Spring 2025
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: International Center (IC) 115
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:
Weeks 1, 2. Introductory material (selected material from Chapters 1, 2)
Weeks 3, 4. Quantifying uncertainty (Chapter 13)
Weeks 5, 6, 7. Probabilistic reasoning (Chapter 14)
Week 8. Spring break
Weeks 9, 10. Probabilistic reasoning over time (Chapter 15)
Weeks 11, 12. Making simple decisions (Chapter 16)
Weeks 13, 14. Making complex decisions (Chapter 17)
Week 15. Revision. Final project reports due.
Important dates:
First Day of Class: 1/21/2025 Tuesday
Midterm Exam: TBD (week before or after Spring break)
Spring Break: 3/10/2025-3/14/2025 Monday-Friday
Last Day of Class: 4/30/2025 Wednesday
Final Exam: 5/5/2025 Monday 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.
Grading Scale:
Relative grading, based on curve.
Late submission:
No late submission will be entertained. An assignment not submitted within the due date and time will receive zero points.
Attendance policy:
Students are expected to attend all scheduled classes. If a student misses a class, it is the student’s responsibility to obtain the notes for the missed class and catch up on the course content.
Plagiarism/Cheating Policy:
Plagiarism or cheating behavior in any form is unethical and detrimental to proper education and will not be tolerated.