ARTIFICIAL INTELLIGENCE (4 SCU)

Learning Outcomes:

Upon successful completion of this course, students are expected to be able to explain the principles of artificial intelligence; define and apply appropriate computing and mathematical techniques in an artificial intelligence application; and analyze the computing requirements appropriate to solve a computing problem in artificial intelligence and implement AI algorithms and/or experiment with tools.

Topics:

The course provides students with the knowledge of artificial intelligence (AI) concepts and enables them to develop intelligent programs. The course covers the basic intelligent building blocks such as solution searching algorithms, knowledge representation, logical reasoning (inference), and learning algorithms that allow an intelligent agent to operate autonomously in a complex environment to achieve its design purpose. It also covers the history of AI, the present, the future, and the challenges that will broaden the students’ perspectives on the field. Some projects that require programming work will provide the students with the opportunity to apply various techniques learned in the class to solve practical problems.

Prerequisite(s): Algorithm Design and Analysis