MAT-20037 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

Programme/Approved Electives for 2024/25

Available as a Free Standing Elective

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25

This module gives the opportunity to further develop skills of mathematical problem solving and application of mathematical results to real-world scenarios, especially those involving the analysis and interpretation of large data sets. This aims to develop skills that are needed when undertaking employment or research, such as working in depth on a problem over an extended period, writing reports, communicating mathematical and data-informed results to different audiences, working in collaboration with others, and basic data analysis using Pandas. This module will provide employability skills experiences and develop students¿ ability to articulate their skills, which will be useful to draw on when applying for jobs.

The module's first aim is to further develop students¿ problem solving abilities and ability to select techniques and apply mathematical knowledge to authentic work-style situations, especially those involving analyzing large data sets. Specifically, within this aim, the module aims to:
(i) develop skills in data science and data analysis using the software Pandas;
(ii) develop students¿ ability to solve a problem in depth over an extended period and produce reports;
(iii) develop students¿ ability to communicate mathematical results and data-informed insights to audiences of differing technical ability, including other mathematicians, business clients and the general public;
(iv) develop an appreciation of how groups operate, different roles in group work, and the different skills required to successfully operate as a team;
(v) develop their professionalism.
The second aim of this module is to develop students' employability skills in key areas such as writing CVs and covering letters, online testing and public speaking.

Intended Learning Outcomes

communicate mathematical results to audiences of differing technical ability via different methods: 3
articulate employability skills: 3
produce reports based on the development of a piece of work, in depth over an extended period of time: 3
select appropriate techniques and apply mathematical knowledge to solve problems related to real-world phenomena: 3

Study hours

48 hours classes. The balance between these activities will vary from week to week, including presentations, group work and individual activities.
30 hours collaborative working in groups outside classes.
72 hours individual exercise preparation.

School Rules

Level 4 Mathematics or equivalent.

Description of Module Assessment