Apr 20, 2024  
2019-2020 Undergraduate Catalog 
    
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2019-2020 Undergraduate Catalog [ARCHIVED CATALOG]

CTEC 426 - Expert Systems using Big Data

3 Credits

(Periodically)
Prerequisite(s): CTEC 298. This course is an introduction to expert system architectures, logical deductions, reasoning with uncertainties (i.e., fuzzy sets, rough sets), knowledge acquisition and representation, and rule based systems. A language such as LISP or PROLOG and an expert system shell such as CLIPS will be used to allow students to construct example expert systems using big data concepts in this course. The course will also be used to develop major components of a Data Scientist Expert System, (i.e., knowledge base, inference engine, and user interface).