CS440/ECE448: Introduction to Artificial Intelligence


Course Information

Time & Place Tuesday and Thursday 2:00 - 3:15 pm
1404 Siebel Center

Professor Stephen Levinson
email: sel@ifp.uiuc.edu
office: 2009 Beckman Institute
office hours: by appointment
phone: 244-1262

TAs Andrew Fister Tuna Oezer
email: afister2@uiuc.edu email: oezer@uiuc.edu
office: 2023 Beckman Institute office: 1510 Beckman Institute
office hours:
  • Monday 1:30 - 2:30 pm
  • Thursday 12:30 - 1:30 pm
  • office hours:
  • Monday 10:00 - 11:00 am
  • Wednesday 12:00 - 1:00 pm

  • Textbook Artificial Intelligence: A Modern Approach (2nd edition)
    Stuart Russel & Peter Norvig

    Announcements

    Homework Assignments

    Syllabus

    Topic Text Chapters Begin Date
    Introduction
    Jan 16
    Search 3.1 - 3.4
    4.1 - 4.4
    5.1 - 5.3
    Jan 18
    Logic and Knowledge Representation 7.3 - 7.6
    8.1 - 8.3
    9.1 - 9.3
    9.5
    10.1 - 10.2
    Jan 30
    Planning and Action 11.1 - 11.3 Feb 13
    Uncertainty 13.2 - 13.6
    A.2
    A.3
    Feb 22
    Bayesian Networks 14.1 - 14.3 Mar 1
    Midterm
    Mar 6
    Pattern Recognition 20.4 - 20.6 Mar 8
    Spring Break
    Mar 20
    Markov Processes 15.1 - 15.3 Mar 27
    Learning Theory 17.1 - 17.3
    20.1 - 20.3
    Apr 3
    Reinforcement Learning 21 Apr 12
    Speech Recognition 15.6 Apr 19
    Natural Language Processing 22 Apr 24
    Robotics and Vision 24
    25
    Apr 26
    Social and Philosophical Implications 1.1 - 1.3
    26.1 - 26.3
    May 1
    Final
    May 4
    1:30 pm

    Grading

    You may use a one page crib sheet for the midterm.

    Homework is graded on a 0 - 3 scale:
    3: There are no or only very minor mistakes.
    2: There are some mistakes.
    1: There are major mistakes or omissions (e.g., you didn't do a part).
    0: You did not turn in your homework or it was useless.