|Lecturer||Prof. Dr. Jürgen Bernard|
|Teaching Assistant||Madhav Sachdeva|
|Academic Semester||Spring 2023|
|Time and Location||
Kickoff: Monday 20.09.2023: 16:00-17:30 Uhr, BIN-2.A.01
Final Presentations: Friday 15.12.2023 09:00-18:00 Uhr, BIN-2.A.10
|Link to VV||BSc, MSc|
|Link to OLAT||BSc, MSc|
|Office Hours||Madhav Sachdeva: email for appointments, BIN 2.A.24|
Visual Analytics (VA) combines automated analysis techniques with interactive visualizations for an effective understanding, reasoning, and decision-making based on very large and complex datasets. As such, research into VA focuses on the combination of the strengths of humans and computers to address complex data analysis challenges. Solutions typically include interactive visual interfaces, enabling users to participate actively in the data science and machine learning process (human-in-the-loop).
In groups, students will study a paper of interest that dictates the individual seminar topic. Students will compile a structured list of references, prepare a compelling fact sheet about the topic, and present the topic in class. In parallel, students will receive mentoring from the supervisor, give constructive feedback on other student's work, and participate actively in the presentation and Q&A rounds.
At the end of the course, students: