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Viewing: CSCI 4511 : Artificial Intelligence Algorithms

Last approved: Thu, 13 Apr 2017 15:18:20 GMT

Last edit: Wed, 22 Mar 2017 22:51:00 GMT

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School of Engineering and Applied Sciences
Computer Science (CSCI)
CSCI
4511
Artificial Intelligence Algorithms
Intro/ Artificial Intelligence
Fall 2017
3
Course Type
Lecture
Default Grading Method
Letter Grade

No
No
CSCI 3212 and CSCI 3221
Corequisites

30

Frequency of Offering
Every Year
Term(s) Offered
Spring
Are there Course Equivalents?
No
 
No
Fee Type


No


Knowledge representation and reasoning, propositional logic and predicate calculus. Logic programming; search, game trees, backtracking; planning. May be taken for graduate credit.
As a result of completing this course, students will be able to:
1. Understand different types of AI agents
2. Know various AI search algorithms (uninformed, informed, heuristic, constraint satisfaction).
3. Understand the fundamentals of logic based knowledge representation, inference and theorem proving.
4. Understand the fundamentals and computational problems in game strategies, utility theory and decision making.
5. Know various nature inspired search algorithms (genetic, immune, swarm, etc.).
Uploaded a Course Syllabus

Course Attribute
CCAS - Professional

gharris (Wed, 22 Mar 2017 22:51:00 GMT): class schedule appears to have only 12 meetings but it has 14 (two are mislabeled)
Key: 2038