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Module Detailed Information for [IE2100E]
Academic Year : 2017/2018 Semester : 2
Correct as at 22 Jan 2019 05:00

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Module Information
Module Code :
Module Title : Probability Models with Applications
Module Description : The module builds upon the foundation in ST2131/TS2120/IE2120E and stresses on applications of stochastic modeling. Topics include: Review of exponential distribution; Conditional probability and conditional expectation; Discrete time Markov chains; Poisson process; Basic queuing models and continuous time Markov chains and Renewal theory. The emphasis of this course will be on model formulation and probabilistic analysis. Students will eventually be conversant with the properties of these models and appreciate their roles in engineering applications.
Module Examinable : -
Exam Date : 08-05-2019 AM
Modular Credits : 4
Pre-requisite : NIL
Preclusion : DSC3215, TIE2100
Module Workload (A-B-C-D-E)* : 3-1-0-3-3
Remarks : Nil
* A: no. of lecture hours per week
B: no. of tutorial hours per week
C: no. of laboratory hours per week
D: no. of hours for projects, assignments, fieldwork etc per week
E: no. of hours for preparatory work by a student per week

Lecture Time Table
Class TypeWeek TypeWeek DayStartEndRoom

Tutorial Time Table
Attention: The tutorial timetables could be updated from time to time. Students are advised to check regularly for the latest update on the change of tutorial timing.
Class TypeWeek TypeWeek DayStartEndRoom Iteration
Available in Tutorial Balloting [Iteration 9].
Available in Tutorial Balloting [Iteration 9].
Available in Tutorial Balloting [Iteration 9].

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