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ModsMH3512AY2015/2016 Semester 1

Stochastic Processes

AY2015/2016 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

AUs4.0 AUs
CategoriesCoreMinorsBDE
Not Available To ProgrammeMAEC(2004-2010), MATH(2004-2010)
Mutually Exclusive WithMAS328, MTH354
Exam

Available Indexes

MonTueWedThuFri
1130

COMMON LEC (LE)

1130-1230 Fri

SPMS-LT1

1200
1230
1300
1330

COMMON LEC (LE)

1330-1530 Wed

SPMS-LT1

1400
1430
1500
1530

71900 TUT (T)

1530-1630 Wed

SPMS-LT1

Wk2-13

71901 TUT (T)

1530-1630 Wed

SPMS-LT1

Wk2-13

1600