CST 3170 Home Page
Developing Artificial Intelligence
Outline
Course Work 1
Course Work 2
Course Work 3
Resits: will be due at the course work deadline 2023.
Sessions
Lecture: W 1:30-2:30 Barn2
Lab: W 9:00-11:00 H105
Lab: W 11:30-1:30 H105
Lab: F 12:00-2:00 H105
Pandemic
Modifictions and Stuff for the Pandemic Introduction
Index of Pages for the Modifictions
Lectures
Lecture 1:
Introduction and Java
Lecture 2:
Search and Search Spaces
Lecture 3:
Genetic Algorithms
Lecture 4:
Processing with Neurons
Lecture 5:
Case Based Reasoning
Lecture 6:
Logic
Lecture 7:
Semantic Nets
Lecture 8:
XML and Ontologies
Lecture 9:
Learning, Classification and Lines
Lecture 10:
Categorisation
Lecture 11:
Vision
Lecture 12:
Multi-Layer Perceptrons
Lecture 13:
SVMs
Lecture 14:
Self Organising Maps
Lecture 15:
Deep Belief Nets
Lecture 16:
Constraint Satisfaction
Lecture 17:
Natural Language Processing
Lecture 18:
Adversarial Search
Lecture 19:
Rule Based Systems
Lecture 20:
Planning
Lecture 21:
Large Data Sets
Lecture 22:
Utility
Lecture 23:
Robotics
Lecture 24:
Conclusion
Labs
Lab 1:
Hello World and 2D Arrays
,
Old Lab 1 CANT
Neural Net.
Lab 2:
State Space Search
Lab 3:
Genetic Algorithms
Lab 4:
Coursework Support
Lab 5:
Case Based Reasoning
Lab 6:
Prolog
Lab 7:
Coursework Support
Lab 8:
Coursework Support
Lab 9:
Linear Categoriser
.
Lab 10:
Categorising with Decision Trees
Lab 11:
Simple Vision (Coursework Support)
Lab 12:
Multi Layer Perceptron
Ian developed
a solution
in two parts
.
Lab 13:
Coursework Support
Lab 14:
Self Organising Maps
Lab 15:
Coursework Support
Lab 16:
Coursework Support
Lab 17:
Chatbot
Lab 18:
Coursework Support
Lab 19:
Rule Based Systems Lab
Lab 20:
Planning
Lab 21:
Parallel Sort Lab
Lab 22:
Coursework Support Lab
Lab 23:
Coursework Support Lab
Lab 24:
Coursework Support Lab
Old Lab:
Semantic Nets
Old Lab:
Processing with Neurons
Old Lab:
Utility
Old Lab:
Eight Queens
Old Lab:
XML
Old Lab:
Search and Search Spaces
The handbook
Exams Page