Simulation (IE 305)

2021 Fall
Faculty of Engineering and Natural Sciences
Industrial Engineering(IE)
3
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Sinan Yıldırım -sinanyildirim@sabanciuniv.edu,
English
Undergraduate
MATH306
Formal lecture,Recitation
Interactive,Learner centered,Discussion based learning,Simulation
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CONTENT

Simulation Modeling and analysis of manufacturing and service systems; simulation modeling prospectives; discrete event and continuous simulation; simulation languages/ software; statistical aspects of simulation.

OBJECTIVE

By the end of this course, successful students should have learnt the principles of simulation, modelling, and statistical analysis for discrete event systems as well as the techniques and tools to apply those principles on a computer, in particular using the simulation software package ARENA.

LEARNING OUTCOME

Describe the principles of simulation modeling and analysis for discrete event systems
Identify probability distributions and perform statistical analysis of both input and output data
Construct the simulation model of a given system using the simulation software package ARENA

ASSESSMENT METHODS and CRITERIA

  Percentage (%)
Midterm 60
Exam 20
Participation 5
Group Project 15

RECOMENDED or REQUIRED READINGS

Textbook

Simulation With Arena, W. David Kelton, Randall P. Sadowski, and David
T. Sturrock, McGraw-Hill.

Discrete-event System Simulation, Jerry Banks, John Carson, Barry L.
Nelson, and David Nicol, Prentice Hall.

SUCourse: Lecture notes, recitation notes, Arena examples, past exams, announcements, etc.