{"id":47,"title":"Computer Simulation and Modelling","credit_hour":"3","lecture_hour":"45","outcome":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n<ul>\r\n<li>Differentiate between dynamic and static models, discrete event and continuous-time systems.<\/li>\r\n<li>Define, explain, and discuss the fundamental elements of discrete-event simulation including analytical elements, random processes, random variates, and inputs to simulation.<\/li>\r\n<li>Analyse a real world problem, and apply modelling methodologies to develop a discrete-event simulation model.<\/li>\r\n<li>Interpret and contrast discrete-event techniques for implementing a solution to a simulation problem.<\/li>\r\n<\/ul>\r\n<\/body>\r\n<\/html>","description":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n<p style=\"text-align: justify;\">Fundamental concepts in modelling and simulation are explored in this course. An applied approach using practical examples will strengthen the techniques learned. Topics include: Statistical background for simulation; system reliability; mathematical description of general dynamic systems; discrete event; discrete time and continuous time; queuing models; effects of queue disciplines; factors affecting queue systems; implementation and management of models; performance evaluation of models; simulation languages; SLAM. Students entering the course should have a strong grasp of a high level programming language.<\/p>\r\n<\/body>\r\n<\/html>","books":"<!DOCTYPE html>\r\n<html>\r\n<head>\r\n<\/head>\r\n<body>\r\n<ol>\r\n<li><em>Simulation Modeling and Analysis (3rd Edition)<\/em> by Law and Kelton<\/li>\r\n<li><em>Computer Simulation and Modelling<\/em> by Francis Neelamkavil<\/li>\r\n<li><em>Discrete-Event System Simulation (5th edition)<\/em> by Jerry Banks, John Carson, Barry L. Nelson, David Nicol<\/li>\r\n<\/ol>\r\n<\/body>\r\n<\/html>","created_at":"2016-09-03 13:17:38","updated_at":"2016-09-03 13:17:38"} Details | Department of Computer Science and Engineering, IUB

CSE 427: Computer Simulation and Modelling

Offered Under: B.Sc. in Computer Science & Engineering (CSE)

Description

Fundamental concepts in modelling and simulation are explored in this course. An applied approach using practical examples will strengthen the techniques learned. Topics include: Statistical background for simulation; system reliability; mathematical description of general dynamic systems; discrete event; discrete time and continuous time; queuing models; effects of queue disciplines; factors affecting queue systems; implementation and management of models; performance evaluation of models; simulation languages; SLAM. Students entering the course should have a strong grasp of a high level programming language.

Prerequisites:

CSE 317 + Lab : Numerical Methods

Course Type	Major
Credit Hour	3
Lecture Hour	45

Expected Outcome(s):

Differentiate between dynamic and static models, discrete event and continuous-time systems.
Define, explain, and discuss the fundamental elements of discrete-event simulation including analytical elements, random processes, random variates, and inputs to simulation.
Analyse a real world problem, and apply modelling methodologies to develop a discrete-event simulation model.
Interpret and contrast discrete-event techniques for implementing a solution to a simulation problem.

Suggested Books:

Simulation Modeling and Analysis (3rd Edition) by Law and Kelton
Computer Simulation and Modelling by Francis Neelamkavil
Discrete-Event System Simulation (5th edition) by Jerry Banks, John Carson, Barry L. Nelson, David Nicol

Grading Policy:

Biweekly Quiz, One Midterm Exam, One Final Exam, Project

Letter Grade	Marks	Grade Point
A	90 - 100	4.00
A-	85 - 89	3.70
B+	80 - 84	3.30
B	75 - 79	3.00
B-	70 - 74	2.70
C+	65 - 69	2.30
C	60 - 64	2.00
C-	55 - 59	1.70
D+	50 - 54	1.30
D	45 - 49	1.00
F	00 - 44	0.00