AI as a major Minor - AIM@LMU
Artificial Intelligence as a major Minor - AIM@LMU
The 30 ECTS-point and 60 ECTS-point minor "Künstliche Intelligenz / Artificial Intelligence" will start in the winter semester of 2023/2024. Please contact your academic coordinator to find out how to enroll.
Links to the degree programs on the central LMU Website (Degree Program finder):
Please contact Dr. Iris Trautmann or Jane Matveyeva for more information regarding the minor.
Please take the opportunity to complete the Online Self Assessment to learn more about the contents and skills necessary for the minor.
Overview of the 60 ECTS Minor
Studies and examination regulations (PuStO) of the 30 ECTS and 60 ECTS minors:
- Prüfungs- und Studienordnung der Ludwig-Maximilians-Universität München für das Studium des Fachs Künstliche Intelligenz als Nebenfach im Umfang von 30 und 60 ECTS-Punkten für Bachelorstudiengänge (2023) vom 5. September 2023 (PDF, 157 KB)
- Lecture Einführung in die Informatik: Programmierung und Softwareentwicklung (Module P1) (Jakobs) Moodle
- Lecture Mathematik I: Grundlegende Konzept für Nebenfachstudierende (Module P2) (Schollmeyer) Wed. 8-10h c.t.
- Lecture Einführung in die Künstliche Intelligenz für Studierende der Naturwissenschaften(Hüllermeier) Wed. 10-12h c.t. uni2work
- Lecture Einführung in das maschinelle Lernen (vorwiegend für NF)(Bothmann) Thurs. 10-12h c.t. Moodle
- Introduction to inductive statistics for minor students (6 ECTS)
- Introduction to artificial intelligence (for the natural sciences) (6 ECTS)
- Introduction to machine learning (for the natural sciences) (6 ECTS)
- Artificial intelligence in science and society (6 ECTS)
- Mathematics (Linear algebra and analysis, 6ECTS) - Link to the lecture in the LSF. Link to the exercise in the LSF.
- Introduction to programming (6 ECTS) - Link to the lecture in the LSF. Link to the exercise in the LSF.
- Introduction to machine learning (for the natural sciences) (6 ECTS) Link to the LSF. Link to the Website.
AIM@LMU: The Project
The advances and rapid developments that we are currently experiencing in the fields of artificial intelligence (AI) and machine learning (ML) are not only accompanied by far-reaching changes in our society, industry, and the economy but are also starting to influence other areas of science, in which AI methods open up new research perspectives. A basic understanding of the concepts and methods of AI and their potential, risks, and limitations is therefore not only of fundamental importance for students of the computer sciences and related subjects but is also becoming increasingly important for students of completely different disciplines.
Taking this development into account, Prof. Dr. Hüllermeier and his colleagues have set themselves the goal of designing a broad, interdisciplinary training program for students at the Ludwig-Maximilians-Universität (LMU) in Munich. The Federal Ministry of Education and Research (BMBF) is funding the program "Artificial Intelligence as a major Minor" (AIM@LMU) at LMU.
The course offer is individually coordinated with the respective subjects, but will follow one of two models:
- Minor model for subjects with a minor of 30 ECTS (e.g. mathematics and some natural sciences) or 60 ECTS (typical for humanities and many social sciences) in the bachelor's degree, and
- Import model for subjects without an actual minor, which typically have larger blocks of elective modules.
topAI Minor (30 ECTS /60 ECTS)
The minor subject model for the 60 ECTS minor will offer two blocks of 30 ECTS each in the bachelor’s degree, a “Basics” block and an “Artificial Intelligence” block (see figure below). For the 30 ECTS minor subjects, basic knowledge of mathematics and computer science/programming will be assumed so that the first block can be omitted.
The first block "Basics" is intended to convey the essential prerequisites in mathematics, computer science, and statistics and includes the following modules:
- Mathematics (Linear algebra and analysis, 6 ECTS, 3 SWS lectures + 2 SWS exercise course)
- Introduction to inductive statistics for students of the minor (6 ECTS, 4 SWS lectures + 2 SWS exercise course)
- Introduction to programming (6 ECTS, 3 SWS lecture + 2 SWS exercise course)
- Programming practical training (6 ECTS, 4 SWS practical training)
- Mandatory elective (6 ECTS): Database systems, human-machine interaction, algorithms and data structures, data mining algorithms, logic and discrete structures, human computation, economic and social statistics, and other courses on request.
The second block, “Artificial Intelligence,” includes the following the AI courses:
- Introduction to artificial intelligence (for the natural/ social sciences) (6 ECTS, 3 SWS lectures + 1 SWS exercise course)
- Introduction to machine learning (for the natural/social sciences) (6 ECTS, 3 SWS lectures + 1 SWS exercise course)
- Artificial intelligence in science and society (lecture series, 6 ECTS)
- Practical applications of artificial intelligence (12 ECTS)
The Import model enables a specific design for the respective subject in which both detailed previous knowledge and general framework conditions of the course structure, including the distribution of the available ECTS points, can be addressed.
Please view the list of degree programs offering the Minor on the central LMU Website (Degree Program finder):
The courses of the "Basics" block will be taught primarily in German, and the courses of the "Artificial Intelligence" block will be taught either in German or English.
Institute for Informatics
Prof. Dr. Eyke Hüllermeier, Project Coordinator, Artificial Intelligence
Prof. Dr. Sven Strickroth, Programming, Technology-Enhanced Learning
Dr. Iris Trautmann, Jane Matveyeva, Project Administration and Management
Institute for Statistics
Prof. Dr. Thomas Augustin, Mathematics and Statistics
Prof. Dr. Bernd Bischl, Machine Learning
Institute for Physics
Prod. Dr. Jochen Weller, AI in Physics
For questions, contact the project coordinator or project administration.