CE262-5-AU-CO:
Engineering Mathematics
2024/25
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Undergraduate: Level 5
Current
Thursday 03 October 2024
Friday 13 December 2024
15
27 June 2024
Requisites for this module
CE142
(none)
(none)
(none)
CE223, CE269
BENGH610 Electronic Engineering,
BENGH611 Electronic Engineering (Including Year Abroad),
BENGH61P Electronic Engineering (Including Foundation Year),
BENGHP10 Electronic Engineering (Including Placement Year),
MENGH613 Electronic Engineering,
MENGH614 Electronic Engineering (Integrated Masters, Including Placement Year),
BENGH641 Communications Engineering,
BENGHP41 Communications Engineering (Including Foundation Year),
BENGHPK1 Communications Engineering (Including Placement Year),
BENGHQ41 Communications Engineering (Including Year Abroad),
BENGH615 Robotic Engineering,
BENGH616 Robotic Engineering (Including Year Abroad),
BENGH617 Robotic Engineering (Including Placement Year),
BENGH618 Robotic Engineering (Including Foundation Year),
BSC H631 Electronics,
BSC H632 Electronics (Including Year Abroad),
BSC H633 Electronics (Including Placement Year),
BENGH730 Mechatronic Systems,
BENGH731 Mechatronic Systems (Including Year Abroad),
BENGH732 Mechatronic Systems (Including Placement Year),
BENGH733 Mechatronic Systems (Including Foundation Year),
BSC H737 Mechatronics,
BSC H738 Mechatronics (including Placement Year),
BSC H739 Mechatronics (including Year Abroad),
BSC H717 Robotics,
BSC H718 Robotics (including Placement Year),
BSC H719 Robotics (including Year Abroad)
The module develops key mathematical skills that can be applied throughout Engineering. Subjects include integral transform and probability theory, developed in the context of concrete engineering problems in signal processing, circuit theory, reliability, and communication networks. The module will be exemplified using MATLAB.
The aim of this module is:
- To introduce a number of concepts including: the spectrum of a signal; Fourier and Laplace transforms; simple probabilities; statistics and a variety of distributions.
By the end of this module, students will be expected to be able to:
- Describe the concept of the spectrum of a signal.
- Find Fourier and Laplace transforms of simple time functions.
- Find inverse Laplace transforms using partial fractions.
- Calculate probabilities and conditional probabilities in simple examples.
- Evaluate statistics such as mean and variance for a distribution.
- Use a variety of distributions (uniform, binomial, Poisson, geometric, exponential, Gaussian) to model random phenomena.
Outline Syllabus
- Integral transforms: The complex exponential form for Fourier series. Fourier and Laplace transforms, and their application to simple waveforms.
- Properties: (linearity, scaling, time-shift, frequency shift, derivatives and integrals). Application to first and second order circuits and systems. Poles and zeros. Inverse transforms. Integral methods and partial fractions. Effects of feedback. Visualisation with Matlab.
- Probability: Outcomes, sample spaces and events. Relative frequencies and probabilities. Conditional probabilites and independence. Random variables, mean and variance.
- Discrete distributions: uniform, binomial Poisson and geometric. Continuous distributions: exponential and Gaussian. The concept of a stochastic process. Reliability. Simulation with Matlab.
This module will be delivered via:
- Lectures,
- Labs and
- Classes
This module does not appear to have a published bibliography for this year.
Assessment items, weightings and deadlines
Coursework / exam |
Description |
Deadline |
Coursework weighting |
Coursework |
Weekly Moodle Questions |
|
15% |
Coursework |
Lab Competence Exercise |
15/11/2024 |
35% |
Coursework |
Final Assignment & Report - Probability, Fourier, Laplace Transform and MatLab |
10/01/2025 |
50% |
Exam |
Main exam: In-Person, Open Book (Restricted), 120 minutes during Summer (Main Period)
|
Exam |
Reassessment Main exam: In-Person, Open Book (Restricted), 120 minutes during September (Reassessment Period)
|
Exam format definitions
- Remote, open book: Your exam will take place remotely via an online learning platform. You may refer to any physical or electronic materials during the exam.
- In-person, open book: Your exam will take place on campus under invigilation. You may refer to any physical materials such as paper study notes or a textbook during the exam. Electronic devices may not be used in the exam.
- In-person, open book (restricted): The exam will take place on campus under invigilation. You may refer only to specific physical materials such as a named textbook during the exam. Permitted materials will be specified by your department. Electronic devices may not be used in the exam.
- In-person, closed book: The exam will take place on campus under invigilation. You may not refer to any physical materials or electronic devices during the exam. There may be times when a paper dictionary,
for example, may be permitted in an otherwise closed book exam. Any exceptions will be specified by your department.
Your department will provide further guidance before your exams.
Overall assessment
Reassessment
Module supervisor and teaching staff
Dr Sangeet Saha, email: sangeet.saha@essex.ac.uk.
Dr Sangeet Saha
School Office, email: csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770(non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
No
No
Yes
Prof Sandra Dudley
London South Bank University
Professor of Communication Systems
Available via Moodle
Of 36 hours, 18 (50%) hours available to students:
18 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.
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