Course Schedule and Catalog
Course Schedule - Fall Semester 2020
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
COMP 557 901 (CRN: 11145)
ARTIFICIAL INTELLIGENCE
Long Title: ARTIFICIAL INTELLIGENCE
Department: Computer Science
Instructor: Subramanian, Devika
Meeting: 9:40AM - 11:00AM TR (24-AUG-2020 - 4-DEC-2020)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Online
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Prerequisites: COMP 310 AND (STAT 310 OR ECON 307 OR ECON 382 OR STAT 312 OR STAT 331 OR ELEC 331 OR ELEC 303) AND (MATH 354 OR MATH 355 OR CAAM 335)
Section Max Enrollment: 80
Section Enrolled: 16
Total Cross-list Max Enrollment: 80
Total Cross-list Enrolled: 37
Enrollment data as of: 18-APR-2024 3:17AM
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
11-DEC-2020
9:00AM - 12:00PM F
Description: This is a foundational course in artificial intelligence, the discipline of designing intelligent agents. The course will cover the design and analysis of agents that do the right thing in the face of limited information and computational resources. The course revolves around two main questions: how agents decide what to do, and how they learn from experience. Tools from computer science, probability theory, and game theory will be used. Interesting examples of intelligent agents will be covered, including poker playing programs, bots for various games (e.g. WoW), DS1 -- the spacecraft that performed an autonomous flyby of Comet Borrely in 2001, Stanley -- the Stanford robot car that won the Darpa Grand Challenge, Google Maps and how it calculates driving directions, face and handwriting recognizers, Fedex package delivery planners, airline fare prediction sites, and fraud detectors in financial transactions. Additional coursework required beyond the undergraduate course requirements. Cross-list: COMP 440, ELEC 440, ELEC 557. Mutually Exclusive: Cannot register for COMP 557 if student has credit for COMP 440.