IM31006 – Simulation

Credits: 3
Duration: One Semester (12–14 weeks)
Level: Undergraduate (Core)

A course outline and some supplementary material, like lecture notes and question papers, are put up here. The course outline described here is what I strive for (although I've never been able to completely adhere to the number of lecture hours). Based on the availability of time and interest of the students, the topics marked as bonus are covered. One of the topics marked as optional is covered based on the interest and proficiency of the students in the class.

Course Objectives

Components and concepts in Discrete event simulations
Design and implement simulation models using a programming language or simulation software.(Covered in Lab)
Analyze the output of simulation models using statistical techniques.
Apply simulation to solve real-world problems in manufacturing, logistics, and service systems.

Weekly Course Outline

Week	Topics	No. of Lectures	Assignments / Materials
1	Introduction to Simulation Types of simulation, Systems, Models	4	Reading: Banks et al., Ch. 1,2,3
2	Event Flow Logic and Time Avdance Algorithms	6	Numerical examples
3	Random Number Generation	4	Test 1
4	Random Variate Generation	5	NIL
5	Input Analysis	3	NIL
6	Output Analysis	3	NIL
7	Variance Reduction Techniques	1	NIL
8	Verification and Validation	1	NIL
9	Simulation of Industrial Engineering Systems	2	NIL
Bonus	Agent Based Models	2	Demonstration in Netlogo
Bonus	Systems Dynamics	2	Lab exercise
Optional	Queueing theory	3	Ref: Ross-Stochastic Processes
Optional	Probability basics	3	Ref: Ross-Stochastic Processes
Optional	Evolutionary games and Replicator dynamics	3	Ref: L.C. Thomas- Game Theory

Textbooks and References

Primary: Banks et al. – Discrete-Event System Simulation, 5th Ed., Pearson
Law, A. M. & Kelton– Simulation Modeling and Analysis, McGraw-Hill

Assessment Scheme

Component	Weight
Continuous Evaluation (Essays, Class tests)	20%
Midterm Exam	30%
Final Exam	50%

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