We offer courses in 3D computer vision, robot perception and learning, and foundations of machine learning in various study programmes such as Computer Science, Computer Science in Engineering (Ingenieurinformatik), Mathematics and Computer Science, or Data Science.

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Please check the module handbook to see if the courses are available in your study programme.

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We recommend the following curriculum for in-depth study in our research area.

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Winter term:

• Foundations of Autonomous Mobile Robotics (2L+2E, BSc, 5th semester). In this course, we teach fundamentals of modeling, localization, mapping, and autonomous navigation for mobile robots.
• Computer Vision for Intelligent Systems (2L+2E, MSc, 1st or 3rd semester). This course covers basics and modern approaches of 3D computer vision.
• Seminars on Embodied Artificial Intelligence and Computer Vision (2 weekly hours, BSc 3rd or 5th semester, MSc 1st or 3rd semester). In the seminars, we teach how to read scientific papers and how to give scientific talks and write scientific reports.

Summer term:

• Probabilistic Machine Learning (4L+2E, MSc, 2nd semester). This courses teaches fundamentals in probabilistic machine learning methods that quantify uncertainty in inputs, learned models, and predictions.
• Embodied Artificial Intelligence (2L+4E, MSc, 2nd or 4th semester). This course consists of lectures and team project exercises in robot perception and learning.