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CSCI 300 - Artificial Intelligence |
An introduction to cognitive science and efforts to implement intelligence in computer hardware and software, with application areas. Topics include search, knowledge representation, reasoning, uncertainty, learning, embodied interaction, future prospects, and philosophical considerations. Concepts are demonstrated with software.
Prerequisites: CSCI 130 Computer Science I using Java or CSCI 156 Python Programming for Applications, and MATH 206 Discrete Mathematics I.
1.000 Credit hours 4.000 Lecture hours Levels: Non-Matriculated, Undergraduate Schedule Types: Directed Study, Independent/Directed Study, Lecture Computer Science Department Course Attributes: Undergraduate Level Course Restrictions: May not be assigned one of the following Student Attributes: DGCE Student May not be enrolled as the following Classifications: Sophomore - Day Division Freshman - Day Division Freshman - Continuing Educatn Sophomore - Continuing Educatn Prerequisites: PREREQ for CSCI 300 General Requirements: ( Course or Test: CSCI 130 May not be taken concurrently. ) or ( Course or Test: CSCI 156 May not be taken concurrently. ) or ( May not be taken concurrently. ) or ( May not be taken concurrently. ) and ( Course or Test: MATH 206 May not be taken concurrently. ) or ( May not be taken concurrently. ) or ( May not be taken concurrently. ) |
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