Artificial Intelligence | Makerere University Courses

Instructor:

Rose Nakibuule

Course Venue:

Lecture Theatre

CIT Block B

LLT 6C

College of Computing and Information Sciences

Course Code:

CSC 2114

Course Credit Units:

Semester:

Semester 1

Year of Study:

Year 2

Undergraduate or Graduate Level:

Undergraduate Level

College:

College of Computing and Information Sciences

School:

School of Computing and Informatics Technology (CIT)

Department:

Computer Science

Course Description & Objectives:

This course examines the concepts, techniques, applications, and theo- ries of Artificial Intelligence. The focus of the course is on the theory and application of artificial intelligence. Topics include logic, search, and reasoning with an emphasis on fundamentals and recent advances in AI. Given the broad range of topics addressed by the AI field, topics for discussion must, necessarily, be limited. Therefore, this course will focus on issues of search, knowledge representation, reasoning, decision making, and learning from the perspective of an intelligent agent.Objectives

To give students an advanced understanding of, and competence with, the theories, concepts, technologies and techniques of Com- puter Games development.
To produce graduates possessing awareness, knowledge and prac- tical skills in the field of Computer Games enabling them to follow a programme of study that will offer relevant specialization and career options.
To develop students professional attitudes, interpersonal and en- trepreneurial skills which are required by a practitioner in the industry.

Learning Outcomes:

At the end of this course, the student will be able to:

Formulate and assess problems in artificial intelligence.
Assess the strengths and weaknesses of several methods for repre- senting knowledge.
Assess the strengths and weaknesses of several AI algorithms in ar- eas such as heuristic search, game search, logical inference, statis- tical inference, decision theory, planning, machine learning, neural networks, and natural language processing.
Implement software solutions to a wide-variety of problems gen- erally considered to require artificial intelligence.

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