Course of Study Data Science (Study Cohort w21)

Sample course plan E  Bachelor Data Science (DSBS)
Specialisation Logistics
Legend:
Core qualification CompulsorySpecialisation CompulsoryFocus CompulsoryThesis Compulsory
Core qualification Elective CompulsorySpecialisation Elective CompulsoryFocus Elective CompulsoryInterdisciplinary complement
LP
Semester 1FormHrs/wk
Semester 2FormHrs/wk
Semester 3FormHrs/wk
Semester 4FormHrs/wk
Semester 5FormHrs/wk
Semester 6FormHrs/wk
1
Discrete Algebraic Structures
Discrete Algebraic StructuresVL2
Discrete Algebraic Structures2
Automata Theory and Formal Languages
Automata Theory and Formal LanguagesVL2
Automata Theory and Formal Languages2
Databases
DatabasesVL4
DatabasesPBL1
Signals and Systems
Signals and SystemsVL3
Signals and Systems2
Introduction to Information Security
Introduction to Information SecurityVL2
Introduction to Information Security2
Seminars Data Science
Seminar Data Science ISE2
Seminar Data Science IISE2
2
3
4
5
6
7
Procedural Programming for Computer Engineers
Procedural Programming for Computer EngineersVL1
Procedular Programming for Computer Engineers1
Procedural Programming for Computer EngineersPR2
Stochastics
StochasticsVL2
Stochastics2
Numerical Mathematics I
Numerical Mathematics IVL2
Numerical Mathematics I2
Foundations of Management
Introduction to ManagementVL3
Management Tutorial2
Data Mining
Data MiningVL2
Data Mining2
Semiconductor Circuit Design
Semiconductor Circuit DesignVL3
Semiconductor Circuit Design1
8
9
10
11
12
13
Mathematics I (EN)
Analysis I VL2
Analysis I 1
Analysis I 1
Linear Algebra I VL2
Linear Algebra I 1
Linear Algebra I 1
Programming Paradigms
Programming ParadigmsVL2
Programming Paradigms1
Programming ParadigmsPR2
Algorithms and Data Structures
Algorithms and Data StructuresVL4
Algorithms and Data Structures1
Graph Theory and Optimization
Graph Theory and OptimizationVL2
Graph Theory and Optimization2
Practical Course Data Science
Practical Course Data SciencePR8
Bachelor Thesis
14
15
16
17
18
19
Mathematics II (EN)
Analysis II VL2
Analysis II 1
Analysis II 1
Linear Algebra II VL2
Linear Algebra II 1
Linear Algebra II 1
Statistics
StatisticsVL3
Statistics1
Scientific Programming
Scientific ProgrammingVL3
Scientific Programming2
Ethics in Information Technology
Ethics in Information TechnologyVL2
Ethics in Information TechnologySE2
20
21
Traffic systems and handling technology
Transport- and Handling-TechnologyVL2
Transport- and Handling-Technology2
22
23
24
25
Mathematics III (EN)
Analysis III VL2
Analysis III 1
Analysis III 1
Differential Equations 1 VL2
Differential Equations 1 1
Differential Equations 1 1
Machine Learning
Machine LearningVL2
Machine Learning2
Computer Engineering
Computer EngineeringVL3
Computer Engineering1
26
27
Logistics Management
Logistics EconomicsPBL3
Introduction into Production LogisticsVL2
28
29
30
31
32
Non-technical Courses for Bachelors (from catalogue) - 6LP

The choice of courses from the catalogue is flexible (depends on the semestral work load), provided the necessary number of required credits is reached.