COMP 422 – Data Mining, Neural Networks and Genetic Programming
| Points: | 15 | Prerequisites: | COMP 307, plus one further course from COMP 301-399, ECEN 301-399, NWEN 301-399, or SWEN 301-399 |
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| Faculty: | Engineering | Corequisites: | None |
| School: | Engineering & Comp Sci | Restrictions: | None |
This course is concerned with data mining concepts and techniques, especially neural networks and genetic programming. It mainly focuses on the following topics: data mining and knowledge discovery in databases; data mining techniques such as nearest neighbour, naive Bayes, support vector machines, neural networks, genetic algorithms and genetic (automatic) programming; image analysis operations such as feature extraction and image recognition; and performance evaluation of data mining/ machine learning/image recognition systems. The course considers applications ranging from general classification, clustering and optimisation tasks to engineering applications.
Tuition Fees
2012:
domestic $900.00 
international $3,518.70
Trimester 2 2012
* indicates instructor is the course coordinator.
| CRN | From/To | Days | Time | Building [Campus] | Room | Instructor | 2324 | 16 Jul – 21 Oct 2012 | Mon, Wed, Thu | 1410 - 1500 | Alan MacDiarmid Building [Kelburn] | 104 | Mengjie Zhang* |
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