Quantitative Problem Solving 3: Computing Tools and Artificial Intelligence
Module code
MS1A7-15
CATS
15
Duration
8 weeks
Teaching methods
You will learn through a mix of lectures and computer practical sessions, building from theoretical foundations to hands-on application of machine learning and image analysis tools.
Assessment
40% coursework, 60% exam
INS Modules Year 1
Quantitative Problem Solving 3: Computing Tools & Artificial Intelligence
This module introduces students to the AI tools and computational methods useful for biological studies. It provides the theoretical foundations for a range of data analysis approaches — from numerical optimisation and clustering to neural networks and biological image analysis — and gives students hands-on experience applying machine learning techniques to biological datasets.
After completing the module, you will be able to:
- Explain the intuitive principles behind various data analysis tools, including what they model and how they assess model fit
- Apply appropriate data analysis methods to diverse biological datasets using existing computational libraries
- Demonstrate hands-on experience in solving problems using machine learning techniques