ENG1002 | 2025/6 | University of Exeter

MODULE TITLE	Engineering Mathematics and Scientific Computing	CREDIT VALUE	30
MODULE CODE	ENG1002	MODULE CONVENER	George Humby (Coordinator)

DURATION: TERM	1	2	3
DURATION: WEEKS	11	11

Number of Students Taking Module (anticipated)	280

DESCRIPTION - summary of the module content

This module introduces modern Engineering Mathematics by teaching maths alongside programming.

What you learn in this module will support mathematical content in core modules throughout your programme. You will be introduced to core mathematical tools for modelling Engineering systems which will be developed further in Year 2. You will learn about statistical methods of analysis that are vital tools for Engineers in the 21st century.

An elementary introduction to programming in Python will be provided which will equip you with valuable data processing and modelling skills. The teaching of Python will mirror mathematical content, building on knowledge of specialist packages for matrices, differential equations and statistics.

AIMS - intentions of the module

This module aims to provide you with all mathematical tools to tackle modern Engineering problems. It will allow you to develop strong quantitative skills, such that mathematical tools become second nature so you can focus directly on Engineering challenges and concepts. An important aspect of this is to provide a solid foundation in programming so that it will help you develop new ways of Engineering thinking and cutting-edge solutions to ever-changing societal challenges.

INTENDED LEARNING OUTCOMES (ILOs) (see assessment section below for how ILOs will be assessed)

Programmes that are accredited by the Engineering Council are required to meet Accreditation of Higher Education Programmes (AHEP4) Learning Outcomes. The following Engineering Council AHEP4 Learning Outcomes are covered on this module (shown in brackets):

Module Specific Skills and Knowledge:

Demonstrate foundational knowledge of linear algebra, calculus, differential equations, and statistics.
Demonstrate knowledge of the key principles of object orientated programming.

Discipline Specific Skills and Knowledge:

Formulate Engineering problems into mathematical statements (B2, B3, C2, C3, M2, M3).
Structure, write, and test computer programs to solve Engineering problems using mathematical tools (B3, C3, M3).

Personal and Key Transferable/ Employment Skills and Knowledge:

Demonstrate strong quantitative and problem-solving skills (B1, C1, M1).
Demonstrate a strong foundation in scientific computing using Python (B3, C3, M3).
Demonstrate key life-long learning skills, such as goal setting.

SYLLABUS PLAN - summary of the structure and academic content of the module

• Refresher Unit on Algebra

• Functions;

• Vectors;

• Complex Numbers;

• Matrices;

• Differentiation;

• Integration and Multiple Integration;

• Ordinary Differential Equations;

• Transformations - Fourier & Laplace.

• Statistics and Probability;

• Introduction to Python

LEARNING AND TEACHING

LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)

Scheduled Learning & Teaching Activities	116	Guided Independent Study	184	Placement / Study Abroad	0

DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS

Category	Hours of study time	Description
Scheduled Learning and Teaching activities	44 (2 hours per week)	Lectures
Scheduled Learning and Teaching activities	24 (1 hour per week)	Tutorials
Scheduled Learning and Teaching activities	24 (1 hour per week)	Workshops
Scheduled Learning and Teaching activities	24 (1 hour per week)	Drop-in sessions

ASSESSMENT

FORMATIVE ASSESSMENT - for feedback and development purposes; does not count towards module grade

Form of Assessment	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
Online quiz for each topic	11 x Quizzes	-	Verbal

SUMMATIVE ASSESSMENT (% of credit)

Coursework	30	Written Exams	70	Practical Exams	0

DETAILS OF SUMMATIVE ASSESSMENT

Form of Assessment	% of Credit	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
Coursework	30	2 Worksheets, 15-20 hours each	1-6 (B1, B2, B3, C1, C2, C3, M1, M2, M3)	Written or Verbal on request
Exam	70	2 exams, one after each term, January exam 1 hour 30 minutes; May exam 2 hours	1-6 (B1, B2, B3, C1, C2, C3, M1, M2, M3)	Written

DETAILS OF RE-ASSESSMENT (where required by referral or deferral)

Original Form of Assessment	Form of Re-assessment	ILOs Re-assessed	Time Scale for Re-assessment
Coursework	Coursework (2 Worksheets, 15-20 hours each, 30%)	1-6 (B1, B2, B3, C1, C2, C3, M1, M2, M3)	Referral/Deferral Period
Exam	Exam (2 hours, 70%)	1-6 (B1, B2, B3, C1, C2, C3, M1, M2, M3)	Referral/Deferral Period

RE-ASSESSMENT NOTES

Deferrals: Reassessment will be by coursework and/or exam in the deferred element only. For deferred candidates, the module mark will be uncapped.

Referrals: Reassessment will be by a single written exam worth 100% of the module. As it is a referral, the mark will be capped at 40%.

RESOURCES

INDICATIVE LEARNING RESOURCES - The following list is offered as an indication of the type & level of
information that you are expected to consult. Further guidance will be provided by the Module Convener

Other Resources:

Author	Title	Edition	Publisher	Year	ISBN
James, G	Modern Engineering Mathematics	5th	Pearson Education Limited.	2015
Stroud, K.A	Engineering Mathematics	7th	Palgrave Macmillan	2013	978-1-137-03120-4

Reading list for this module:

There are currently no reading list entries found for this module.

CREDIT VALUE	30	ECTS VALUE	15

PRE-REQUISITE MODULES	None
CO-REQUISITE MODULES	None

NQF LEVEL (FHEQ)	4	AVAILABLE AS DISTANCE LEARNING	No
ORIGIN DATE	Friday 28th February 2025	LAST REVISION DATE	Wednesday 16th April 2025

KEY WORDS SEARCH	Engineering mathematics, computer programming, probability, statistics, Python

Engineering Mathematics and Scientific Computing - 2025 entry