Time: MW 2:30pm-3:45pm, Langley Hall A 214 (LANGY A214)
Computer Science Department
5329 Sennott Square
e-mail: milos at pitt edu
office hours: Tuesday 1:00-2:30pm, Wednesday 9:30am-10:30am
TA: Patrick Luo
Computer Science Department
5406 Sennot Square
e-mail: zhl78 at pitt edu
office hours: Monday 9:00am-10:30am, Tuesday 2:30pm-4:00pm
TA: Giacomo Nebbia
Intelligent Systems Program
5108 Sennot Square
e-mail: gin2 at pitt edu
office hours: Monday 10:30am - noon, Tuesday 10:30am-noon
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 26, 2019||Administrivia. Course overview.||RN - chapters 1, 2||.|
|August 28, 2019||Problem solving by searching.||RN - Chapter 3.1-3.||.|
|September 4, 2019||Uninformed search methods.||RN - Chapter 3.3-4.||Homework assignment 1 (Programs for Hw 1)|
|September 9, 2019||Uninformed search methods II.||RN - Chapter 3.4.||.|
|September 11, 2019||Informed search methods.||RN - Chapter 3.4-5.||Homework assignment 2 (Programs for Hw 2)|
|September 16, 2019||Constraint satisfaction search.||RN - Chapter 6.||.|
|September 18, 2019||Optimal configuration search methods.||RN - Chapter 4.1-2.||Homework assignment 3 (Programs for Hw 3)|
|September 23, 2019||
Methods for finding optimal configurations II.
|RN - Chapter 4.1-2.,Chapter 5||.|
|September 25, 2019||Knowledge representation. Propositional logic.||RN - Chapter 7.||Homework assignment 4 (Programs for Hw 4)|
|September 30, 2019||Inference in propositional logic.||RN - Chapter 7.||.|
|October 2, 2019||Inference in propositional logic II.||RN - Chapter 7.||Homework assignment 5 (Programs for Hw 5)|
|October 7, 2019||First-order logic||RN - Chapter 8||.|
|October 9, 2019||Inference in the first order logic.||RN - Chapter 8||Homework assignment 6|
|October 14, 2019||
First-order logic: HNF. Production systems.
Planning I: situation calculus.
|RN - Chapters 8,9 and 10 (Intro and 10.4)||.|
|October 16, 2019||Planning II: STRIPS, POP planners||RN - Chapter 10||Homework assignment 7|
|October 21, 2019||
Planning III: abstractions, contingency planers
Models of uncertainty
|RN - Chapters 10, 13||.|
|October 23, 2019||Midterm||All lectures above||.|
|October 28, 2019||Bayesian belief networks||RN - Chapters 13,14||.|
|October 30, 2019||Bayesian belief networks II||RN - Chapters 14||Homework assignment 8|
|November 4, 2019||
Bayesian belief networks III
Decision making in the presence of uncertainty
|RN - Chapters 14,16||.|
|November 6, 2019||Decision making in the presence of uncertainty II||RN - Chapter 16||Homework assignment 9|
|November 11, 2019||Machine learning||RN - Chapter 18||.|
|November 13, 2019||Machine learning II: density estimation||RN - Chapter 18||Homework assignment 10|
|November 18, 2019||Machine learning III: Linear regression||RN - Chapter 18|
|November 20, 2019||Machine learning IV: Classification||RN - Chapter 18||Homework assignment 11 (Programs/Data for Hw 11)|
|December 2, 2019||No class||RN - Chapter 18||.|
|December 4, 2019||Machine learning V: Multilayer Neural Networks||RN - Chapter 18||.|
|December 9, 2019||Final exam||RN - Chapter 18||.|
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.
Academic integrity. 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. Please make sure you understand and abide to the SCI academic integrity policy.
Programming assignments will be in Python language. Python programs submitted by you should work with Python 3.6. 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.