Private: Masters of Science (M.SC.) in Artificial Intelligence

1st Semester
Machine Learning
6 Topics
Supervised, unsupervised, and reinforcement learning approaches
Regression and classification learning problems
Estimation of functional dependencies via regression techniques
Data clustering
Support vector machines, large margin classification
Decision tree learning
Deep Learning
5 Topics
Introduction to neural networks and deep earning
Network architectures
Neural network training
Alternative training methods
Further network architectures
Use Case and Evaluation
6 Topics
Use case evaluation
Model-centric evaluation
Business-centric evaluation
Monitoring
Avoiding common fallacies
Change management
Reinforcement Learning
5 Topics
Introduction to reinforcement learning
Markov chains
Bandit
Q-Learning
Reinforcement learning approaches
Seminar: Current Topics in AI
1 Topic
In this module, students will reflect on current developments in AI. To this end, pertinent topics will be introduced via articles that are then critically evaluated by the students in the form of a written essay.
Project: AI Use Case
1 Topic
In the course “Project: AI Use Case”, students choose a project task in accord with their tutor from a variety of options. The goal is to prototypically implement an artificial intelligence model or system in a suitable development environment. The choice of approach, the system or software implemented, and the resulting performance on the task is to be reasoned about, explained, and documented in a project report. To this end, students make practical use of the methodological knowledge acquired in the previous courses by applying them to relevant real-world problems.
2nd Semester
Elective
Master Thesis & Colloquium
ELECTIVES
Choose one of the following electives for your second semester:
3 Topics
Computer Vision And NLP
Advanced Robotics 4.0
Applied Autonomous Driving
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In the course “Project: AI Use Case”, students choose a project task in accord with their tutor from a variety of options. The goal is to prototypically implement an artificial intelligence model or system in a suitable development environment. The choice of approach, the system or software implemented, and the resulting performance on the task is to be reasoned about, explained, and documented in a project report. To this end, students make practical use of the methodological knowledge acquired in the previous courses by applying them to relevant real-world problems.

Private: Masters of Science (M.SC.) in Artificial Intelligence Project: AI Use Case In the course “Project: AI Use Case”, students choose a project task in accord with their tutor from a variety of options. The goal is to prototypically implement an artificial intelligence model or system in a suitable development environment. The choice of approach, the system or software implemented, and the resulting performance on the task is to be reasoned about, explained, and documented in a project report. To this end, students make practical use of the methodological knowledge acquired in the previous courses by applying them to relevant real-world problems.
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