This course is a broad technical introduction to fundamental concepts and techniques in artificial intelligence. Topics include problem solving, search, knowledge representation and reasoning, reasoning and decision making under uncertainty. Other important topics and current application areas of artificial intelligence, such as automated planning, machine learning, computer vision, robotics, natural language understanding, and intelligent agents, will be discussed.
SU Credits : 3.000
ECTS Credit : 6.000
Prerequisite :
Undergraduate level CS 201 Minimum Grade of D
OR Undergraduate level DSA 201 Minimum Grade of D
Corequisite :
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