CSE 427: Computer Simulation and Modelling

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

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.

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:
  1. Simulation Modeling and Analysis (3rd Edition) by Law and Kelton
  2. Computer Simulation and Modelling by Francis Neelamkavil
  3. 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 4.00
F 00 - 44 4.00