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Term Type Title Workload
SS20 Lecture Key Competences in Computer Science 4 SWS, 9 ECTS
Lecture Information Retrieval 4 SWS, 6 ECTS
Seminar Selected Topics in Data Science 2 SWS, 3 ECTS
Seminar Editionswissenschaftliches Kolloquium 2 SWS, 3 ECTS
Earlier WS19 SS19 WS18

!!! The courses in the Summer Semester 2020 will be given as video conferences !!!

To receive the details of the video conference, please register for the courses in Moodle prior to the first session!

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.) 

[SS20] Key Competences in Computer Science

Course participants will receive a comprehensive introduction into the essentials of conducting research in computer science and into state-of-the-art development frameworks (e.g. backend, frontend, continuous integration, deployment) and tools.  

The course consists of two major parts:

Part A covers the fundamentals of conducting research in computer science, such as academic literature research and literature management, academic writing, designing and performing experiments, handling data and ensuring reproducibility.

Part B introduces state-of-the-art development frameworks and tools for, e.g., scripting (Python, Shell), Web technologies (HTML, JavaScript, D3), testing and continuous integration (unit tests, Travis). 

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     Moodle Course

Day Time Periodicity Duration Room Type
Thu. 12:15 - 13:45 weekly 23.04.2020 - 16.07.2020 FC E.10 (00.10) lecture
Thu. 14:15 - 15:45 weekly 30.04.2020 - 16.07.2020 FC E.10 (00.10) tutorial

[SS20] Information Retrieval

By completing the course, students will get to know the important 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

More Info   Moodle Course

Day Time Periodicity Duration Room Type
Wed. 12:15 - 13:45 weekly 22.04.2020 - 15.07.2020 FC E.10 (00.10) lecture
Wed. 10:15 - 11:45 weekly 29.04.2020 - 15.07.2020 FC E.10 (00.10) tutorial

[SS20] 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

More Info   Moodle Course

Day Time Periodicity Duration Room Type
Tue. 14:15 - 15:45 weekly 21.04.2020 - 14.07.2020 FC E.10 (00.10) seminar
zuletzt bearbeitet am: 20.05.2020