|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.)
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
[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.
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
|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
|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
|Tue.||14:15 - 15:45||weekly||21.04.2020 - 14.07.2020||FC E.10 (00.10)||seminar|