Online Courses Handbook 2003

4517 (v.6) Artificial and Machine Intelligence 251

Area:	School of Computing
Contact Hours:	3.0
Credits:	25.0
Lecture:	1 x 2 Hours Weekly
Practical:	1 x 1 Hours Weekly
Prerequisite(s):	10163 (v.8) Introduction to Programming Environments 152 or any previous version
Introduction to LISP, list processing, functional approach. Pattern matching, symbolic representation, LISP - local state, stream processing, function as arguments and results, printing, reading and file manipulation. Search methods, semantic nets and frames in LISP, natural language processing, simple grammar representation. Introduction to neural networks. Introduction to machine learning, constraint propagation, probabilistic reasoning, planning and problem solving paradigms.