AVÊÓƵ

School of Engineering and Informatics (for staff and students)

Maths & Comp Methods for Complex Systems (817G5)

Mathematics and Computational Methods for Complex Systems

Module 817G5

Module details for 2022/23.

15 credits

FHEQ Level 7 (Masters)

Pre-Requisite

MComp Computer Science. This module must be taken if G6078 Game Design and Development was taken in year 2.

MSc Computer Science (conversion). This is a pre-requisite for 934G5 Machine Learning

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 modules such as Machine Learning and Adaptive Systems, as well as for the research projects for Artificial Intelligence and Adaptive Systems MSc and the Data Science MSc.

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.

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
Problem SetA1 Week 2 100.00%
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.

TermMethodDurationWeek pattern
Autumn SemesterLecture2 hours11111111111
Autumn SemesterSeminar2 hours11111111111

How to read the week pattern

The numbers indicate the weeks of the term and how many events take place each week.

Dr Dhruva Raman

Assess convenor
/profiles/580142

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, AVÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
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