Artificial Intelligence (COMP/EECE 7720/8720)

Spring 2022

Instructor: Bonny Banerjee, Ph.D.

Contact Information:

Office: Engineering Science Bldg. Room 208B

Phone: 901-678-4498

E-mail: bbnerjee@memphis.edu (email communication preferred)

Office Hours: Just after class or by appointment

When: MWF 11:30 am-12:25 pm

Where: Dunn Hall 124

Course Description:

Central issues of artificial intelligence, including game playing, planning, machine learning, common-sense reasoning, perception and action; implementations in LISP. PREREQUISITE: COMP/EECE 6720.

(Note: Students can do implementations for their projects in any language/package they are comfortable with and not necessarily in LISP.)

Required Text:

"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig.

There will be additional readings from class notes, research papers and book chapters.

Topics and tentative schedule:

Week 1 (1/19). Introductory material (selected material from Chapters 1, 2)

Weeks 2, 3 (1/24). Quantifying uncertainty (Chapter 13)

Weeks 3, 4 (1/31). Probabilistic reasoning (Chapter 14), (2/6) Project proposal due

Weeks 5, 6 (2/14). Probabilistic reasoning over time (Chapter 15)

Weeks 6, 7 (2/21). Making simple decisions (Chapter 16)

Week 8 (3/7). Spring break

Weeks 9, 10 (3/14). Making complex decisions (Chapter 17), (3/14) Midterm

Week 11 (3/28). Learning from examples (Chapter 18)

Week 12 (4/4). Knowledge in learning (Chapter 19)

Week 13 (4/11). Learning probabilistic models (Chapter 20)

Week 14 (4/18). Reinforcement learning (Chapter 21),

Week 15 (4/25). Final project reports are due by 4/27/22.

Final exam is on Monday 5/2/22 during 10:30 am-12:30 pm

Evaluation and Final Grades:

Grading: Homeworks 25%, Midterm 25%, Final 25%, Project 25%

The 7720 and 8720 sections will be graded separately. In each exam, the students enrolled for 8720 will have to answer one more question.