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MODULE TITLE	Mathematics for Engineers	CREDIT VALUE	15
MODULE CODE	ENG1201DA	MODULE CONVENER	Unknown

DURATION: TERM	1	2	3
DURATION: WEEKS	4	4	0

Number of Students Taking Module (anticipated)	25

DESCRIPTION - summary of the module content

Learning to think and express yourself in mathematical terms is an essential part of your becoming an engineer who is able to describe engineering processes and systems to solve problems. This module will help you develop the mathematical skills necessary to complete your engineering degree programme. In particular, there will be a strong emphasis on the direct application of mathematics to industrial engineering problems. Furthermore, you will learn to use programming (Python) as a means to model mathematical problems and implement computational solutions.

AIMS - intentions of the module

This module will cover topics which are fundamental to engineers in their professional careers, focussing on the direct application of mathematics to industrial engineering problems. You will develop a knowledge and understanding of mathematical principles necessary to underpin your education in a number of engineering disciplines, and to enable you to apply mathematical methods, tools and notations proficiently in the analysis and solution of engineering problems. Furthermore, this module will improve your understanding of engineering principles and the ability to apply them to analyse key engineering processes. It will also enhance your ability to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques. Finally, it will increase your understanding and ability to apply a systems approach to engineering problems.

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

Discipline and Module Intended Learning Outcomes:

On successful completion of this module you should be able to:

Module Specific Skills and Knowledge:

1 demonstrate skills in algebraic manipulation

2 recognise trigonometric, exponential, logarithmic and hyperbolic functions, and solve equations involving these functions

3 use differentiation to solve maximum and minimum problems

4 use vector algebra to analyse problems involving lines and planes, apply the scalar (dot) product and vector (cross) product to vectors

5 demonstrate an understanding of the basic concepts of probability and hypothesis testing

Discipline Specific Skills and Knowledge:

6 use computer programming (Python) to solve a mathematical problem.

Personal and Key Transferable / Employment Skills and Knowledge:

7 apply mathematical principles to systematically analyse problems

8 extract the essential mathematics from real-world problems and to begin to be able to model such problems in familiar mathematical language

9 communicate mathematical concepts and processes coherently, both orally and in writing, using correct notation

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

algebra and functions
vector algebra
differential calculus and applications
integration - introduction
statistics and regression
introduction to programming in Python (in all the above areas)

LEARNING AND TEACHING

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

Scheduled Learning & Teaching Activities	64.00	Guided Independent Study	18.00	Placement / Study Abroad	68.00

DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS

Category	Hours of study time	Description
Scheduled learning and teaching activities	24	Lectures
Scheduled learning and teaching activities	24	Tutorials
Scheduled learning and teaching activities	16	Laboratory (Coding)
Guided independent study	18	Lecture and assessment preparation, private study
Placement	71	Learning at work

ASSESSMENT

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

Form of Assessment	ILOs Assessed	Feedback Method
Tutorial Worksheets	1-5, 7-9	Informal feedback provided in tutorials

SUMMATIVE ASSESSMENT (% of credit)

Coursework	40	Written Exams	60	Practical Exams	0

DETAILS OF SUMMATIVE ASSESSMENT

Form of Assessment	% of Credit	Size of Assessment (e.g. duration/length)	ILOs Assessed	Feedback Method
Written exam - closed book	60	2 hours	1-5, 7-9	Annotated Scripts
Coursework 1 - Take Home Questions	15	1 x 9 hours	1-5, 7-9	Annotated Scripts + Oral
Coursework 2 - Online Python test	5	1 x 3 hours	6	Annotated Scripts + Oral
Coursework 3 - Take Home Coursework	20	1 x 12 hours	6-9	Oral + 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
Written exam - closed book	Written Exam (60%)	1-5, 7-9	Referral/deferral period
Coursework 1 - Take Home Questions	Take home Question Coursework (15%)	1-5, 7-9	Referral/deferral period
Coursework 2 - Online Python test	Coursework 2 (Similar) (5%)	6	Referral/deferral period
Coursework 3 - Take Home Coursework	Take home Question Coursework (20%)	6 - 9	Referral/deferral period

RE-ASSESSMENT NOTES

Deferral – if you have been deferred for any assessment you will be expected to submit the relevant assessment. The mark given for a re-assessment taken as a result of deferral will not be capped and will be treated as it would be if it were your first attempt at the assessment.

Referral – if you have failed the module overall (i.e. a final overall module mark of less than 40%) you will be expected to submit the relevant assessment.. The mark given for a re-assessment taken as a result of referral 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

Basic reading:

ELE: http://vle.exeter.ac.uk/

Web based and Electronic Resources:

Other Resources:

Reading list for this module:

Type	Author	Title	Edition	Publisher	Year	ISBN	Search
Set	Stroud, K.A	Engineering Mathematics	7th	Palgrave Macmillan	2013	978-1-137-03120-4	[Library]

CREDIT VALUE	15	ECTS VALUE	7.5

PRE-REQUISITE MODULES	None
CO-REQUISITE MODULES	None

NQF LEVEL (FHEQ)	4	AVAILABLE AS DISTANCE LEARNING	No
ORIGIN DATE	Monday 06 March 2017	LAST REVISION DATE	Wednesday 04 October 2023

KEY WORDS SEARCH	Differentiation; trigonometry; Python; vectors; statistics

ENG1201DA - Mathematics for Engineers (2023)