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Artificial Intelligence

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Artificial Intelligence
Kenya Methodist University DLM instructional material

KENYA METHODIST UNIVERSITY DLM BOOKLET FAULTY : COMPUTING AND INFORMATICS

DEPARTMENT

: COMPUTER SCIENCE

COURSE CODE COURSE NAME LECTURER CONTACT

: CISY422/BBIT333 : ARTIFICIAL INTELLIGENCE : ROBERT MUTUA MURUNGI : 0710 480 450, r_mutua@yahoo.com

1st edition ©2012

Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer

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Kenya Methodist University DLM instructional material

KENYA METHODIST UNIVERSITY
P.O. BOX 267 Meru 60200 Kenya Tel. +254-020-2118423/24/25/26/27 Fax. +254-064-30162 e-mail: info@kemu.ac.ke www.kemu.ac.ke NAIROBI CAMPUS KOINANGE STREEET P.O. BOX 45240-00100 Tel. +254-020-248172/247987 Fax: +254-020-248160 Email: nairobicampus@kemu.ac.ke Flexible Learning INSTRUCTIONAL MATERIAL FOR DISTANCE LEARNING STUDENTS

Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer

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Kenya Methodist University DLM instructional material BBIT 333/CISY 422 Introduction to Artificial Intelligence (3 credits) Prerequisite: MATH 211, CISY 101, SOST 136

Purpose of the course: This course is designed to introduce students to basic concepts in artificial intelligence and to explore artificial intelligence applications.

Expected learning outcomes of the course: At the end of the course the student should be able to:   Understand the design and implementation of intelligent agents Understand basic principles and applications of artificial intelligence

 Understand the basic areas of artificial intelligence including problem solving, knowledge representation, reasoning, decision making, planning, perception and action, and learning their applications.

Mode of delivery: Distance learning mode

Instructional materials and/or equipment:  A computer installed with a software machine learning tools such as WEKA

Course assessment:   Continuous assessment End of trimester examination 40% 60%

Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer


References: 1. Russel Stuart J., Peter Norvig (1995). Artificial intelligence: A modern approach. Prentice-Hall. 2. Nils J. Nilsson (1996). Introduction to Machine Learning 3. Henry, B.: Introducing Artificial Intelligence; Gutenberg press, 2008 4. Tim, J.M: Artificial Intelligence: A system approach, Jones and Bartlett Publishers, 2009. 5. George, F.L.: Artificial Intelligence: structures and strategies for complex problem solving, 6th Edition; Addison Wesley, 2008. Artificial Intelligence by Robert Mutua Murungi – I.T Lecturer 67
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