CMSC421 - Introduction to Artificial Intelligence

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Course Information
Areas and issues in artificial intelligence, including search, inference, knowledge representation, learning, vision, natural languages, expert systems, robotics. Implementation and application of programming languages (e.g. LISP, PROLOG, SMALLTALK), programming techniques (e.g. pattern matching, discrimination networks) and control structures (e.g. agendas, data dependencies).

Instructor Section Day & Time Location
Dana Nau 0101 TuTh 3:30pm - 4:45pm CSI 3117

Course Prerequisite(s)
Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program.

Class Webpage

Hours Per Week
4-6 Hours p/Week

Languages Used
Python

Recommended Prior Experience


Projects, Exams, or other Assessments
Homework, exams, programming projects, readings, possible quizzes


Misc Info