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Curricular information is subject to change
Indicative Learning Outcomes:
On successful completion of this module, students should be able to:
• Understand key HPC concepts and how they are applied in scientific research.
• Devise parallel strategies to solve computational problems.
• Develop basic parallel applications using OpenMP and/or MPI.
• Leverage numerical, I/O libraries for better performing code.
Student Effort Type | Hours |
---|---|
Tutorial | 12 |
Autonomous Student Learning | 76 |
Online Learning | 12 |
Total | 100 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Assignment: Coding assignments | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 60 |
Class Test: Lab-based coding test | Unspecified | n/a | Standard conversion grade scale 40% | No | 30 |
Continuous Assessment: A maximum of 10% will be given for working on "In-class Exercises" throughout the trimester. There is 1% per In-class Exercise and a maximum of twelve will be given in total. | Throughout the Trimester | n/a | Pass/Fail Grade Scale | No | 10 |
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Buket Gursoy | Tutor |
Mr Jake Williams | Tutor |