2025/26 Undergraduate Module Catalogue

MATH2002 Investigations in Mathematics

20 Credits Class Size: 300

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2025/26

Pre-requisites

MATH1000 Core Mathematics
MATH1013 Computational Mathematics and Modelling

This module is not approved as a discovery module

Module summary

In this module, students will be introduced to ideas and methods of mathematical research. Examples and applications will be drawn from across the spectrum of pure mathematics, applied mathematics and statistics. Students will investigate a mathematical theory or concept, and produce a report.

Objectives

This module will develop students’ skills as mathematical investigators and modellers, preparing them for subsequent project work and enabling them to undertake these activities in a wide variety of contexts following graduation. Lectures on key technical and professional skills will be supplemented with workshops where these can be practised, followed by a substantive team project.

Learning outcomes

On successful completion of the module students will have demonstrated the following learning outcomes:

1. express their ideas mathematically and computationally;
2. investigate the output of a mathematical model;
3. generate visualisations of mathematical objects;
4. find, and evaluate the quality of, mathematical sources;
5. communicate the results of a mathematical investigation;
6. produce a piece of work as part of a team; and
7. reflect on their own practice as a mathematician.

Skills Learning Outcomes

On successful completion of the module students will have demonstrated the following skills learning outcomes:

a. Use a range of sources to aid learning.
b. Communicate technical information using written and spoken media.
c. Manage workload and deadlines through prioritisation and productivity skills.
d. Use software and programming languages to solve problems.
e. Work collaboratively with peers.

Syllabus

1. Making sense of data
2. Visualisation
3. Understanding algorithms
4. Analysis of model outputs
5. Experimental mathematics
6. Mathematical typesetting
7. Literature review

Methods of assessment
The assessment details for this module will be provided at the start of the academic year

Teaching Methods

Delivery type Number Length hours Student hours
Supervision 4 0.5 2
Lecture 4 1 4
Lecture 5 2 10
Practical 5 2 10
Private study hours 174
Total Contact hours 26
Total hours (100hr per 10 credits) 200

Reading List

Check the module area in Minerva for your reading list

Last updated: 30/04/2025

Errors, omissions, failed links etc should be notified to the Catalogue Team