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ACM30140

Academic Year 2023/2024

Numerical Methods for PDEs (ACM30140)

Subject:
Applied & Computational Maths
College:
Science
School:
Mathematics & Statistics
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Dr Conor Sweeney
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module introduces the methods and underlying theory used in the numerical solution of partial differential equations (PDEs). The finite difference method will be used to find solutions to the heat equation (parabolic PDE), wave equation (hyperbolic PDE) and Laplace equation (elliptic PDE). The module will then discuss the finite element method for finding approximate solutions to PDEs.

About this Module

Learning Outcomes:

On completion of this module, students should be able to:
- Apply the finite difference method to solve PDEs
- Ensure that PDEs are well-posed
- Ensure that FDE solution is stable
- Apply the finite element method to solve PDEs

Student Effort Hours:
Student Effort Type Hours
Lectures

24

Tutorial

12

Autonomous Student Learning

72

Total

108


Approaches to Teaching and Learning:
Lectures and tutorials.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Continuous Assessment: Short Brightspace Quizzes Throughout the Trimester n/a Standard conversion grade scale 40% No
30
No
Class Test: In-class written test. Unspecified n/a Standard conversion grade scale 40% No
20
No
Examination: End of Trimester Exam 2 hour End of Trimester Exam No Standard conversion grade scale 40% No
50
No

Carry forward of passed components
No
 

Resit In Terminal Exam
Autumn Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Chris Howland Lecturer / Co-Lecturer