Basics of Applied Artificial Intelligence

Course #CS3331

Est.imated Completion Time: 3 months

Overview

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

Included in Degrees & Certificates

128
367

Prerequisites

CS4000

Learning Outcomes

Students can define and recognize key artificial-intelligence concepts in knowledge representation, logical reasoning, probabilistic reasoning, neural networks, heuristic search, and agent-based systems.
Students can recommend appropriate artificial-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 artificial intelligence techniques is appropriate at all.
Students can formulate approaches to solving specific problems using artificial intelligence.

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

Offerings database access

Asset Publisher

Application Deadlines

No upcoming deadlines.