Course Information Undergraduate prospectus

Mathematics Foundation Projects

Course summary

Course code: MATH1150
Level: 0
Credits: 60
School: Architecture, Computing and Hums
Department: Mathematical Sciences
Course Coordinator(s): Timothy Reis



This course aims to provide BSc H Mathematics (Extended) students with essential knowledge and skills required to be successful in higher education and the workplace. It aims to prepare students to progress onto the first year of the BSc Mathematics programme, by developing key mathematical modelling skills and transferable skills such as verbal and written communication, team working, planning and management, learning strategies, and employability skills.

Learning outcomes

On successful completion of this course a student will be able to:

Learning Outcome

1. Apply their understanding of mathematical, statistical and computational techniques to real-life problems.

2. Produce well-structured and accurate written communications and oral presentations using a range of information and communication technologies.

3. Work effectively both as part of a team and as an individual to successfully plan, manage, and implement mathematical projects.

4. Reflect critically on their personal and professional development.

5. Understand fundamental principles of research methods and academic conduct.

6. Effectively utilise word-processing, slideshow and spreadsheet software.

Indicative content

Research methods and academic conduct, problem solving strategies, mathematical modelling, communication of mathematics, word-processing, creating presentations, utilising spreadsheets, project design and management, learning styles, skills for effective learning, revision and examination strategies, team working, planning and organisational skills, personal development planning (PDP), career planning, self-assessment techniques, and peer review.

Teaching and learning activity

The course focusses on project based learning and therefore a flexible teaching model is employed, where sessions are run as workshops combining traditional teaching methods with hands-on activities. Initially, students will embark on a mathematical Modelling Week exercise (a week's intensive project at the beginning of the course, culminating in group presentations). They will then be placed into groups, typically comprising of six members, and will complete three further projects over the academic year. Students are expected to engage in self-learning to complete research tasks and to conduct mathematical analysis. Each project specifies a real world modelling problem, and will require students to apply their understanding of mathematical, statistical and computational techniques. Course content is delivered by the course leader and formatively assessed in the form of tutorial activities. Laboratory sessions are held throughout the academic year to aid understanding, and provide hands-on practice of taught material. Group work is supervised by the course leader and monitored in the form of regular group review sessions.


Summative Assessment:
Modelling week - Project 1 - 10%
LO - 1-3
2000 words.
Group report and group presentation.

Project 2 - 20%
LO- 1-6
2000 words.
Group report, group presentation, and individual logbook.

Project 3 - 30%
LO - 1-6
3500 words.
Group report, group presentation, and individual logbook

Project 4 - 40%
LO - 1-6
5000 words.
Group report, group presentation, and individual logbook.

Formative assessment: Weekly tutorial exercises.