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Curricular information is subject to change
By the end of the module students should:
• Be familiar with a range of mathematical techniques used for modelling and analysing biological systems
• Have a good understanding of how maths can be used to understand and explore biological systems
• Be able to construct and interpret a set of ordinary differential equations to describe different biological scenarios
• Be comfortable simulating a mathematical model in Python
• Be able to critically analyse a scientific paper
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Tutorial | 12 |
Specified Learning Activities | 30 |
Autonomous Student Learning | 36 |
Total | 102 |
Students must take ACM30190 in the Autumn to register for this module in Spring. In addition, they should have taken ACM10060 or ACM10100 and ACM20150 prior to taking this course.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Examination: End of semester exam | 2 hour End of Trimester Exam | No | Standard conversion grade scale 40% | No | 50 |
Project: Research based project | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 30 |
Continuous Assessment: Assignments | Throughout the Trimester | n/a | Standard conversion grade scale 40% | No | 20 |
Resit In | Terminal Exam |
---|---|
Autumn | Yes - 2 Hour |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Peer review activities
Not yet recorded.
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Mon 12:00 - 12:50 |
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Tues 10:00 - 10:50 |
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Wed 13:00 - 13:50 |