Study information

# Engineering Mathematics and Scientific Computing - 2023 entry

MODULE TITLE CREDIT VALUE Engineering Mathematics and Scientific Computing 30 ENG1002 Dr Konstantinos Agathos (Coordinator)
DURATION: TERM 1 2 3
DURATION: WEEKS 12 12
 Number of Students Taking Module (anticipated) 200
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 21st century's engineers.

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 of the 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 could 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)

Discipline and Module Intended Learning Outcomes:

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

1 - manipulate complex algebraic expressions (including boolean algebra), functions and vectors

2 - demonstrate knowledge of analytical and numerical differentiation and integration

3 - solve ordinary differential equations

4 - demonstrate foundational knowledge of statistical and probabilistic techniques required for engineering

5 - manipulate matrices, and use them to solve systems of equations and simple eigenvalue problems

6 - demonstrate knowledge of the key principles of object orientated programme

7 - structure, write and test computer programmes to solve engineering mathematical task

8 - formulate engineering problems into mathematical statements

9 - understand the application of new mathematical methods in the context of real engineering problems

10 - demonstrate strong quantitative and problem-solving skills

11 - demonstrate a strong foundation in scientific computing in python

SYLLABUS PLAN - summary of the structure and academic content of the module
• Refresher Unit on Algebra
• Functions;
• Vectors;
• Differentiation;
• Integration;
• Ordinary Differential Equations;
• Matrices;
• Statistics and Probability for Engineers;
• Transformations - Fourier & Laplace.

LEARNING AND TEACHING
LEARNING ACTIVITIES AND TEACHING METHODS (given in hours of study time)
 Scheduled Learning & Teaching Activities Guided Independent Study Placement / Study Abroad 120 180 0
DETAILS OF LEARNING ACTIVITIES AND TEACHING METHODS
 Category Hours of study time Description Lecture 48 2 times 1 hours per week Laboratory 24 1 hour per week, computational practical Tutorials 24 1 hour per week Other 24 Weekly drop in sessions Independent study 180 Guided independent study

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 10 x Quizzes - Verbal

SUMMATIVE ASSESSMENT (% of credit)
 Coursework Written Exams Practical Exams 30 70 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 All Written or Verbal on request
Exam 70 2 exams, one after each term, January exam 1 hour; May/August exam 2 hours All 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
All above Exam (100% - 2 hours) All  Referral/Deferral Period

RE-ASSESSMENT NOTES

Reassessment will be by a single written exam only worth 100% of the module. For deferred candidates, the mark will be uncapped. For referred candidates, 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

ELE:

Web based and Electronic Resources:

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