Time: TH 1:00pm-2:15pm, 5313 Sennott Square
Computer Science Department
5329 Sennott Square
e-mail: milos at cs pitt edu
office hours: Wednesday 10:30am-noon, Thursday 2:30-4:00pm
TA: Yanbing Xue
Computer Science Department
6804 Sennot Square
e-mail: yax14 at pitt edu
office hours: Monday 11:00am-2:00pm
Announcements (check often)
This course will provide an introduction to the fundamental concepts and techniques underlying the construction of intelligent computer systems. Topics covered in the course include: problem solving and search, logic and knowledge representation, planning, reasoning and decision-making in the presence of uncertainty, and machine learning.
Prerequisites: undergraduate AI course (CS 1571 or equivalent) or the permission of the instructor.
Peter Norvig. Artificial Intelligence. A modern approach. 3rd ed. Prentice
Note: The third edition of the book was published at the end of 2009. Multiple changes to the first (1995) and second (2002) editions of the book occured. Please make sure you get the new edition.
|August 29, 2017||Administrivia. Course overview.||RN - chapters 1, 2||.|
|August 31, 2017||Problem solving by searching.||RN - Chapter 3.1-3.||.|
|September 5, 2017||Uninformed search methods.||RN - Chapter 3.3-4.||Homework assignment 1 (Programs for Hw 1)|
|September 7, 2017||Uninformed search methods II.||RN - Chapter 3.4.||.|
|September 12, 2017||Informed search methods.||RN - Chapter 3.4-5.||Homework assignment 2 (Programs for Hw 2)|
|September 14, 2017||Constraint satisfaction search.||RN - Chapter 6.||.|
|September 19, 2017||Finding optimal configurations.||RN - Chapter 4.1.||Homework assignment 3 (Programs for Hw 3)|
|September 21, 2017||Finding optimal configurations.||RN - Chapter 4.1-2.||.|
|September 26, 2017||Adversarial search.||RN - Chapter 5.||Homework assignment 4 (Programs for Hw 4)|
|September 28, 2017||Knowledge representation: Propositional logic||RN - Chapter 7.||.|
|October 3, 2017||Propositional logic II||RN - Chapter 7.5.||Homework assignment 5|
|October 5, 2017||Propositional logic III||RN - Chapter 7||.|
|October 12, 2017||First order logic||RN - Chapter 8||Homework assignment 6 (Programs for Hw 6)|
|October 17, 2017||First order logic: Inference||RN - Chapter 9||Homework assignment 7|
|October 19, 2017||First order logic: Inference||RN - Chapter 9|
|October 24, 2017||Knowledge based systems, Planning||RN - Chapter 10. Introduction and 10.4.|
|October 26, 2017||Midterm|
|October 31, 2017||Planning||RN - Chapter 10.||Homework assignment 8|
|November 2, 2017||Modeling uncertainty||RN - Chapter 13,14|
|November 7, 2017||Bayesian belief networks||RN - Chapter 14||Homework assignment 9|
|November 9, 2017||
Bayesian belief networks
Decision making in the presence of uncertainty
|RN - Chapter 14, 16|
|November 14, 2017||Decision making in the presence of uncertainty II||RN - Chapter 16||Homework assignment 10|
|November 16, 2017||Machine Learning||RN - Chapter 18|
|November 21, 2017||
|RN - Chapter 20.1-2., 18.6.1-2||no homework|
|November 28, 2017||Linear regression (cont). Logistic regression||RN - Chapter 18.6.1-4||Homework assignment 11 ( Data for Hw 11)|
|November 30, 2017||Multilayer neural networks||RN - Chapter 18.7.|
|December 5, 2017||Guest lecture: Image analysis and Vision||RN - Chapter 24.|
|December 7, 2017||no lecture|
|December 12, 2017||Final exam|
There will be weekly homework assignments. The homeworks will include a mix of both theoretical problems, and programming assignments. The assignments are due at the beginning of the class on the day specified on the assignment. In general, no extensions will be granted.
Collaborations. Collaborations on homeworks are not permitted. Cheating and any other antiintellectual behavior will be dealt with severely. If you feel you may have violated the rules speak to us as soon as possible.
Programming assignments. Knowledge of C/C++ language is neccessary for the programming part. C/C++ programs submitted by you should compile with g++ compiler under unix. Please see the rules for submitting programming assignments.
Students With Disabilities:
If you have a disability for which you are or may be requesting an accommodation, you are encouraged to contact both your instructor and Disability Resources and Services, 216 William Pitt Union, (412) 648-7890/(412) 383-7355 (TTY), as early as possible in the term. DRS will verify your disability and determine reasonable accomodations for this course.