Maths & Comp Methods for Complex Systems (817G5Z)
Mathematics and Computational Methods for Complex Systems
Module 817G5Z
Module details for 2025/26.
15 credits
FHEQ Level 7 (Masters)
Module Outline
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. The topics covered also
provide the necessary theoretical grounding for a number of modules in
Informatics MSc courses, including Adaptive Systems and Machine Learning,
Topics include:
- Vectors and matrices
- Differential calculus
- Numerical integration
- Probability and hypothesis testing
- Dynamical systems theory
Module learning outcomes
Use vectors and matrices to simplify mathematical operations using Python.
Apply gradient descent for function optimisation using Python.
Construct and integrate simple mathematical systems and analyse their stability using dynamical systems theory.
Analyse a scientifc topic mathematically.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 100.00% | |
| Coursework components. Weighted as shown below. | ||
| Problem Set | XVAC Week 1 | 50.00% |
| Problem Set | XVAC Week 3 | 50.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
Wenqian Xie
Assess convenor
/profiles/576152
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