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302952 (v.1) Artificial and Machine Intelligence 651
Area: | Department of Computing |
Credits: | 25.0 |
Contact Hours: | 4.0 |
Workshop: | 1 x 4 Hours Weekly |
Prerequisite(s): | 10225 (v.5) Introduction to Programming Environments 502 or any previous version
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Syllabus: | 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. |
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Field of Education: | 20100 Computer Science (Narrow Grouping) | HECS Band (if applicable): | 2 |
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Extent to which this unit or thesis utilises online information: | Not Online | Result Type: | Grade/Mark |
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Availability
| Year | Location | Period | Internal | Area External | Central External | | 2004 | Bentley Campus | Semester 1 | Y | | |
Area
External | refers to external course/units run by the School or Department, offered online or through Web CT, or offered by research. |
Central
External | refers to external course/units run through the Curtin Bentley-based Distance Education Area |
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