MTH3241 · Monash University
Random processes in the sciences and engineering
- Credit points
- 6
- Level
- 3
- Workload
- —
- Faculty
- Science
What it covers
This unit introduces the methods of stochastic processes and statistics used in the analysis of biological data, physics, economics and engineering. At the completion of the unit you will understand the application of classical techniques, such as Poisson processes, Markov chains, hidden Markov chains, random walks, martingale theory, birth and death processes, and branching processes in the analysis of DNA sequences, population genetics, dynamics of populations, telecommunications and economic analysis.
Assessment
| Task | Type | Weight |
|---|---|---|
| Continuous assessment | Demonstration | 50% |
| Final assessment - Exam (3 hours and 10 minutes) | Examination | 50% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On-campus |