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 making intelligent machines" [McCarthy]
  • "The study and design of intelligent agents, where an intelligent agent is a system that perceived its environment and takes actions that maximize its chances of success" [Russel and Norvig AI book]

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

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.