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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 should have taken ACM10060 or ACM10100 and ACM20150 prior to taking this course. ACM20060 and ACM30190 are also highly recommended.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
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 | 30 |
Examination: End of semester exam | 2 hour End of Trimester Exam | No | Standard conversion grade scale 40% | No | 40 |
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 |