Department of Computer Science and Engineering
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CSE 630: Survey of Artificial Intelligence I: Basic Techniques


A survey of the basic concepts and techniques, problem solving, and knowledge representation, including an introduction to expert systems.

Level, Credits, Class Time Distribution, Prerequisites

Level Credits Class Time Distribution Prerequisites
UG 3 3 cl 222/H222 and Math 366

Quarters Offered

General Information, Exclusions, Cross-listings, etc.

Intended Learning Outcomes

For details of terminology see

Representative Texts and Other Course Materials

Textbook(s) and other materials listed are representative only. Please visit or contact a campus-area bookstore before the term starts to determine the textbook(s) to be used in a particular section of the course.

Representative Topics List

Number of Hours Topic
6 Basic representation and problem solving methods
6 Search techniques and game playing
6 Knowledge representation using logic, automated proof techniques
6 Machine learning or probabilistic inference
3 Planning and common sense reasoning
2 Perception and communication
1 Exam

Representative Lab Assignments

Representative Grading Plan

Homeworks and Labs 40%
Midterm 30%
Final 40%

Relationship to BS-CSE Program Outcomes

For details see;SYLLABUS_ID=340

a b c d e f g h i j k
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Course Coordinator: James William Davis

Last modified: 2006-08-02 09:53:57

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