Course Name Code Semester T+U Hours Credit ECTS
System Simulation BSM 463 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi ABDULLAH SEVİN
Course Lecturers Dr.Öğr.Üyesi ABDULLAH SEVİN,
Course Assistants
Course Category
Course Objective

Providing skills of system analysis, modelling and interpretation behavior for computer enginnering students

 

Course Content

Introduction to Simulation and Basic Concepts, Simulation Model Structure and Types, Random Number and Variable generation and Testing, Data analysis and validity Tests, Simulation in Queuing and Network Systems, Simulation Software

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Teaches System, Model and Simulation concepts and relations Lecture, Question-Answer, Testing, Homework, Project / Design,
2 Teaches the techniques of generating random numbers and random values Lecture, Drilland Practice, Testing, Homework, Project / Design,
3 Teaches the basic elements of the simulation model and setup. Lecture, Drilland Practice, Demonstration, Simulation, Testing, Homework, Project / Design,
4 Gives the ability to model verification, testing and analysis. Lecture, Drilland Practice, Case Study, Testing, Homework, Project / Design,
5 Teaches the modeling of queuing and networking systems. Lecture, Discussion, Drilland Practice, Demonstration, Role Playing, Simulation, Brain Storming, Testing, Homework, Project / Design,
6 Teaches simulation validity tests. Lecture, Discussion, Drilland Practice, Demonstration, Role Playing, Simulation, Brain Storming, Testing, Homework, Project / Design,
7 Gain necessary statistical knowledge in simulation model. Lecture, Drilland Practice, Case Study, Lab / Workshop, Testing, Homework, Project / Design,
8 Teaches simulation software techniques. Lecture, Drilland Practice, Demonstration, Motivations to Show, Group Study, Simulation, Case Study, Project Based Learning, Testing, Homework, Project / Design,
Week Course Topics Preliminary Preparation
1 INTRODUCTION TO SIMULATION AND BASIC CONCEPTS
2 SIMULATION MODEL STRUCTURES AND STAGES
3 DISCRETE EVENT SIMULATION AND MODELING STRUCTURES
4 SIMULATION SAMPLES
5 SIMULATION SOFTWARE
6 OBJECT ORIENTED SIMULATION SOFTWARE
7 INTRODUCTION TO QUEUE SYSTEMS
8 Data analysis and distrubitions
9 Inventory control models
10 STATISTICAL MODELS IN SIMULATION
11 RANDOM NUMBER AND VARIABLE PRODUCTION TECHNIQUES
12 SIMULATION ANALYSIS
13 SIMULATION VERIFICATION TECHNIQUES
14 STUDENT PRESENTATIONS
Resources
Course Notes <p> 1. Discrete-Event System Simulation, Banks, J., Carson II, J.S. and Nelson, B.L.,2009,Fifth Edition.,Prentice Hall</p>
Course Resources

1. Discrete-Event System Simulation, Banks, J., Carson II, J.S. and Nelson, B.L.,2009,Fifth Edition.,Prentice Hall

2. Simulation modelling and analysis by Averill M. Law, W. David Kelto

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Ödev 10
1. Performans Görevi (Seminer) 20
2. Ödev 10
2. Performans Görevi (Seminer) 20
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 2 1 2
Assignment 1 8 8
Final examination 1 12 12
Total Workload 128
Total Workload / 25 (Hours) 5.12
dersAKTSKredisi 5