Modules

83 modules

Mandatory Modules46

AI in and for Society: Science, Technology and Society in the Digital AgeNo ratings for this module yet.6 ECTSruns this semesterSOT46308Foundations of AI and Data ScienceNo ratings for this module yet.9 ECTSruns this semesterSOT86053Introduction to Deep LearningNo ratings for this module yet.In this module you will learn the fundamentals and current methods of Deep Learning, with a special focus on neural networks and Convolutional Neural Networks. You understand theory (e.g. backpropagation, SGD, regularization) and acquire practical experience in training and optimizing network architectures, so you can solve simple applications such as digit recognition or image classification.6 ECTSruns this semesterIN2346all 46 in Mandatory Modules

Master's Thesis1

Master's Thesis mit MasterkolloquiumNo ratings for this module yet.30 ECTSno date this semesterSOT10060

Elective Modules37

Start-up Skills - Legal FundamentalsNo ratings for this module yet.In this module you will learn the legal basics relevant to the founding and operation of a startup. By the end you will be able to choose an appropriate legal form, assess financing options, and understand the essential regulations on intellectual property, labeling, data protection, and competition law.6 ECTSruns this semesterSOT86083Advanced Analysis of Variance ProceduresNo ratings for this module yet.6 ECTSruns this semesterSOT10058Advanced Deep Learning for Computer Vision: Visual ComputingNo ratings for this module yet.The module conveys current deep-learning methods for computer vision. You will learn both theoretical foundations of modern neural architectures and practical methods such as generative models (GANs, diffusion models, Large Reconstruction Models) and modern 3D representations (e.g., Neural Radiance Fields, 3D Gaussian Splatting). In the end you will be able to apply, evaluate, and implement state-of-the-art methods in project work.8 ECTSruns this semesterIN2390all 37 in Elective Modules