Lectures
The following (non-exhaustive) list summarizes lectures at RWTH Aachen University that teach AI methods and concepts. It is meant to guide interested students who want to engage more deeply into AI topics.
Knowledge Representation
- Introduction to Knowledge Representation (Knowledge-Based Systems Group)
- The Logic of Knowledge Bases (Knowledge-Based Systems Group)
- Semantic Web (Computer Science 5 - Information Systems and Databases)
Machine Learning
- Machine Learning (Visual Computing Insitute)
- Advanced Machine Learning (Visual Computing Insitute)
- Deep Learning Lab (Visual Computing Insitute)
- CSME 2: Data Science and Machine Learning (Institute for Data Science in Mechanical Engineering)
- Laboratory Machine Learning (Institute of Imaging and Computer Vision)
-
Machine Learning in Industrial Control Engineering (Institute of Automatic Control)
Data Science
- Introduction to Data Science (Chair of Process and Data Science)
- Web Mining (Chair for Computational Social Sciences and Humanities)
- Text Mining (Chair for Computational Social Sciences and Humanities)
- Algorithmic Foundations of Data Science (Computer Science 7 - Logic and Theory of Discrete Systems)
- Social Data Science (Chair for Computational Social Sciences and Humanities)
- CSME 2: Data Science and Machine Learnning (Insittute for Data Science in Mechanical Engineering)
- Seminar: Privacy and Big Data (Computer Science 5 - Information Systems & Databases)
- Seminar: Intelligent Processing and Analysis of Data (Institute of Imaging and Computer Vision)
- Seminar: Data Science (Computer Science 7 - Logic and Theory of Discrete Systems)
Speech & Language
- Automatic Speech Recognition (Computer Science 6 - Human Language Technology and Pattern Recognition) Group
- Advanced Methods in Automatic Speech Recognition (Computer Science 6 - Human Language Technology and Pattern Recognition Group)
- Statistical Methods in Natural Language Processing (Computer Science 6 - Human Language Technology and Pattern Recognition Group)
Process Mining
- Advanced Process Mining (Chair of Process and Data Science)
- Business Process Intelligence (Chair of Process and Data Science)
- Seminar: Machine Learning Applications in Process Mining (Chair of Process and Data Science)
- Seminar: Selected Topics in Process Mining (Chair of Process and Data Science)
- Seminar: Simulation Techniques in Process Mining (Chair of Process and Data Science)
Reinforcement Learning
- Seminar: Learning-Based Control (Institute for Data Science in Mechanical Engineering)
Biomedical & Health
- Seminar: Data Science in Medicine (Computer Science 5 - Information Systems and Databases)
Other Lectures
- Introduction to Artificial Intelligence (Knowledge-Based Systems Group)
- Uncertainty in Robotics (Knowledge-Based Systems Group)
- Proseminar: Artificial Intelligence (Knowledge-Based Systems Group)
- Seminar: Ethics of Artificial Intelligence and Robotics (Institute for Data Science in Mechanical Engineering)
- Web Science (Computer Science 5 - Information Systems and Databases)
- Künstliche Neuronale Netze (Chair of Integrated Digital Systems and Circuit design)