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Algorithmen und Datenstrukturen (VO3 + PS2, Bachelor)
Introduction to Autonomous and Intelligent Systems (VO2 + PS1, Bachelor)
Introduction to Machine Learning (VO2 + PS1, Bachelor)

Masterseminar 2 (SE2, Master+PhD) Group 4
Probabilistic Models and Inference (VO1 + PS1, Master)

Brückenkurs Informatik

Einführung in Computer Vision (VO2 + PS1)

Advanced Machine Learning (VO2 + PS1)

Algorithmen und Datenstrukturen (VO3 + PS2, Bachelor)
Introduction to Autonomous and Intelligent Systems (VO2 + PS1, Bachelor)
Introduction to Machine Learning (VO2 + PS1, Bachelor)

Masterseminar 2 (SE2, Master+PhD) Group 7

Bachelor Vertiefungsseminar (SE1)

• Modalities of Oral Exams
• Mixture Models and Expectation Maximization - an introductory tutorial
• Reinforcement Learning - illustrative gridworld demos coded in Java
• Projective Geometry - Matlab illustrations of 2D homographies and camera matrices
• Coding Style Guide in HTML and PDF
• Hints for Presenters