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Module Detailed Information for [DSC3215]
Academic Year : 2017/2018 Semester : 2
Correct as at 11 Dec 2018 05:00

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Module Information
Module Code :
Module Title : Stochastic Models In Management
Module Description : This module introduces students to management science models that characterise random phenomena in real world applications, particularly in the field of finance and operations management. We start with elementary probabilistic models and illustrate their applications in inventory management and financial engineering. We then construct discrete Markov chain models and demonstrate their applications in managing queues and for evaluating the performance measures of queueing systems. When analytical models are inadequate for studying real world random phenomena, simulation might be a feasible approach. We will discuss several well-known methods to simulate randomness.
Module Examinable : -
Exam Date : No Exam Date.
Modular Credits : 4
Pre-requisite : DSC1007/DSC1007X or ST2131 or ST2334
Preclusion : Nil
Module Workload (A-B-C-D-E)* : 0-3-0-3-4
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.
No Tutorial Class or to be announced. Please check with the department offering this module.

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