CSD 3939 Home Page

Developing Artificial Intelligence

Outline
Course Work 1 2017/18
Course Work 2
Exam
Resits: the resit coursework (for summer 2019) is the same as above. The deadline for both is the University deadline.
Sessions
- Lecture: Th 9-10 in W147
- Lab: Th 10-12 in H105
- Lab: Th 5-7 in H105
- Lab: F 12-2 in H105 (Paul)
- Lab: F 2:30-4:30 in H105 (Paul)
- Lab: F 4:30-6:30 in H105
Lectures
- Lecture 1:Introduction and Java
- Lecture 2:Learning, Classification and Lines
- Lecture 3:Multi-Layer Perceptrons
- Lecture 4:Categorisation and Cell Assemblies
- Lecture 5:Search and Search Spaces
- Lecture 6:Genetic Algorithms
- Lecture 7:Logic
- Lecture 8:Self Organising Maps
- Lecture 9: Semantic Nets
- Lecture 10:Planning
- Lecture 11:Adversarial Search
- Lecture 12:Case Based Reasoning
- Lecture 13:Constraint Satisfaction
- Lecture 14:Natural Language Processing
- Lecture 15:Processing with Neurons
- Lecture 16:Vision
- Lecture 17:Utility
- Lecture 18:SVMs
- Lecture 19:Deep Belief Nets
- Lecture 20:XML and Ontologies
- Lecture 21:Large Data Sets
- Lecture 22:Rule Based Systems
- Lecture 23:Robotics
- Lecture 24:Conclusion
Labs
- Lab 1: Hello World and 2D Arrays, Old Lab 1 CANT Neural Net.
- Lab 2: Linear Categoriser. Ian developed a solution in two parts.
- Lab 3: Multi Layer Perceptron
- Lab 4: Categorising with CANT
- Lab 5: State Space Search
- Lab 6: Genetic Algorithms
- Lab 7: Prolog
- Lab 8: Self Organising Maps
- Lab 9: Coursework Support
- Lab 10: Coursework Support
- Lab 11: Coursework Support
- Lab 12: Case Based Reasoning
- Lab 13: Eight Queens
- Lab 14: Chatbot
- Lab 15: Processing with Neurons
- Lab 16: Simple Vision
- Lab 17: Utility
- Lab 18: Coursework Support
- Lab 19: Coursework Support
- Lab 20: Coursework Support
- Lab 21: Parallel Sort Lab
- Lab 22: Rule Based Systems Lab
- Lab 23: Search and Search Spaces
- Lab 24: Exam Review
The handbook
Exams Page