Algorithmic Approaches to Mathematics (817G5)
15 credits, Level 7 (Masters)
Autumn teaching
This module provides a foundation in mathematical and scientific computing techniques used in various fields, including artificial intelligence, artificial life, data science, and computational neuroscience.
Topics include:
- vectors and matrices
- differential calculus
- numerical integration
- probability and hypothesis testing
- dynamical systems theory.
Teaching
50%: Lecture
50%: Seminar
Assessment
100%: Coursework (Problem set)
Contact hours and workload
This module is approximately 150 hours of work. This breaks down into about 44 hours of contact time and about 106 hours of independent study. The University may make minor variations to the contact hours for operational reasons, including timetabling requirements.
We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We鈥檙e planning to run these modules in the academic year 2024/25. However, there may be changes to these modules in response to feedback, staff availability, student demand or updates to our curriculum.
We鈥檒l make sure to let you know of any material changes to modules at the earliest opportunity.