COMP702
Classical Artifical Intelligence
Topic Overview
This module consists of a series of interconnected topics. You'll be exploring them in the workshops, as well as in your own time. The table below shows what topics will be covered and when.
| Week | Topic | Lecture | Workshop |
|---|---|---|---|
| 8 | Artifical Intelligence | What is Artifical Intelligence? | |
| 9 | Authored Behaviors and Emergence | Agents | Emre |
| Authored Behaviors | Behaviour Trees | ||
| 10 | Game Theory, Minmax, and MCTS | Theoretical models for games | Emre |
| Monte Carlo Tree Search | Rule-Based AI | ||
| 11 | Navigation and Planning | Navigation | Emre |
| Planning | Assignment Support | ||
| 12 | Constraint Satisfaction and Logic | Contraint Satisfaction | Emre |
| Logic Programming | PCG | ||
| Winter Break | |||
| 13 | Working with Data | Fuzzy Logic, Probability, and Inference | Emre |
| Data Science with Python | Python Tutorial | ||
| 14 | Peer Review | ||
| 15 | Viva | ||
Assessments
You have one asessment for this module:
| Description | Weighting |
|---|---|
| Portfilio of AI Instances | 100% |
As per University Policy, deadlines can be found on MyFalmouth.