[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

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[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

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[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

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