ACM30140 Numerical Methods for PDEs

Academic Year 2023/2024

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.

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Curricular information is subject to change

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
Class Test: In-class written test. Unspecified n/a Standard conversion grade scale 40% No

20
Examination: End of Trimester Exam 2 hour End of Trimester Exam No Standard conversion grade scale 40% No

50
Continuous Assessment: Short Brightspace Quizzes Throughout the Trimester n/a Standard conversion grade scale 40% No

30

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.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 
Spring
      
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Fri 16:00 - 16:50
Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Mon 15:00 - 15:50
Tutorial Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 16:00 - 16:50
Spring