Teaching
An overview of the courses offered by the Chair of MVS.
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Theses & Oberseminars
The chair deals with the realization of autonomous systems using methods from artificial intelligence and quantum computing. We offer theses with the following specializations:
- Quantum Computing, Quantum Annealing, Quantum Machine Learning
- Autonome Systeme mittels Deep Learning, Reinforcement Learning, Artificial Neural Networks
In the Oberseminar, students give presentations on their project, diploma, bachelor's or master's theses. Attendance is mandatory for all students who are currently writing their project, diploma, bachelor's or master's thesis with us.
Working Groups
Course Content
In this working group (WG), challenging topics of artificial intelligence and machine learning are dealt with in close cooperation with selected students, e.g. in the context of project work and final theses.
In the meetings of the working group, research assistants of the chair present and discuss their current state of research (Progress Report) and important publications (Journal Club) in the field of Artificial Intelligence.
Date(s)
Weekly Thursdays, 3-4 pm (via Zoom, link on request)
Responsible / Contact
Course Content
In this working group (WG) challenging topics from the field of quantum computing are dealt with in close collaboration with selected students.
In the sessions of the working group, scientific staff of the chair present and discuss their current state of research (Progress Report) and important publications (Journal Club) in the field of quantum computing.
As part of this WG, project and final thesis topics may be provided.
Date(s)
Weekly Mondays, 2-3 pm (via Zoom, link on moodle)
Registration
Via Moodle: https://moodle.lmu.de/course/view.php?id=32454
(Registration key "QC-AG")
Responsible / Contact
Course Content
In the "AI for Health" working group, we focus on the exciting challenges and opportunities arising from the use of artificial intelligence in the field of health and well-being. This working group provides a platform for exchange and collaboration between academic staff, students and interested parties who are enthusiastic about the use of AI to improve quality of life.
In the regular meetings of the working group, scientific staff present current research projects and advances in the field of AI to promote health. In addition, relevant scientific publications are discussed in order to jointly analyse the latest developments and trends in this innovative field of research. We will address topics such as the use of machine learning for the predictive analysis of health data, the development of personalised recommendations to promote physical and mental well-being and ethical issues arising from the use of AI in sensitive health areas.
In addition to the scientific contributions of the research assistants, we also invite selected students to present their own projects and ideas and to benefit from the expertise of the group. Together we want to develop new concepts and contribute to improving health and fitness through creative approaches. The working group thus not only offers insights into current research topics, but also the opportunity to actively work on innovative solutions that can make a positive contribution to society.
Date(s)
Weekly, Monday 14:00 - 15:00 s.t.
Registration
Via Moodle: https://moodle.lmu.de/course/view.php?id=38613
(Enrollment on request)