CITS3001 reinforces key concepts from CITS2200 Data Structures and Algorithms
and extends them to the context of autonomous programs, or agents.
We introduce ideas such as decision-making, goal-directed behaviour,
heuristic search, action selection, performance (self-)evaluation,
expected return, and learning. These concepts are explored in the context of
artificial intelligence or 'intelligent agents'.
- Unit Co-ordinator: Lyndon While
- Lecturer: Syed Islam
- Lectures: 2 hours per week; tutes: 1 hour per week; labs: 3 hours per week
- Consultation hours: 1-2pm Tuesdays (Lyndon), 2:30-3:30pm Wednesday (Shams)
- Prerequisites: CITS2200 Data Structures and Algorithms
- Incompatible: CITS3210 Algorithms, CITS4211 Artificial Intelligence
Recent News:
18 June |
The marks for the project are now available.
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24 May |
If you haven't done it already, please take the time to fill out UWA's SURF survey for CITS3001.
All feedback is welcome, and we take all information into account when planning units in future years.
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Archived News
Assessment Structure: