Course overview
This course aims to develop mathematical methods that apply to important problems in the life sciences, including population models, disease dynamics, pattern formation and cancer growth. These techniques will include ordinary differential equations, partial differential equations, and stochastic modelling.
- Deterministic models in biology
- Stochastic models in biology
Course learning outcomes
- Devise deterministic and stochastic mathematical models for biological systems.
- Apply analytical techniques to deterministic models described by ordinary and partial differential equations.
- Apply analytical and simulation techniques to stochastic models.
- Synthesise deterministic and stochastic approaches to modelling biological processes in the context of biochemical reaction networks and disease dynamics.
- Implement mathematical models for biological science using computational software (Julia).
- Interpret analytical and/or numerical solutions to mathematical models and contextualise the results with respect to the life sciences.
Availability
Class details
Mawson Lakes
Group 1
Class number 53531
Section WS01
Size 25
Available 21
Class number 53530
Section FR01
Size 25
Available 21
Adelaide City Campus East
Group 1
Class number 53533
Section WS01
Size 25
Available 11
Class number 53532
Section FR01
Size 42
Available 28
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