typ | Lecture |
Hrs/wk | 3 |
CP | 4 |
Workload in Hours | Independent Study Time 78, Study Time in Lecture 42 |
Lecturer | Prof. Thorsten Kern, Dennis Kähler |
Language | DE |
Cycle | SoSe |
Content |
Electric field: Coulomb´s law, flux (field) line, work, potential, capacitor, energy, force, capacitive actuators Magnetic field: force, flux line, Ampere´s law, field at bounderies, flux, magnetic circuit, hysteresis, induction, self-induction, mutual inductance, transformer, electromagnetic actuators Synchronous machines, construction and layout, equivalent single line diagrams, no-load and short-cuircuit characteristics, vector diagrams, motor and generator operation, stepper motors DC-Machines: Construction and layout, torque generation mechanismen, torque vs speed characteristics, commutation, Asynchronous Machines. Magnetic field, construction and layout, equivalent single line diagram, complex stator current diagram (Heylands´diagram), torque vs. speed characteristics, rotor layout (squirrel-cage vs. sliprings), Drives with variable speed, inverter fed operation, special drives |
Literature |
Hermann Linse, Roland Fischer: "Elektrotechnik für Maschinenbauer", Vieweg-Verlag; Signatur der Bibliothek der TUHH: ETB 313 Ralf Kories, Heinz Schmitt-Walter: "Taschenbuch der Elektrotechnik"; Verlag Harri Deutsch; Signatur der Bibliothek der TUHH: ETB 122 "Grundlagen der Elektrotechnik" - anderer Autoren Fachbücher "Elektrische Maschinen" |
Course L0294: Electrical Machines and Actuators |
Typ | Recitation Section (large) |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Thorsten Kern, Dennis Kähler |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M1014: Logistics Service Provider Management |
||||||||
Courses | ||||||||
|
Module Responsible | Prof. Heike Flämig |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to...
|
Skills |
Students can...
|
Personal Competence | |
Social Competence |
Students can...
|
Autonomy |
Students can...
|
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | 2 scientific written papers of approx. 20 pages each. Presentation (approx. 15 pages) with 20-minute closing lecture in groups of 3 to max. 5 persons. Grading of 4 partial grades of 25% each (2 seminar papers, 2 presentation documents) individually per group member. |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory |
Course L1240: Logistics Service Provider Management |
Typ | Seminar |
Hrs/wk | 3 |
CP | 6 |
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Lecturer | Prof. Stephan Freichel |
Language | DE |
Cycle | SoSe |
Content |
1 Concept and Functions Define the role of logistics services providers in the overall concept and functions of logistics services providers. Workshop on the role of logistics services providers in the economy, based on up-to-date topics in the field and in the news. 2 Outsourcing and Cooperation Make or buy, forms and management of inter-organizational relations 3 Institutions Special business management features of carriers, haulage contractors, CEP services 4 Trends, Strategies and Management Functions Market trends, requirements, basic business management and management functions (operations, business development, HR, IT, finance/planning and control, organization, leadership) 5 Strategic Developments and Case Studies Selected aspects (e.g. risk and innovation management, global and regional networking, greenwashing and sustainability) Examples: Case Study A) Types of company (such as haulage contractors, railway operators, road transport companies, heavy goods, textile and refrigerated goods specialists, CEPs, etc) will be introduced and discussed in the context of a presentation. Case Study B) Individual companies will be analyzed on the basis of accessible material such as company reports, websites and possibly telephone interviews and case studies will be explained and discussed with regard to the functions of the logistics services provider and the management task of the corporate managements of the selected cases. |
Literature |
Pfohl, H.-Chr.: Logistiksysteme. Betriebswirtschaftliche Grundlagen. Eßig, M. / Hofmann, E. / Stölzle, W.: Supply Chain Management. München 2013. Freichel, S.L.K.: Organisation von Logistikservice-Netzwerken. Reihe: Logistik und Unternehmensführung, hrsg. von Prof. Dr. H.-Chr. Pfohl, Bd. 4. Berlin 1993. Aberle, G.: Transportwirtschaft. Einzelwirtschaftliche und gesamtwirtschaftliche Grundlagen, 4. überarbeitete und erweiterte Auflage, München/Wien 2006. Buchholz, J./Clausen, U./Vastag, A. (Hrsg): Handbuch der Verkehrslogistik, Heidelberg 1998. Corsten, H.: Dienstleistungsmanagement, 3. Auflage, München 1997. Müller-Daupert, B. (Hrsg.): Logistik-Outsourcing, 2. Auflage, München, Vogel, 2009 Ihde, G. B.: Transport, Verkehr, Logistik. Gesamtwirtschaftliche Aspekte und einzelwirtschaftliche Handhabung, 3. völlig überarb. und erw. Auflage, München 2001. van Suntum, U.: Verkehrspolitik, München 1986. |
Module M0985: Introduction to Railways |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Carsten Gertz |
Admission Requirements | None |
Recommended Previous Knowledge | none |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students can...
|
Skills | -- |
Personal Competence | |
Social Competence |
Students can...
|
Autonomy |
Students can work out and understand contents themselves during the lecture through literature research |
Workload in Hours | Independent Study Time 138, Study Time in Lecture 42 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
Civil- and Environmental Engineering: Specialisation Traffic and Mobility: Compulsory Civil- and Environmental Engineering: Specialisation Civil Engineering: Elective Compulsory Civil- and Environmental Engineering: Specialisation Water and Environment: Elective Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L1184: Introduction to Railways |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | André Schoppe |
Language | DE |
Cycle | SoSe |
Content |
Lecture: The module provides a basic knowledge of the field of railroad engineering. An overview of railroad operations, control and safety technology, railroad superstructure, structural engineering, project management as well as maintenance and design of infrastructure facilities is given. The aim of this module is to give students as much insight as possible into railroad infrastructure. The module is examined by means of a written exam at the end of the semester. Lecture Hall Exercise: In order to give the students practical examples, full-day practical excursions are carried out. New handling techniques and currently available hardware will be presented by visiting the marshalling yard "die Zugbildungsanlage Maschen (ZBA)". Furthermore, the training center for track construction and civil engineering as well as the operations center in Hanover will be visited, where facilities and tasks will be presented. Questionnaires will also be provided for practice purposes. In addition, study papers can be handed out and supervised as required. |
Literature |
Die maßgebliche Literatur wird in StudIP veröffentlicht. Weitere Hinweise werden in der Veranstaltung gegeben. |
Course L1185: Introduction to Railways |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 2 |
Workload in Hours | Independent Study Time 46, Study Time in Lecture 14 |
Lecturer | André Schoppe |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Module M0980: Logistics, Transport and Environment |
||||||||||||
Courses | ||||||||||||
|
Module Responsible | Prof. Heike Flämig |
Admission Requirements | None |
Recommended Previous Knowledge |
|
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are able to...
|
Skills |
Students are able to...
|
Personal Competence | |
Social Competence |
Students can...
|
Autonomy |
Students can...
|
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written elaboration |
Examination duration and scale | Written assignment with short presentation |
Assignment for the Following Curricula |
Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Logistics and Mobility: Specialisation Information Technology: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Production Management and Processes: Elective Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Information Technology: Elective Compulsory |
Course L0009: Logistics, Transport and Environment |
Typ | Project-/problem-based Learning |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Heike Flämig |
Language | DE |
Cycle | SoSe |
Content |
Application and creative development of professional knowledge within the framework of the case study "Environmental impacts of supply chains" using a specific company as example. Depending on the chosen focus of the academic year:
|
Literature |
Ihde, Gösta B.: Transport, Verkehr, Logistik. Gesamtwirtschaftliche Aspekte und einzelwirtschaftliche Handhabung. 3. überarbeitete Auflage. Vahlen, München 2001 |
Course L1160: Environmental Management and Corporate Responsibilty |
Typ | Seminar |
Hrs/wk | 2 |
CP | 2 |
Workload in Hours | Independent Study Time 32, Study Time in Lecture 28 |
Lecturer | Prof. Heike Flämig |
Language | DE |
Cycle | SoSe |
Content |
|
Literature | -- |
Module M0671: Technical Thermodynamics I |
||||||||||||||||
Courses | ||||||||||||||||
|
Module Responsible | Prof. Arne Speerforck |
Admission Requirements | None |
Recommended Previous Knowledge | Elementary knowledge in Mathematics and Mechanics |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
Students are familiar with the laws of Thermodynamics. They know the relation of the kinds of energy according to 1st law of Thermodynamics and are aware about the limits of energy conversions according to 2nd law of Thermodynamics. They are able to distinguish between state variables and process variables and know the meaning of different state variables like temperature, enthalpy, entropy and also the meaning of exergy and anergy. They are able to draw the Carnot cycle in a Thermodynamics related diagram. They know the physical difference between an ideal and a real gas and are able to use the related equations of state. They know the meaning of a fundamental state of equation and know the basics of two phase Thermodynamics. |
Skills |
Students are able to calculate the internal energy, the enthalpy, the kinetic and the potential energy as well as work and heat for simple change of states and to use this calculations for the Carnot cycle. They are able to calculate state variables for an ideal and for a real gas from measured thermal state variables. |
Personal Competence | |
Social Competence |
The students can discuss in small groups and work out a solution. You can answer comprehension questions about the content that are provided in the lecture with the ClickerOnline tool "TurningPoint" after discussions with other students. |
Autonomy |
Students can understand the problems posed in tasks physically. They are able to select the methods taught in the lecture and exercise to solve problems and apply them independently to different types of tasks. |
Workload in Hours | Independent Study Time 124, Study Time in Lecture 56 |
Credit points | 6 |
Course achievement | None |
Examination | Written exam |
Examination duration and scale | 90 min |
Assignment for the Following Curricula |
General Engineering Science (German program, 7 semester): Core Qualification: Compulsory Bioprocess Engineering: Core Qualification: Compulsory Chemical and Bioprocess Engineering: Core Qualification: Compulsory Digital Mechanical Engineering: Core Qualification: Compulsory Engineering Science: Specialisation Mechanical Engineering: Compulsory Engineering Science: Specialisation Mechatronics: Elective Compulsory Engineering Science: Specialisation Biomedical Engineering: Compulsory Engineering Science: Specialisation Advanced Materials: Elective Compulsory Green Technologies: Energy, Water, Climate: Core Qualification: Compulsory Integrated Building Technology: Core Qualification: Compulsory Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory Mechanical Engineering: Core Qualification: Compulsory Mechatronics: Core Qualification: Compulsory Mechatronics: Core Qualification: Elective Compulsory Orientation Studies: Core Qualification: Elective Compulsory Naval Architecture: Core Qualification: Compulsory Technomathematics: Specialisation III. Engineering Science: Elective Compulsory Process Engineering: Core Qualification: Compulsory Engineering and Management - Major in Logistics and Mobility: Specialisation Traffic Planning and Systems: Elective Compulsory |
Course L0437: Technical Thermodynamics I |
Typ | Lecture |
Hrs/wk | 2 |
CP | 4 |
Workload in Hours | Independent Study Time 92, Study Time in Lecture 28 |
Lecturer | Prof. Arne Speerforck |
Language | DE |
Cycle | SoSe |
Content |
|
Literature |
|
Course L0439: Technical Thermodynamics I |
Typ | Recitation Section (large) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Arne Speerforck |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Course L0441: Technical Thermodynamics I |
Typ | Recitation Section (small) |
Hrs/wk | 1 |
CP | 1 |
Workload in Hours | Independent Study Time 16, Study Time in Lecture 14 |
Lecturer | Prof. Arne Speerforck |
Language | DE |
Cycle | SoSe |
Content | See interlocking course |
Literature | See interlocking course |
Thesis
Module M-001: Bachelor Thesis |
||||
Courses | ||||
|
Module Responsible | Professoren der TUHH |
Admission Requirements |
|
Recommended Previous Knowledge | |
Educational Objectives | After taking part successfully, students have reached the following learning results |
Professional Competence | |
Knowledge |
|
Skills |
|
Personal Competence | |
Social Competence |
|
Autonomy |
|
Workload in Hours | Independent Study Time 360, Study Time in Lecture 0 |
Credit points | 12 |
Course achievement | None |
Examination | Thesis |
Examination duration and scale | According to General Regulations |
Assignment for the Following Curricula |
General Engineering Science (German program): Thesis: Compulsory General Engineering Science (German program, 7 semester): Thesis: Compulsory Civil- and Environmental Engineering: Thesis: Compulsory Bioprocess Engineering: Thesis: Compulsory Chemical and Bioprocess Engineering: Thesis: Compulsory Computer Science: Thesis: Compulsory Data Science: Thesis: Compulsory Digital Mechanical Engineering: Thesis: Compulsory Electrical Engineering: Thesis: Compulsory Engineering Science: Thesis: Compulsory General Engineering Science (English program): Thesis: Compulsory General Engineering Science (English program, 7 semester): Thesis: Compulsory Green Technologies: Energy, Water, Climate: Thesis: Compulsory Computer Science in Engineering: Thesis: Compulsory Integrated Building Technology: Thesis: Compulsory Logistics and Mobility: Thesis: Compulsory Mechanical Engineering: Thesis: Compulsory Mechatronics: Thesis: Compulsory Naval Architecture: Thesis: Compulsory Technomathematics: Thesis: Compulsory Teilstudiengang Lehramt Metalltechnik: Thesis: Compulsory Process Engineering: Thesis: Compulsory Engineering and Management - Major in Logistics and Mobility: Thesis: Compulsory |