CE885-7-AU-CO:
Mathematical Research Techniques Using Matlab
2025/26
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 02 October 2025
Friday 12 December 2025
15
07 April 2025
Requisites for this module
(none)
(none)
(none)
(none)
(none)
MSC H60112 Computer Networks and Security,
MSC H64112 5G and Emerging Communication Systems,
MSC GH64N1 Computer Systems Engineering,
MSC GH64N3 Computer Systems Engineering
This module provides students with a range of mathematical techniques to be applied to the solution of practical problems using MATLAB.
The aim of this module is:
- To provide students with an understanding of the principles of a range of mathematical techniques and how they can be applied to the solution of practical problems using the language MATLAB.
By the end of this module, students will be expected to be able to:
- Demonstrate the application of the MATLAB programming language to manipulating one-dimensional and multi-dimensional data.
- Design, program and evaluate the mathematical techniques introduced in this module.
- Critically evaluate the suitability and limitations of different techniques in MATLAB to solve the specific classes of practical problems.
Outline Syllabus
- Introduction to MATLAB.
- Numerical Matrix computation.
- Analysis and handling of functions of one variable including data fitting, interpolation, root finding and optimisation.
- Analysis of multi-dimensional data including data science techniques such as clustering and classification.
- Random numbers and Monte Carlo simulation.
This module will be delivered via:
- Lectures and Laboratories
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 |
Lab Test 1 - (in person, in lab, open book restricted) |
|
30% |
Coursework |
Progress Test In person, MCQ Moodle Test, Closed Book |
|
20% |
Coursework |
Lab Test 2 - (in person, in lab, open book restricted) |
|
20% |
Coursework |
Individual Data Analysis Implementation Project Report |
|
30% |
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 Haris Pervaiz, email: haris.pervaiz@essex.ac.uk.
Dr Haris Pervaiz
Graduate Office, ces-gradoffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872438
Yes
No
Yes
Dr Anthony Olufemi Tesimi Adeyemi-Ejeye
Available via Moodle
Of 2 hours, 2 (100%) hours available to students:
0 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s), module, or event type.
* Please note: due to differing publication schedules, items marked with an asterisk (*) base their information upon the previous academic year.
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