Class schedule: the page will be regularly updated. Check it out regularly for announcements of required/recommended reading material, homework, etc.
General Information
Prereq: A grade of "P" or "C" or better in CSCE 310 (Data structures and algorithms), CSCE 310H, CSCE 311, SOFT 260, SOFT 260H or RAIK 283H.
Course description: Introduction to the basic principles, techniques and tools now being used in the area of computational. Lecture topics will include problem solving, knowledge representation and reasoning, search, expert systems, and planning and action. More advanced topics may be included depending on class interests and performance. Programming will be done in Common Lisp using Allegro Common Lisp (ACL) and its programming environment.
Meetings: In person
Lectures: Mon/Wed/Fri 2:30--3:20 in AvH 118
Recitation: Mon 3:30--4:20 in AvH 21 and AvH 118 (include weekly quizzes)
Instructor: Prof. Berthe Y. Choueiry
Office location: Room 259, Avery Hall,
Office hours: Wednesdays and Fridays 3:30pm--4:30 or by appointment. Using a
Zoom meeting room
GTA
GTA Kendric Thompson
Office hours:
Thursday 11:30--12:30 a.m. in
AvH 12 or by apppointment.
UTAs
UTA Max Nguyen
Office hours:
Tuesday
11:00A.M.--12:00P.M. in AvH 12 or
Zoom meeting
room or by apppointment.
Communications:
- Class wiki
- Course WebPage: You can access all information about the course from the course WebPage. Check the course schedule to prepare for each class.
- Canvas: Grades are posted on Canvas. Check them regularly and alert us about grading errors within seven (7) calendar days.
- Piazza: For a quick response, send your questions to Piazza. Your message will be read by the TA and the instructor and they will respond to you ASAP.
- Webhandin: All homework, projects, reports, etc. must be submitted via the webhandin system of CSE.
- Anonymous Suggestion Box: You may also choose to drop us a note in the Anonymous Suggestion Box to express any opinion about the course. (You can do it also via Piazza.)
Textbooks (check the bookstore):
- Required: Artificial Intelligence, A Modern Approach (AIMA), Fourth Edition, by Russell & Norvig.
- Required: LISP, 3rd Edition; (LWH). Winston & Horn.
- Optional (recommended): Common Lisp, the Language. Guy Steele.