Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İST309SIMULATIONElective354
Level of Course Unit
First Cycle
Objectives of the Course
The aim of this course is to teach students how various statistical experiments and applications can be done in a computerized environment and to gain the ability of analyzing their own problems by writing code.
Name of Lecturer(s)
Öğr. Grv. Dr. Aslı KILIÇ
Learning Outcomes
1To understand basic consept and definitions
2To be able to have simulation knowledge
3To be able to have the knowledge about system simulation
4To be able to make simulation for single and multi canaled systems
5To be able to generate random numbers from some distribution models
6The knowledge and the ability of designing algorithm
7The knowledge and the ability of writing computer program
8To be able to understand and interprete program output results
Mode of Delivery
Face to Face
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
The necessity of simulation and its application areas, simulation methods, generating random numbers from some distribution models, simulation in statistics, simulation of some statistical concepts and experiments on computer, system simulation, single-channel and multi-channel systems and their simulation.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Definition of simulation, its necessity, and its application areas, general information related to the mathematical modeling and simulation of some events.
2Algorithm design: Applications related to conditional statements and loops
3Algorithm design: Applications related to arrays and matrices.
4Random number generation: Discrete distributions
5Random number generation: Continuous distributions
6Simulation examples for some random experiments
7Observing some statistical concepts on computer through simulation.
8Midterm exam
9Applications related to limit theorems
10System simulation and waiting line models
11Single-channel systems
12Single-channel systems
13Multi-channel systems
14Multi-channel systems
15Simulation programs for various examples
16Final exam
Recommended or Required Reading
Statistical Modeling and Decision Science : Simulation, Sheldon M. Ross, Academic Press, 2006 Matematiksel Modelleme ve Simulasyon, Fikri Öztürk ve Levent Özbek, Gazi Kitabevi, 2004.
Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
SUM0
Language of Instruction
English
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination122
Final Examination122
Makeup Examination122
Attending Lectures14342
Problem Solving14228
Self Study14114
Individual Study for Mid term Examination818
Individual Study for Final Examination818
Performance14114
TOTAL WORKLOAD (hours)120
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
Ege University, Bornova - İzmir / TURKEY • Phone: +90 232 311 10 10 • e-mail: intrec@mail.ege.edu.tr