Questions
Syllabus
Qns. By Syllabus

Semester

Subject

Bachelors Level/Fourth Year/Seventh Semester/Science bit/seventh semester/simulation and modeling/syllabus

Bachelors In 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 [BIT407]
Course Objective
i.
To make students understand the concept of simulation and modeling of real time systems.
Course Description

This course focuses on introducing modeling and simulation of different types of systems, its validation, verification and analysis of simulation output. It also emphasizes on random number and queuing theory.

S1:Introduction to Simulation[7]
1
System Concept, System Modeling, Mathematical Models: Nature and Assumptions, Verification, Validation, and Calibration of Model, Model Development Life Cycle, Advantages and Disadvantages of Simulation, Limitation of the Simulation Techniques, Areas of Applications, Monte Carlo Simulation method
S2:Continuous Systems[8]
1
Continuous System Model, Differential Equation, Analog Method, Hybrid Computers, Digital Analog Simulators, Continuous System Simulation Languages (CSSLs), CSMP III, Hybrid Simulation, Feedback Systems, Examples
S3:Discrete System Simulation[9]
1
Discrete Events, Representation of Time, Generation of Arrival Patterns, Simulation of a Telephone System, Delay Calls, Simulation of Programming Tasks, Gathering Statistics, Counters and Summary Statistics, Measuring Utilization and Occupancy, Recording Distribution and Transit Times, Discrete Simulation Languages
S4:Queuing System[6]
1
Characteristics and Structure of Basic Queuing System, Models of Queuing System, Queuing Notation, Single Server and Multiple Server Queuing Systems, Measurement of Queuing System Performance, Elementary Idea about Networks of Queuing with Particular Emphasis to Computer System, Applications of Queuing System
S5: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
S6:Analysis of Simulation Output[4]
1
Confidence Intervals and Hypothesis Testing, Estimation Methods, Simulation Run Statistics, Replication of Runs, Elimination of Initial Bias
S7:Simulation Languages[7]
1
Types of Simulation Languages, Discrete Systems Modeling and Simulation With GPSS, Resources in GPSS, GPSS Programs, Applications, Structural Data and Control Statements, Hybrid Simulation, Feedback Systems : Typical Applications, SIMSCRIPT Programs
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, Prentice Hall of India
3.
A.M Law and W.D. Kelton, Simulation Modeling and Analysis, McGraw Hill.
4.
A.M Law and R.F. Perry, Simulation: A Problem-solving approach, Addison Wesley Publishing Company.
Labrotary Work
Practical should include the simulation of some real time systems (continuous and discrete event systems), Queuing Systems, study of Simulation Tools and Language