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Curricular information is subject to change
Knowledge and understanding of the subject
Indicative Module Content:Definition and examples; Markov property; transition probabilities; hitting times; recurrence and transience; harmonic functions and martingales; invariant distributions; reversible Markov chains; convergence to equilibrium.
Student Effort Type | Hours |
---|---|
Lectures | 30 |
Tutorial | 6 |
Autonomous Student Learning | 70 |
Total | 106 |
Not applicable to this module.
Resit In | Terminal Exam |
---|---|
Autumn | Yes - 2 Hour |
• Group/class feedback, post-assessment
Not yet recorded.
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Thurs 09:00 - 10:50 |
Lecture | Offering 1 | Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 | Tues 10:00 - 10:50 |