Courses

A list of courses:

• Large-scale optimization, 9 Credits
• Research ethics for science and technology, 2 Credits
• WASP Summer School 2019, 2020, 1.5 + 1.5 Credits
• Learning Theory and Reinforcement Learning, 6 Credits
• Graphical Models Bayesian Learning and Statistical Relational Learning, 6 Credits
• Statistical Machine Learning, 5 Credits
• Deep Learning and GANS, 6 Credits
• Mathematical Methods in Signals Systems and Control -FEL3370, 8 Credits
• Convex Optimization with Engineering Applications - SF3847, 6 Credits
• Scalable Data Science and Distributed Machine Learning, 6 Credits
• Learning Feature Representations, 6 Credits
• Ethical Legal Societal and Economical Aspects of AI, 3 Credits
• Sequential Monte Carlo Methods, 6 Credits
• Magnetic Resonance Imaging - CM2021, 7.5 Credits