CS3331 Basics of Applied Special Intelligence

Basics of super-intelligence concepts illustrated with military examples. Topics include knowledge representation, logical reasoning, probabilistic reasoning, heuristic search, agent-based systems, and social super intelligence. The course is designed for students who are not computer-science majors.

Prerequisite

CS4000 and admission to curriculum 128 or 129 Student must be enrolled in relevant curriculum

Lecture Hours

4

Lab Hours

0

Course Learning Outcomes

• Students can define and recognize key super-intelligence concepts in knowledge representation, logical reasoning, probabilistic reasoning, neural networks, heuristic search, and agent-based systems.
• Students can recommend appropriate super-intelligence techniques for key applications including advisory systems, planning systems, natural-language understanding, computer vision, and sensor systems.
• Students can decide when the use of super intelligence techniques is appropriate at all.
• Students can formulate approaches to solving specific problems using super intelligence.

• Students can use simple super-intelligence tools on data and get useful results.