Ders Adı Kodu Yarıyıl T+U Saat Kredi AKTS
System Sımulatıon BSM 463 7 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü Seçmeli
Dersin Koordinatörü Dr.Öğr.Üyesi ABDULLAH SEVİN
Dersi Verenler Dr.Öğr.Üyesi ABDULLAH SEVİN,
Dersin Yardımcıları
Dersin Kategorisi Diğer
Dersin Amacı

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

 

Dersin İçeriği

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

# Ders Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
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,
Hafta Ders Konuları Ön Hazırlık
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
Kaynaklar
Ders Notu

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

Ders Kaynakları

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

Sıra Program Çıktıları Katkı Düzeyi
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
13
Değerlendirme Sistemi
Yarıyıl Çalışmaları Katkı Oranı
1. Ara Sınav 40
1. Ödev 10
1. Performans Görevi (Seminer) 20
2. Ödev 10
2. Performans Görevi (Seminer) 20
Toplam 100
1. Yıl İçinin Başarıya 60
1. Final 40
Toplam 100
AKTS - İş Yükü Etkinlik Sayı Süre (Saat) Toplam İş Yükü (Saat)
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
Toplam İş Yükü 128
Toplam İş Yükü / 25 (Saat) 5,12
Dersin AKTS Kredisi 5