Curricular information is subject to change.
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 Type | Hours |
|---|---|
| Lectures | 24 |
| Tutorial | 12 |
| Autonomous Student Learning | 72 |
| Total | 108 |
The prerequisites for ACM30140 are:
- a course in PDEs
- knowledge of coding in Python with Jupyter notebook
- knowledge of linux commands, and using the terminal to connect to servers.
| Description | Timing | Component Scale | % of Final Grade | ||
|---|---|---|---|---|---|
| Assignment(Including Essay): 6 Brightspace quizzes | Week 1, Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 | Alternative linear conversion grade scale 40% | No | 30 |
No |
| Exam (In-person): Class test | Week 6, Week 7 | Alternative linear conversion grade scale 40% | No | 20 |
No |
| Exam (In-person): End Of Semester Exam | End of trimester Duration: 2 hr(s) |
Alternative linear conversion grade scale 40% | No | 50 |
No |
| Resit In | Terminal Exam |
|---|---|
| Autumn | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
Not yet recorded.