First Cycle - Faculty of Engineering - Computer Engineering (English)
Y : Year of Study S : Semester
Course Unit Code Course Unit Title Type of Course Y S ECTS
IE381 Modeling and Discrete Simulation Compulsory 4 7 4
Objectives of the Course
Studying the methodologies used in discrete event systems simulation, as well as gaining experience in applying simulation principles to studying systems in order to effectively design and analyze them.
Name of Lecturer(s)
Learning Outcomes
1 Perform output analysis for a complete project on a real system.
2 Describe different variations of queuing models and develop computer simulations of such systems.
3 Demonstrate an understanding of system modeling through the competent use of Computer Simulation tools.
4 Develop and implementation of a simulation system.
5 Develop an understanding of the elements of designing a simulation system.
Mode of Delivery
Formal Education
Course Contents
Modeling and simulation Events, activities, processes Simulation software Review of probability and statistics Queueing models Generation of random numbers Generation of various distributions Input modeling Verification and validation Output analysis Evaluation alternative system design Simulation in Java Presentation of student projects
Weekly Detailed Course Contents
Week Theoretical Practice Laboratory
1 Introduction
2 Modeling and simulation
3 Events, activities, processes
4 Review of probability and statistics
5 Queueing models
6 Generation of random numbers
7 Generation of various distributions
8 Midterm exam
9 Input modeling
10 Verification and validation
11 Output analysis
12 Evaluation alternative system design
13 Simulation software
14 Variance reduction
15 Presentation of student projects
16 study week
17 Final exam
Recommended or Required Reading
Banks, Carson, Nelson, Nicol, Discrete-Event System Simulation, (4th Edition), Pearson 2005
Planned Learning Activities and Teaching Methods
Lecture Notes, Projects
Term (or Year) Learning Activities60
End Of Term (or Year) Learning Activities40
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Exam150
Quiz Exam115
Homework Exam335
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Exam1100
Language of Instruction
Work Placement(s)
Workload Calculation
Activities Number Time (hours) Total Work Load (hours)
Theoretical 3 14 42
Pre Class Self Study 1 14 14
Midterm Preparation 1 5 5
Final Preparation 1 15 15
Quiz Preparation 1 2 2
Home Work 1 12 12
Project 1 10 10
Total 9 72 100
Contribution of Learning Outcomes to Programme Outcomes
PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11PO 12PO 13PO 14PO 15PO 16
LO 10330000000000000
LO 20330000000000000
LO 30000000000300000
LO 42330200000000000
LO 50230300000000000
LO 60000000000000000
LO 70000000000000000
LO 80000000000000000
LO 90000000000000000
LO 100000000000000000