Maths for Engineers I module (GA11006)
Develops the mathematical techniques and skills — including algebra, trigonometry, vectors and geometry — required for an engineering degree
This module develops the mathematical understanding and problem-solving skills that underpin engineering degree study.
You will cover a range of core topics including algebra fundamentals, functions and graphs, solving equations, trigonometry, vectors, geometry and further algebra.
Teaching combines formal lectures that introduce and demonstrate mathematical techniques with built-in tutorial sessions where you practise applying those techniques to solve engineering problems.
Assessment uses a mastery-based approach: a Mobius bootcamp online test (35%) allows multiple attempts over a four-week period until you achieve the required standard, alongside two homework assignment submissions (30% and 35%) completed individually.
This module is delivered as part of a Graduate Apprenticeship programme, with teaching taking place one day a week on the Dundee city campus.
What you will learn
In this module, you will:
- Apply relevant mathematical techniques and tools — including algebra, trigonometry and vectors — to solve mathematical problems.
- Apply problem-solving and reasoning strategies to unfamiliar mathematical problems.
By the end of this module, you will be able to:
- Apply relevant mathematical techniques and tools to solve mathematical problems.
- Apply problem solving and reasoning strategies to unfamiliar problems
Assignments / assessments
Bootcamp Online Test — 35%
- Computer-generated and marked online test using the Mobius platform.
- Students must achieve 60% or higher to pass and may retake the test as many times as they wish during the four-week test period.
Coursework 1 — 30%
- Individual take-home homework assignment covering topics from the first part of the module.
Coursework 2 — 35%
- Individual take-home homework assignment covering topics from the second part of the module.
This module does not have a final exam.
Teaching methods / timetable
- Lectures with demonstration of mathematical techniques and concepts
- Built-in tutorial sessions for practising analytical approaches and problem-solving