Mathematical Research Techniques Using Matlab
Computer Science and Electronic Engineering (School of)
Postgraduate: Level 7
Thursday 03 October 2019
Saturday 14 December 2019
08 May 2019
Requisites for this module
MSC N30312 Computational Finance,
MSC H64112 Global Communication Systems,
MENGH642 Communications 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.
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.
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.
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
||Lab Test - Week 5
||Progress Test (MCQ) - Week 7
||Lab Test - week 11
||Assignment 1 - Report on practical exercise
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
Dr Rong Qu
The University of Nottingham
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).
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