Sample course plan H Bachelor Data Science (DSBS)
Specialisation I. Mathematics/Computer Science, Specialisation II. Application
Legend: |
Core Qualification Compulsory | Specialisation Compulsory | Focus Compulsory | Thesis Compulsory |
Core Qualification Elective Compulsory | Specialisation Elective Compulsory | Focus Elective Compulsory | Interdisciplinary complement |
LP | | | | | | |
1 | | | | |
Discrete Algebraic Structures | Discrete Algebraic Structures | VL | 2 | Discrete Algebraic Structures | GÜ | 2 |
| | | | |
Automata Theory and Formal Languages | Automata Theory and Formal Languages | VL | 2 | Automata Theory and Formal Languages | GÜ | 2 |
| | | | |
Databases | Databases | VL | 3 | Databases - Exercise | GÜ | 2 |
| | | | |
Signals and Systems | Signals and Systems | VL | 3 | Signals and Systems | GÜ | 2 |
| | | | |
Introduction to Information Security | Introduction to Information Security | VL | 2 | Introduction to Information Security | GÜ | 2 |
| | | | |
Ethics in Information Technology | Ethics in Information Technology | VL | 2 | Ethics in Information Technology | SE | 2 |
|
2 |
3 |
4 |
5 |
6 |
7 | | | | |
Procedural Programming for Computer Engineers | Procedural Programming for Computer Engineers | VL | 2 | Procedural Programming for Computer Engineers | HÜ | 1 | Procedural Programming for Computer Engineers | PR | 2 |
| | | | |
Stochastics | Stochastics | VL | 2 | Stochastics | GÜ | 2 |
| | | | |
Numerical Mathematics I | Numerical Mathematics I | VL | 2 | Numerical Mathematics I | GÜ | 2 |
| | | | |
Graph Theory and Optimization | Graph Theory and Optimization | VL | 2 | Graph Theory and Optimization | GÜ | 2 |
| | | | |
Data Mining | Data Mining | VL | 2 | Data Mining | PBL | 2 |
| | | | |
Computability and Complexity Theory | Computability and Complexity Theory | VL | 2 | Computability and Complexity Theory | GÜ | 2 |
|
8 |
9 |
10 |
11 |
12 |
13 | | | | |
Mathematics I (EN) | Mathematics I | VL | 4 | Mathematics I | HÜ | 2 | Mathematics I | GÜ | 2 |
| | | | |
Foundations of Management | Introduction to Management | VL | 3 | Management Tutorial | GÜ | 2 |
| | | | |
Algorithms and Data Structures | Algorithms and Data Structures | VL | 4 | Algorithms and Data Structures | GÜ | 1 |
| | | | |
Seminars Computer Science | Introductory Seminar Computer Science II | SE | 2 | Introductory Seminar Computer Science I | SE | 2 |
| | | | |
Machine Learning II | Machine Learning II | VL | 2 | Machine Learning II | GÜ | 3 |
| |
14 |
15 |
16 |
17 |
18 |
19 | | | | |
Programming Paradigms | Programming Paradigms | VL | 2 | Programming Paradigms | HÜ | 1 | Programming Paradigms | PR | 2 |
| | | | |
Statistics | Statistics | VL | 3 | Statistics | GÜ | 1 |
| | | | |
Scientific Programming | Scientific Programming | VL | 3 | Scientific Programming | GÜ | 2 |
| | | | |
Functional Programming | Functional Programming | VL | 2 | Functional Programming | HÜ | 2 | Functional Programming | GÜ | 2 |
|
20 |
21 | | | | |
Introduction to Data Science | Introduction to Data Science | VL | 2 | Introduction to Data Science | SE | 1 |
|
22 |
23 |
24 |
25 | | | | |
Mathematics II (EN) | Mathematics II | VL | 4 | Mathematics II | HÜ | 2 | Mathematics II | GÜ | 2 |
| | | | |
Mathematics III (EN) | Analysis III | VL | 2 | Analysis III | HÜ | 1 | Analysis III | GÜ | 1 | Differential Equations 1 | VL | 2 | Differential Equations 1 | HÜ | 1 | Differential Equations 1 | GÜ | 1 |
| | | | |
Machine Learning I | Machine Learning I | VL | 2 | Machine Learning I | GÜ | 3 |
| | | | |
Engineering Mechanics I (Stereostatics) | Engineering Mechanics I | VL | 2 | Engineering Mechanics I | GÜ | 2 | Engineering Mechanics I | HÜ | 1 |
| |
26 | |
27 | | |
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.