Course of Study Data Science (Study Cohort w20)

Sample course plan A  Bachelor Data Science (DSBS)
Specialisation Mechanics
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 StructuresUE2
Automata Theory and Formal Languages
Automata Theory and Formal LanguagesVL2
Automata Theory and Formal LanguagesUE2
Databases
DatabasesVL4
DatabasesPBL1
Signals and Systems
Signals and SystemsVL3
Signals and SystemsUE2
Introduction to Information Security
Introduction to Information SecurityVL3
Introduction to Information SecurityUE2
Seminars Data Science
Seminar Data Science ISE2
Seminar Data Science IISE2
2
3
4
5
6
7
Procedural Programming
Procedural ProgrammingVL1
Procedural Programming1
Procedural ProgrammingPR2
Stochastics
StochasticsVL2
StochasticsUE2
Numerical Mathematics I
Numerical Mathematics IVL2
Numerical Mathematics IUE2
Foundations of Management
Introduction to ManagementVL3
Management TutorialUE2
Data Mining
Data MiningVL2
Data MiningUE2
Bachelor Thesis
8
9
10
11
12
13
Linear Algebra
Linear AlgebraVL4
Linear Algebra2
Linear AlgebraUE2
Mathematical Analysis
Mathematical AnalysisVL4
Mathematical Analysis2
Mathematical AnalysisUE2
Mathematics III
Analysis IIIVL2
Analysis IIIUE1
Analysis III1
Differential Equations 1 VL2
Differential Equations 1 UE1
Differential Equations 1 1
Graph Theory and Optimization
Graph Theory and OptimizationVL2
Graph Theory and OptimizationUE2
Practical Course Data Science
Practical Course Data SciencePR8
14
15
16
17
18
19
Scientific Programming
Scientific ProgrammingVL3
Scientific ProgrammingUE2
Ethics in Information Technology
Ethics in Information TechnologyVL2
Ethics in Information TechnologySE2
20
21
Mechanics I (Statics)
Mechanics I VL2
Mechanics I UE2
Mechanics I 1
Programming Paradigms
Programming ParadigmsVL2
Programming Paradigms1
Programming ParadigmsPR2
Algorithms and Data Structures
Algorithms and Data StructuresVL4
Algorithms and Data StructuresUE1
22
23
24
25
Machine Learning
Machine LearningVL2
Machine LearningUE2
Functional Programming
Functional ProgrammingVL2
Functional Programming2
Functional ProgrammingUE2
26
27
Mechanics II: Mechanics of Materials
Mechanics IIVL2
Mechanics IIUE2
Mechanics II2
Advanced Stochastics
Advanced StochasticsVL2
Advanced StochasticsUE2
28
29
30
31
Mechanics III (Dynamics)
Mechanics III VL3
Mechanics III UE2
Mechanics III 1
32
33
34
35
36
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.