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2021/22 Undergraduate Module Catalogue

ELEC1703 Algorithms and Numerical Mathematics

10 creditsClass Size: 140

Module manager: Dr. Dragan Indjin
Email: d.indjin@leeds.ac.uk

Taught: Semester 1 (Sep to Jan) View Timetable

Year running 2021/22

This module is mutually exclusive with

ELEC1701Introduction to Engineering Mathematics

This module is not approved as a discovery module

Module summary

The teaching and assessment methods shown below will be kept under review during 2021-22. In particular, if conditions allow for alternative formats of delivery, we may amend the timetable and schedule appropriate classes in addition to (or in place of) any online activities/sessions. Where learning activities are scheduled to take place on campus, it may be possible and/or necessary for some students to join these sessions remotely. Some of the listed contact hours may also be optional surgeries. Students will be provided with full information about the arrangements for all of these activities by the module staff at the beginning of the teaching semester.‘Independent online learning’ may involve watching pre-recorded lecture material or screen-casts, engaging in learning activities such as online worked examples or mini-projects, etc. Students will be expected to fully engage with all of these activities. The time commitment for independent online learning, and also the frequency and duration of online sessions are approximate and intended as a guide only. Further details will be confirmed when the module commences.Where assessments are shown as Online Time-Limited Assessments, the durations shown are indicative only. The actual time permitted for individual assessments will be confirmed prior to the assessments taking place.

Objectives

This module introduces students to the concepts of logical algorithm design and numerical mathematics, and the application of logical algorithms to solve numerical mathematics problems.


Learning outcomes
On completion of this module students should be able to:

1. Design simple algorithms to perform logical and numerical operations.
2. Apply numerical methods for differentiation, integration, curve fitting and root finding.
3. Use Matlab functions and the Matlab programming language to implement numerical solutions to well-defined problems.
4. Use numerical methods to solve simple matrix problems.



Syllabus

Topics may include, but are not limited to:

Introduction to the logic of programming and program structure
Standard conditional program clauses
Arrays and matrices
Array handling in Matlab
Algorithm design to solve numerical problems
Numerical integration: trapezium and Simpson’s rules
Numerical differentiation: finite difference method
Interpolation, curve-fitting and root-finding
Introduction to variational methods

Teaching methods

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information

Delivery typeNumberLength hoursStudent hours
On-line Learning81.008.00
On-line Learning82.0016.00
Laboratory81.008.00
Independent online learning hours22.00
Private study hours46.00
Total Contact hours32.00
Total hours (100hr per 10 credits)100.00

Private study

Students are expected to use private study time to consolidate their understanding of course materials, to undertake preparatory work for seminars, workshops, tutorials, examples classes and practical classes, and also to prepare for in-course and summative assessments.


Opportunities for Formative Feedback

Students studying ELEC modules will receive formative feedback in a variety of ways, including the use of self-test quizzes on Minerva, practice questions/worked examples and (where appropriate) through verbal interaction with teaching staff and/or post-graduate demonstrators.

Methods of assessment

Due to COVID-19, teaching and assessment activities are being kept under review - see module enrolment pages for information


Coursework
Assessment typeNotes% of formal assessment
AssignmentAssignment 130.00
AssignmentAssignment 270.00
Total percentage (Assessment Coursework)100.00

Resits for ELEC and XJEL modules are subject to the School's Resit Policy and the Code of Practice on Assessment (CoPA), which are available on Minerva. Students should be aware that, for some modules, a resit may only be conducted on an internal basis (with tuition) in the next academic session.

Reading list

There is no reading list for this module

Last updated: 29/06/2021 16:47:29

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