Not offered in the current semester · Last offered AY2014/2015 Semester 1
The objective of this course is to introduce modeling dependence. * Discrete-time Markov chains, examples of discrete-time Markov chains, classification of states, irreducibility, periodicity, first passage times, recurrence and transience, convergence theorems and stationary distributions * Random walk, Poisson processes
| AUs | 4.0 AUs |
| Grade Type | |
| Prerequisite | MAS215, MTH214 |
| Not Available To Programme | MAEC(2004-2009), MAEC(2011-onwards), MATH(2004-2009), MATH(2011-onwards) |
| Not Available To All Programme With | |
| Not Available As BDE/UE To Programme | |
| Not Available As Core To Programme | |
| Not Available As PE To Programme | |
| Mutually Exclusive With | MAS328, MH3512 |
| Not Offered As BDE | Yes |
| Not Offered As Unrestricted Elective | |
| Exam |
Total hours per week: 4 hrs
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
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| 930 | |||||
| 1000 | |||||
| 1030 | |||||
| 1100 | |||||
| 1130 | |||||
| 1200 | |||||
| 1230 | |||||
| 1300 | |||||
| 1330 | |||||
| 1400 | |||||
| 1430 | |||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | |||||
| 1700 | |||||
| 1730 | |||||
| 1800 |