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Classification of items with a Line, Decision Tree. State-Space Search, Genetic Algorithms, Case-Based Reasoning, Self-Organising Maps and much more!

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CST3170_Laboratory

During my third year as an undergraduate, I took a module on Artificial Intelligence.

Artificial Intelligence (AI) Laboratory (CST3170)

  • Utilised the ID3 algorithm and a dataset to split a decision tree in a way to categorise a patient with the correct lens type for their eyes.
  • Implemented linear categorisers, self-organising maps, state-space search (missionaries and cannibals’ problem), and case-based reasoning (Euclidean distances, k-nearest neighbours) algorithms thus far.
  • Leveraged Knowledge: In AI, categorisers, deep neural nets, concepts of linear algebra and calculus.

Below you can find a table listing the topics of each laboratory.

The '✅' will give you more information such as how I approached achieving the 'Topic'

Laboratory Week Topic Link to repository
1 2D Arrays
2 Linear Categoriser
3 Categorisation with Decision Trees
4 State-Space Search
5 Genetic Algorithm
6 Cased Based Reasoning
7 Prolog Language
8 Self Organising Maps
9 - -
10 - -
11 - -
12 Multi Layer Perceptron
13 Eight Queens
14 Chatbot
15 Processing with Neurons
16 Simple Vision
17 Utility
18 Support Vector Machines
19 - -
20 XML
21 Parallel Sort
22 Rule Based Systems
23 Search and Search Spaces
24 - -

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Classification of items with a Line, Decision Tree. State-Space Search, Genetic Algorithms, Case-Based Reasoning, Self-Organising Maps and much more!

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