Course Schedule - Fall Semester 2018

     

ELEC 440 001 (CRN: 10824)

ARTIFICIAL INTELLIGENCE

Long Title: ARTIFICIAL INTELLIGENCE
Department: Electrical & Computer Eng.
Instructor: Subramanian, Devika
Meeting: 9:25AM - 10:40AM TR DCH 1055 (20-AUG-2018 - 30-NOV-2018) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Method of Instruction: Face to Face
Credit Hours: 4
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
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: 0
Total Cross-list Max Enrollment: 80
Total Cross-list Enrolled: 52
Enrollment data as of: 29-NOV-2020 11:02AM
 
Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
 
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. Cross-list: COMP 440, COMP 557, ELEC 557. Mutually Exclusive: Cannot register for ELEC 440 if student has credit for ELEC 557.