Master of Science (ID 287043)

1. Semester

• Application Field / Elective Area (10 CP)
• Elective Area (44 CP)
• General competencies / Elective area (6 CP)

3. Semester

• Application Field / Elective Area II (8 CP)
• Elective Area II (6 CP)
• Master’s Advanced Practical (8 CP)
• Master’s Advanced Seminar (4 CP)

4. Semester

• Master’s Colloquium (4 CP)
• Master’s Thesis (30 CP)

weitere Module

• Advanced Machine Learning (W)
• Algorithm Engineering (W)
• Artificial Intelligence for Programming (W)
• Basic Module Numerics and Optimization (W)
• Complex Network Analysis (W)
• Computability and Complexity I (W)
• Computability and Complexity II (W)
• Computational Geometry (W)
• Computer Games (Game Engine Design) (W)
• Computer Vision: 3D Reconstruction (W)
• Discrete Structures 2 (W)
• Distributed and Parallel Algorithms (W)
• Fundamentals of Machine Learning (W)
• Generative Neural Networks for the Sciences (W)
• Geometric Modeling and Animation (W)
• Hardware Aware Scientific Computing (W)
• Introduction to Optimization (W)
• Inverse Problems (W)
• IT Project Management (W)
• IT-Sicherheit 2 (W)
• Knowledge Management and Decision-Making in Software Engineering (W)
• Machine Learning (W)
• Machine Learning and Physics (W)
• Mining Massive Datasets (W)
• Modules from the MSc Computer Engineering (W)
• Natural Language Processing with Transformers (W)
• Numerics (W)
• Optimization for Machine Learning (W)
• Practical Geometry (W)
• Probability Theory (W)
• Projektseminar Biomedizinische Bildanalyse (W)
• Scientific Visualisation (W)
• Scientific Working (W)
• Software Economics (W)
• Software Evolution (W)
• Specialization Module Numerics and Optimization (W)
• Specialization: Algorithms and Theoretical Computer Science (W)
• Specialization: Information Systems Engineering (W)
• Specialization: Scientific Computing (W)
• Specialization: Visual Computing (W)
• Statistics (W)
• Volume Visualization (W)