All degrees

Artificial Intelligence

From probability and algorithms to the models behind today's AI, and how to use them safely.

  1. 01Programming fundamentalsValues and types, memory, control flow, functions, recursion, lists and strings, errors and tests: the first programming course of any CS degree.
  2. 02Discrete mathematicsLogic, proof, sets, counting, recurrences, graphs and number theory: the mathematics that every algorithm, database and cipher is built on.
  3. 03Statistics and probabilityFrom averages and dice to Bayes, the normal curve, confidence intervals, p-values and regression: the maths for reasoning about data honestly.
  4. 04Data structures and algorithmsBig-O, lists, stacks, queues, hash tables, trees, heaps, sorting and graphs: how to store data and how fast you can work with it.
  5. 05Machine learningLoss functions, gradient descent, logistic regression, regularisation, trees, clustering, backpropagation and cross-validation, with the maths worked out.