2021/22 Undergraduate Module Catalogue
XJEL1703 Algorithms and Numerical Mathematics
10 creditsClass Size: 75
Module manager: Dr. Dragan Indjin
Taught: Semester 1 (Sep to Jan) View Timetable
Year running 2021/22
This module is not approved as a discovery module
Module summaryThe teaching and assessment methods shown below will be kept under review during 2021-22. If it is not possible to deliver traditional teaching methods, such as lectures and practical classes, we may need to substitute alternative (online) formats of delivery and amend the timetable accordingly. ‘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.
ObjectivesThis module introduces students to the concepts of logical algorithm design and numerical mathematics, and the application of logical algorithms to solve numerical mathematics problems.
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.
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
|Delivery type||Number||Length hours||Student hours|
|Private study hours||68.00|
|Total Contact hours||32.00|
|Total hours (100hr per 10 credits)||100.00|
Private studyStudents 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 FeedbackStudents 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
|Assessment type||Notes||% of formal assessment|
|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 listThere is no reading list for this module
Last updated: 29/06/2021 16:47:30
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