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Curricular information is subject to change
On successful completion of this module, students will be able to:
- explain the physical processes which drive the weather and climate
- describe the way computer models simulate weather and climate
- create weather forecasts using an NWP model on a compute cluster
- analyse and visualise weather and climate data using python
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Computer Aided Lab | 12 |
Autonomous Student Learning | 70 |
Total | 106 |
Not applicable to this module.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Project: Individual project | Varies over the Trimester | n/a | Standard conversion grade scale 40% | No | 20 |
Class Test: Two in-class written tests | Varies over the Trimester | n/a | Standard conversion grade scale 40% | No | 50 |
Continuous Assessment: Online quizzes | Varies over the Trimester | n/a | Standard conversion grade scale 40% | No | 30 |
Remediation Type | Remediation Timing |
---|---|
In-Module Resit | Prior to relevant Programme Exam Board |
• Feedback individually to students, post-assessment
• Online automated feedback
Not yet recorded.