CE885-7-AU-CO:
Mathematical Research Techniques Using Matlab

The details
2019/20
Computer Science and Electronic Engineering (School of)
Colchester Campus
Autumn
Postgraduate: Level 7
Current
Thursday 03 October 2019
Saturday 14 December 2019
15
08 May 2019

 

Requisites for this module
(none)
(none)
(none)
(none)

 

(none)

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

Bibliography

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%

Reassessment

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

 

Availability
No
No
Yes

External examiner

Dr Rong Qu
The University of Nottingham
Associate Professor
Resources
Available via Moodle
Of 41 hours, 11 (26.8%) hours available to students:
30 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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