Studies and Teaching
For information about studying informatics/ computer sciences, prerequisites, conditions, and degree programs, visit the Institute for Informatics website.
Bachelor/Master thesis request submission
Lectures and Courses
Winter Semester 2024/2025 (provisional)
- Lecture Grundlagen der Künstlichen Intelligenz (Hüllermeier) Tue. 14-16h c.t.
- Seminar Ausgewählte Themen der künstlichen Intelligenz (Hüllermeier) TBD
- Lecture Uncertainty in Artificial Intelligence and Machine Learning (Hüllermeier) Tue 16-18h c.t.
- Seminar Artificial Intelligence and Machine Learning (Hüllermeier) TBD
- Lecture Artificial Intelligence in Science and Society (Hüllermeier) Thur 9-12h c.t.
Please visit our Moodle page for AIM@LMU Minor - Nebenfach Künstliche Intelligenz courses.
Summer Semester 2024
- Lecture Grundlagen des Maschinellen Lernens (Hüllermeier) Tue. 14-16h c.t.
- Master Practical Toolbox for Uncertainty Quantification in Machine Learning (Hüllermeier) Thur. TBD
- Seminar Artificial Intelligence and Machine Learning (Hüllermeier) TBD
- Lecture Preference Learning and Ranking (Hüllermeier) Tue. 16-18h c.t.
- Seminar Recent Advances in Machine Learning (Hüllermeier) TBD
Courses for students interested in the AIM@LMU minor
- Statistik II für Studierende der Soziologie und Nebenfachstudierende (Module P3)(Haensch/Kreuter)
- Softwareentwicklungspraktikum (Modul P4) (Strickroth/Azaiz) Mon.16-18h c.t.
- Mathematik II für Nebenfachstudierende (counts toward Modul WP 1) (Jansen/Schollmeyer)
Students majoring in Soziologie are required to take Statistik II. To replace Module P3 (Statistik II) in this minor, these students must take one additional course offered in Modules WP 1 or WP 2.
Winter Semester 2023/2024
- Lecture Grundlagen des Maschinellen Lernens (Hüllermeier) Tue. 14-16h c.t.
- Seminar “Ausgewählte Themen der künstlichen Intelligenz” (Hüllermeier)
- Lecture Uncertainty in Artificial Intelligence and Machine Learning (Hüllermeier) Tue. 16-18h c.t.
- Lecture Online Machine Learning and Bandits (Bengs) Wed. 10-13h c.t.
- Lecture Automated Algorithm Configuration and Design (Wever) Wed. 14-16h c.t.
Courses for students of the AIM@LMU minor
- Lecture Mathematik I: Grundlegende Konzept für Nebenfachstudierende (Schollmeyer) Wed. 8-10h c.t.
- Lecture Einführung in die Informatik: Programmierung und Softwareentwicklung (Jakobs) Wed. 14-18h c.t.
- Lecture Introduction to Machine Learning (Bothmann, Wimmer) Thur. 10-12h c.t.
- Lecture Einführung in die Künstliche Intelligenz für Studierende der Naturwissenschaften (Hüllermeier) Wed. 10-12h c.t. Abgesagt
Summer Semester 2023
- Lecture Grundlagen der Künstlichen Intelligenz (Hüllermeier) Tue. 14-16h c.t.
- Lecture Einführung in die Künstliche Intelligenz im Nebenfach für Geistes- und Souialwissenschaften (Hüllermeier) Wed. 10-12h c.t.
- Lecture Preference Learning and Ranking (Hüllermeier) Tue. 16-18h c.t.
- Seminar Recent Advances in Machine Learning (Hüllermeier)
- Seminar Artificial Intelligence and Machine Learning (Hüllermeier)
- Lecture Automated Algorithm Configuration and Design (Wever) Wed. 13-16h c.t.
- Lecture Optimization for Machine Learning (Bengs) Tue. 9-12h c.t.
Courses for students interested in the AIM@LMU minor
- Lecture Statistik II für Studierende der Soziologie und Nebenfachstudierende (Module P3) (Haensch/Kreuter) Mon. and Thurs. 12-14h c.t.
- Lecture Einführung in die Künstliche Intelligenz im Nebenfach für Geistes- und Sozialwissenschaften (Module P6) (Hüllermeier) Wed. 10-12h c.t.
- Lecture Introduction to Machine Learning /Einführung in das maschinelle Lernen (Bothmann) Wed. 12-14h c.t.
Winter Semester 2022/2023
- Lecture Grundlagen des Maschinellen Lernens (Hüllermeier)
- Softwareentwicklungspraktikum AutoML Workbench (Wever)
- Seminar Ausgewählte Themen der künstlichen Intelligenz (Hüllermeier)
- Seminar Evolutionary Algorithms (Hüllermeier, Bengs, Damke, Wever)
- Lecture Uncertainty in Artificial Intelligence and Machine Learning (Hüllermeier)
- Seminar Artificial Intelligence and Machine Learning (Hüllermeier)
- Lecture Online Machine Learning and Bandits (Bengs)
Courses for students interested in the AIM@LMU minor
- Lecture Mathematics - Link to the lecture in the LSF. Link to the exercise in the LSF.
- Lecture Introduction to programming - Link to the lecture in the LSF. Link to the exercise in the LSF.
- Lecture Introduction to machine learning (for the natural sciences) - Link to the LSF. Link to the Website.
Summer Semester 2022
- AIM@LMU Ringvorlesung (Hüllermeier, varying lecturers)
- Bachelor seminar: Algorithm Selection
- Lecture Grundlagen der Künstlichen Intelligenz (Hüllermeier)
- Lecture Preference Learning and Ranking (Hüllermeier)
- Seminar Recent Advances in Machine Learning (Hüllermeier)
- Lecture Automated Algorithm Configuration and Design (Wever)
Winter Semester 2021/2022
- Lecture Foundations of Machine Learning (Hüllermeier) Moodle
- Lecture Uncertainty in Artificial Intelligence and Machine Learning (Hüllermeier) Moodle
- Seminar Recent Advances in Machine Learning (Hüllermeier)
Previous Teaching in Paderborn
Winter Semester 2020/2021
- Lecture Modelling (in German) (Hüllermeier))
- Lecture Machine Learning I (Ramaswamy)
- Lecture Online and Adaptive Machine Learning (Bengs)
- Lecture Planning and Heuristic Search (Lettmann)
- Project Group MABA - Multi-armed bandit algorithms (part 2) (Bengs)
- Project Group ML4PdM - Machine Learning for Predictive Maintenance (part 1) (Hüllermeier, T. Tornede)
- Seminar Machine Learning (Hüllermeier)
- Research Seminar Machine Learning (Hüllermeier)
Summer Semester 2020
- Lecture Foundations of Intelligent Systems (in German) (Hüllermeier)
- Lecture Data Mining (in German) (Bengs)
- Lecture Machine Learning II (Hüllermeier)
- Lecture Web-based Information Systems (Lettmann)
- Project Group MABA - Multi-armed bandit algorithms (part 1) (Bengs)
- Seminar Machine Learning (Hüllermeier)
- Research Seminar Machine Learning (Hüllermeier)
Recurring Courses
- Lecture Modelling
- Lecture Foundations of Intelligent Systems
- Lecture Machine Learning I
- Lecture Planning and Heuristic Search
- Lecture Machine Learning II
