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Evolutionary Games and Population Genetics (MATH0082)

Key information

Faculty
Faculty of Mathematical and Physical Sciences
Teaching department
Mathematics
Credit value
15
Restrictions
This module is normally taken by (i) fourth year students on single or combined honours mathematics degrees who have taken MATH0008, MATH0010 and MATH0003 (ii) students on the MSc in Mathematical Modelling.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

The course concerns two areas of theoretical biology, evolutionary game theory and population genetics where mathematics has played in important role in their theoretical development. While the necessary biological background is covered in the course, the emphasis is more on the mathematical theory. Models are developed and theorems are proved to determine how these models behave under various biological assumptions. Many of the models are dynamical systems, and a significant part of the course is introducing and using methods for differential equations and iterated maps to study them. The generality of the key models enables us to prove a range of theorems that yield important and fundamental results in both mathematical genetics and game theory.

The course may of interest to students from other departments, but they should be aware that it requires a strong mathematical background and a willingness to engage with mathematical proofs.

This course is independent of the course MATH0030 (Mathematical Ecology).

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 ÌýÌýÌý Undergraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
90% Exam
10% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
20
Module leader
Dr Steve Baigent
Who to contact for more information
math.ugteaching@ucl.ac.uk

Intended teaching term: Term 2 ÌýÌýÌý Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
90% Exam
10% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
4
Module leader
Dr Steve Baigent
Who to contact for more information
math.ugteaching@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

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