Seminar: Data Ethics 24

The seminar on Data Ethics is part of the MSc Data Science program at Ludwig-Maximilians-Universität (LMU) Munich. The course will be lead by Prof. Dr. Dieter Kranzlmüller and Fabio Genz.

Contents: The seminar is one part of the module Data Ethics and Data Security, which covers basic legal and ethical questions and challenges of data security. This course helps the students to prepare lectures on ethical and legal aspects of data ethics. Students are introduced to the technical, legal, and ethical issues of data security, especially when dealing with personal data or when planning experiments in Data Science.

Objective: Students will reflect on standard procedures and problems of data protection and learn technical methods to handle data responsibly.


Statistical Reasoning and Inference 2 (Kauermann)

[s24] Statistical Analysis of Network Data (De Nicola)

Big Data Management and Analytics SoSe 2024

In the last decade, the availability of huge data repositories and the strong increase in computational powers have empowered artificial intelligence techniques like neural networks and reinforcement learning. Big Data became the synonym for large, heterogeneous, and dynamic data sources. However, challenges like data quality and non-iid data sources have become more pressing with the new wealth of data.
The course provides an introduction to deep neural networks, which exploit these new conditions to extend the capabilities of Artificial Intelligence Systems constantly. In addition, it covers techniques for handling Big Data sources using modern Hardware like Compute Clouds and GPU-Computing like NoSQL databases and Batch Systems

Note: This course is aimed exclusively at students of the elite master's program Data Science and part of a module spanning two semesters with a consolidated oral exam at the end. That is if you are not enrolled in the Data Science program, you can unfortunately not take this course.