Artificial Intelligence II
" Intelligence: The ability to learn and solve problems " [Webster's dictionary]
" Artificial intelligence is the intelligence exhibited by machines or software " [Wikipedia]
" The science and engineering of intelligent machines " [McCarthy]
" The study and design of intelligent agents, where an intelligent agent is a system did takes its actions and Maximizes its chances of success " [Russell and Norvig AI book]
- 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
Schedule and other information
- Lecture: Mondays 13:00 - 14:30 ( start : 21 Oct 2019)
- Tutorials: Mondays: 12:15 - 13:00 and Fridays: 16:15 - 17:00 ( start : 1 Nov 2019)
- Room: Multimedia Auditorium 023, building 3703, Appelstrasse 4 (lectures and tutorials)
- ECTS : 5
Artificial Intelligence: A Modern Approach (3rd Edition) by Stuart Russell and Peter Norvig.
The lecture notes and exercises are based on the following course:
Public climate school week: 25 to 29 November
Climate change is one of the greatest challenges humanity is facing today.
How can we help to protect the climate?
(Exam not based on AI for climate change)
28/10/2019: Bayes' Nets Representation
04/11/2019: Bayes' Nets Independence
11/18/2019: Bayes' Nets Inference
25/11/2019: Bayes' Nets Sampling
02/12/2019: Decision Networks and Value of Information
09/12/2019: Hidden Markov Models
16/12/2019: HMMs, Particle Filters, and Applications
06/01/2020: Naive Bayes
13/01/2020: Perceptrons and Logistic Regression
01/20/2020: Optimization and Neural Nets
27/01/2020: Neural Nets (wrap-up) and Decision Trees
AI II exam
- The exam will take place on 11 February 2020 at 15:30.
- The exam duration is 90 minutes.
- The only allowed aid is a one-sided sheet of paper with handwritten notes.