| Offered at: | (G, X) |
|---|---|
| Credit point(s): | 1 |
| Offerings: | Trimester 2 |
| EFTSL value: | 0.125 |
| Unit chair: | M Joordens |
| Prerequisite: | SIT172 |
| Incompatible with: | SEE435 |
| Contact hours: | 1 x 2 hour lecture (weeks 1-6), 1 x 1 hour tutorial (weeks 1-6), 1 x 3 hour practical (weeks 7-11) |
| Note: Online teaching methods require internet access. Please refer to the most current computer specifications. | |
Content
This unit introduces the fundamentals behind Artificial Intelligence (AI) and the different AI applications. It examines the various AI methods including: "A*" and other path finding systems, flocking, pattern, fuzzy logic, rule-base, probability, Bayesian techniques, neural networks and genetic algorithms.
Assessment
Three assignments (20%, 30%, 50%) 100%. To be eligible to obtain a pass in this unit students must achieve at least 50% in the project demonstration and construction (assignment 3, this includes an oral component that must be passed).
Unit Fee Information
| Student Contribution Rate* | Student Contribution Rate** | Fee rate - Domestic Students | Fee rate - International students |
| $1045 | $1045 | $3365 | $3384 |
* Rate for all CSP students, except for those who commenced Education and Nursing units pre 2010
** Rate for CSP students who commenced Education and Nursing units pre 2010
Please note: Unit fees listed do not apply to Deakin Prime students.