Lecturer
Prof. Dr. techn. Wolfgang Nejdl
Professorinnen und Professoren
Course content
- Probability
- Bayes' Nets: Representation, Independence, Inference and sampling
- Decision networks
- Hidden Markov Models, Particle Filters and Applications
- Machine learning:
- Naive Bayes
- Perceptions and Logistic Regression
- Optimization and Neural Networks
- Decision trees
- Robotics / Language / Vision
Teaching assistants
Schedule and other information
Lecture: Mondays 13:00 – 14:00, weekly
Exercise: Tuesday 11:30 – 13:00, weekly
Room: AI lecture hall in Appelstrasse 4
ECTS : 5
Literature
Artificial Intelligence: A Modern Approach (3rd Edition) by Stuart Russell and Peter Norvig.
The lecture notes and exercises are based on the following course:
Exam
- The information about Exam will be updated on StudIP.
- The exam duration is 90 minutes.
- The only allowed aid is a one-sided sheet of paper with handwritten notes.
