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CSE150 - Introduction to Artificial Intelligence: Search and Reasoning
(Formerly CSE 162)
Units: 4
Course Objectives:
NOTE: Before Fall 2006 this course was titled " Programming Languages for
Artificial Intelligence". The course description was: Experience using two very different
approaches to artificial intelligence
programming. Symbolic manipulation using LISP, with examples drawn from heuristic search,
inference, and/or resolution theorem proving. Pattern recognition and transformation using
neural networks with perception and back prpagation learning algorithms, applied to problems
such as face recognition, English past tense formation, etc.
Introductory course in artificial intelligence programming, concentrating on
the use of the LISP and Prolog languages. Familiarity with computer programming,
especially the ideas of procedural abstraction, recursion, list and tree data structures,
and elementary tree traversal algorithms is presupposed.
Course Description:
Search algorithms including BFS, DFS, iterative deepening and A*, radomized search algorithms
including Walksat, syntas and semantics of first-order logic (FOL), knowledge representation in FOL
including reasoning, basic reasoning with probabilities, basic Bayesian learning.
Format:
3 hours of lecture per week, 1 hour of discussion section, 5 hours of computer lab,
and 3 hours of outside preparation.
Prerequisites:
CSE 100 or Math 176, or consent of instructor.
Other restrictions:
Majors only.
Example Textbook(s):
Winston and Horn, LISP 3rd edition., and Bratko, PROLOG: Programming for Artificial
Intelligence Programming for Artificial Intelligence
Laboratory work:
Programming assignments.
Offered:
One quarter per year, normally in the Winter.
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