CURRENT COURSES
| Term | Type | Title | Workload |
|---|---|---|---|
| SS19 | Lecture | Blockchain – Technology and Applications | 4 SWS, 6 ECTS |
| Lecture | Information Retrieval | 4 SWS, 6 ECTS | |
| Seminar | Selected Topics in Data Science | 2 SWS, 3 ECTS | |
| WS18 | Lecture | Introduction to Computer Science for Non-Computer Science Majors | 4 SWS, 6 ECTS |
| Lecture | Key Competences in Computer Science | 4 SWS, 9 ECTS | |
| Seminar | Selected Topics in Media Informatics | 2 SWS, 3 ECTS | |
Assignment of Courses to Degree Programs
The table shows the degree programs and course areas for which the credits from our courses can be used.
(Click on the table to enlarge it or click here to download the table as a PDF.)
References to DKE courses in study regulations:
Information Technology, BSc
Information Technology, MSc
Industrial Engineering, BSc Electrical Engineering
Industrial Engineering, MSc Automotive
Industrial Engineering, MSc Energy Management
Industrial Engineering, MSc Information Technology
[SS19] Blockchain – Technology and Applications
By completing the course, students will get to know the fundamental principles of blockchain technology as well as different blockchains and blockchain-backed applications. The participants will be enabled to critically evaluate the strengths and weaknesses of blockchain-backed solutions and to prototypically implement a blockchain-backed approach to support a specific task.
Workload: 4 SWS (2 Lecture / 2 Exercise), 6 ECTS
| Day | Time | Periodicity | Duration | Room | Type |
|---|---|---|---|---|---|
| Thu. | 12:15 - 13:45 | weekly | 11.04.2019 - 11.07.2019 | FC E.10 (00.10) | lecture |
| Thu. | 14:00 - 15:30 | weekly | 11.04.2019 - 11.07.2019 | FC E.10 (00.10) | exercise |
[SS19] Information Retrieval
By completing the course, students will get to know the importangt information retrieval tasks, e.g. ,Web search and recommendation. The participants will understand the conceptual requirements of specific retrieval tasks and be able to devise retrieval approaches consisting of suitable data structures and algorithms to address these tasks. The participants will be able to evaluate the strengths and weaknesses of retrieval approaches and to implement suitable retrieval approaches to solve complex practical information retrieval problems.
Workload: 4 SWS (2 Lecture / 2 Exercise), 6 ECTS
| Day | Time | Periodicity | Duration | Room | Type |
|---|---|---|---|---|---|
| Tue. | 12:15- 13:45 NEW TIME |
weekly | 09.04.2019 - 09.07.2019 | FC E.10 (00.10) | lecture |
| Tue. | 14:00 - 15:30 | weekly | 09.04.2019 - 09.07.2019 | FC E.10 (00.10) | exercise |
[SS19] Selected Topics in Data Science
Seminar participants will explore current research trends and established approaches in the Data Science and the Information Science fields. Participants can choose to complete either a theoretical or a practical research project.
Workload: 2 SWS, 3 ECTS
| Day | Time | Periodicity | Duration | Room | Type |
|---|---|---|---|---|---|
| Wed. | 12:15 - 13:45 | weekly | 10.04.2019 - 10.07.2019 | FC E.10 (00.10) | seminar |
[WS18] Introduction to Computing for Non-Computer Science Majors
Course participants will gain an overview of basic data structures and algorithms to solve problems in computer science and become familiar with the Python programming language.
Workload: 4 SWS (2 Lecture / 2 Exercise), 6 ECTS
more info
| Day | Time | Periodicity | Duration | Room | Type |
|---|---|---|---|---|---|
| Fri. | 10:00 - 12:00 | weekly | 12.10.2018 - 01.03.2019 | FC E.10 (00.10) | lecture |
| Fri. | 14:00 - 16:00 | weekly | 12.10.2018 - 01.03.2019 | FC E.10 (00.10) | exercise |
[WS18] Key Competences in Computer Science
Course participants will gain an overview of the state-of-the-art technologies and tools in computer science. They will become familiar with scripting (Python, Shell), Web technologies (HTML, JavaScript) and essential tools for computer scientists (IDEs, code frameworks, LaTeX, reference managers, etc.). Through practical work on projects, students will get deeper into selected topics and technologies and acquire practical skills necessary to solve various real-world problems in computer science.
Workload: 4 SWS (2 Lecture / 2 Exercise), 9 ECTS
more info
| Day | Time | Periodicity | Duration | Room | Type |
|---|---|---|---|---|---|
| Mon. | 08:00 - 10:00 | weekly | from 15.10.2018 | Hörsaal FZH 3 | lecture |
| Mon. | 10:00 - 12:00 | weekly | from 15.10.2018 | Hörsaal FZH 3 | exercise |
[WS18] Seminar Selected Topics in Media Informatics
Seminar participants will explore current research trends and established approaches in the broad field of Media Informatics. Topics covered on the seminar include, but are not limited to the areas of:
- Data & Information Science Applications
- Blockchain Applications & Cryptocurrencies
- Natural Language Processing & Information Retrieval
- Multimedia Retrieval
- Web-based Application Development
- Information Extraction
Workload: 2 SWS, 3 ECTS
more info
| Day | Time | Periodicity | Duration | Room | Type |
|---|---|---|---|---|---|
| Wed. | 14:00 - 16:00 | weekly | from 17.10.2018 | FC E.01 (00.01) | seminar |