Questions
Syllabus
Qns. By Syllabus

Semester

Subject

Bachelors Level/Third Year/Fifth Semester/Science csit/fifth semester/simulation and modeling/syllabus

B.Sc Computer Science and Information Technology

Institute of Science and Technology, TU

Nature of the course: (Theory+Lab)

F.M: 60+20+20 P.M: 24+8+8

Credit Hrs: 3Hrs

Simulation and Modeling [CSC328]
Course Objective
i.
To make students understand the concept of simulation and modeling of real time systems.
Course Description

The syllabus consists of introduction to system, modeling and simulation of different types of systems. It includes the modeling of systems, its validation, verification and analysis of simulation output. It comprises the concept of queuing theory, random number generation as well as study of some simulation languages

S1:Introduction to Simulation[6]
1
System and System Environment, Components of System, Discrete and Continuous System, System Simulation, Model of a System, Types of Model, Use of Differential and Partial differential equations in Modeling, Advantages, Disadvantages and Limitations of Simulation, Application Areas, Phases in Simulation Study
S2:Simulation of Continuous and Discrete System[7]
1
Continuous System Models, Analog Computer, Analog Methods, Hybrid Simulation, Digital Analog Simulators, Feedback Systems
2
Discrete Event Simulation, Representation of time, Simulation Clock and Time Management, Models of Arrival Processes - Poisson Processes, Non-stationary Poisson Processes, Batch Arrivals; Gathering statistics, Probability and Monte Carlo Simulation
S3:Queuing System[6]
1
Characteristics and Structure of Basic Queuing System, Models of Queuing System, Queuing notation, Single server and Multiple server Queueing Systems, Measurement of Queueing System Performance, Elementary idea about networks of Queuing with particular emphasis to computer system, Applications of queuing system
S4:Markov Chains[2]
1
Features, Process Examples, Applications
S5:Random Numbers[7]
1
Random Numbers and its properties, Pseudo Random Numbers, Methods of generation of Random Number, Tests for Randomness - Uniformity and independence, Random Variate Generation
S6:Verification and Validation[4]
1
Design of Simulation Models, Verification of Simulation Models, Calibration and Validation of the models, Three-Step Approach for Validation of Simulation Models, Accreditation of Models
S7:Analysis of Simulation Output[4]
1
Confidence Intervals and Hypothesis Testing, Estimation Methods, Simulation run statistics, Replication of runs, Elimination of initial bias
S8:Simulation of Computer Systems[9]
1
Simulation Tools, Simulation Languages: GPSS, Case Studies of different types of Simulation Models and Construction of sample mathematical models
References
1.
Jerry Banks, John S. Carson, Barry L. Nelson, David M. Nicole, “Discrete Event system simulation”, 5th Edition, Pearson Education
2.
Geoffrey Gordon: System Simulation
3.
Law, "Simulation Modeling and Analysis", 5th Edition, McGraw-Hill
Labrotary Work
Practical should include the simulation of some real time systems (continuous and discrete event systems), Queuing Systems, Random Number generations as well as study of Simulation Tools and Language