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306718 (v.1) Artificial Machine Intelligence 551
Area: |
Department of Computing |
Credits: |
25.0 |
Contact Hours: |
3.0 |
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| ** The tuition pattern below provides details of the types of classes and their duration. This is to be used as a guide only. For more precise information please check your unit outline. ** |
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Lecture: |
1 x 2 Hours Weekly |
Practical: |
1 x 1 Hours Weekly |
Prerequisite(s): |
5396 (v.7) Software Technology 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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| ** To ensure that the most up-to-date information about unit references, texts and outcomes appears, they will be provided in your unit outline prior to commencement. ** |
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Field of Education: |
31300 Electrical and Electronic Engineering and Technology (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 |
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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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