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CSCI 442. Expert Systems

Credits: 3
Department: Computer Science
Description: Theory and applications of expert systems. Knowledge acquisition and representation. Inference techniques. An expert system language. Design and evolution of expert systems.
Prerequisites: CSCI 301
Semester Offered: DEMAND
Grading Method: ABCDF

Student Learning Outcomes

1. Apply structured principles and good practices to the task of developing software systems.
2. Effectively communicate both technical and non-technical aspects of their work in formal and informal situations.
3. Analyze the processes used when designing a system and employ established frameworks to evaluate the completed work.
4. Apply the principles learned in the core curriculum to various application domains, build on these principles, and stay current in their knowledge.






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