This is an archived version of the course. Please see the latest version of the course.

Module grading

The final grade of your module will be distributed as follows:

  • Final exam: 70%
  • Courseworks: 30%
    • Coursework 1: 40% of coursework (or 12% of final grade)
    • Coursework 2: 60% of coursework (or 18% of final grade)

Final grade distribution

Exam

Your final exam will occur at the end of the term.

You will have 90 minutes to answer 3 questions.

Because of the situation with COVID-19, this term’s exam will be run as a timed remote assessment (TRA).

Coursework

There will be two coursework assignments:

  • Coursework 1: Implementing decision trees
  • Coursework 2: Implementing neural networks

The goals of the coursework assingments are to:

  • Improve your understanding of machine learning
  • Implement basic machine learning techniques (in Python)
  • Learn how to solve problems with machine learning
  • Evaluate and analyse your solutions
  • Work in a group

The deadlines are on the main page, and on CATE:

  • Coursework 1: Friday 5th Nov 19:00 GMT
  • Coursework 2: Friday 26th Nov 19:00 GMT

Plagiarism

No plagiarism please! College is very strict about plagiarism cases, and you will be severely penalised if caught. So please do not make this a hassle for us and for yourself.