Mathematical Research Techniques Using Matlab

The details
Computer Science and Electronic Engineering (School of)
Colchester Campus
Postgraduate: Level 7
Thursday 03 October 2019
Saturday 14 December 2019
08 May 2019


Requisites for this module



Key module for

MSC N30312 Computational Finance,
MSC H64112 Global Communication Systems,
MENGH642 Communications Engineering

Module description

This module provides students with a range of mathematical techniques to be applied to the solution of practical problems using MATLAB.

Module aims

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.

Module learning outcomes

After completing this module, students will be expected to be able to:

1. Demonstrate an understanding of MATLAB language.
2. Demonstrate an understanding of mathematical techniques introduced in this module.
3. Apply these techniques in MATLAB to solve practical problems.

Module information

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.

Learning and teaching methods

Lectures and Laboratories


This module does not appear to have any essential texts. To see non-essential items, please refer to the module's reading list.

Assessment items, weightings and deadlines

Coursework / exam Description Deadline Weighting
Coursework   Lab Test - Week 5    10% 
Coursework   Progress Test (MCQ) - Week 7    10% 
Coursework   Lab Test - week 11    30% 
Coursework   Assignment 1 - Report on practical exercise  06/11/2019  25% 
Coursework   Assignment 2  22/01/2020  25% 

Overall assessment

Coursework Exam
100% 0%


Coursework Exam
100% 0%
Module supervisor and teaching staff
Dr Daniel Karapetyan, email: dkarap@essex.ac.uk.
Dr Daniel Karapeytan
Graduate Office, ces-gradoffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872438



External examiner

Dr Rong Qu
The University of Nottingham
Associate Professor
Dr Marios Angelopoulos
Bournemouth University
Principal Academic
Available via Moodle
Of 40 hours, 11 (27.5%) hours available to students:
29 hours not recorded due to service coverage or fault;
0 hours not recorded due to opt-out by lecturer(s).


Further information

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