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Ders Tanımı

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

Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Teaches System, Model and Simulation concepts and relations 1 - 2 - A - C - D -
2 - Teaches the techniques of generating random numbers and random values 1 - 4 - A - C - D -
3 - Teaches the basic elements of the simulation model and setup. 1 - 4 - 5 - 9 - A - C - D -
4 - Gives the ability to model verification, testing and analysis. 1 - 4 - 12 - A - C - D -
5 - Teaches the modeling of queuing and networking systems. 1 - 3 - 4 - 5 - 7 - 9 - 10 - A - C - D -
6 - Teaches simulation validity tests. 1 - 3 - 4 - 5 - 7 - 9 - 10 - A - C - D -
7 - Gain necessary statistical knowledge in simulation model. 1 - 4 - 12 - 13 - A - C - D -
8 - Teaches simulation software techniques. 1 - 4 - 5 - 6 - 8 - 9 - 12 - 16 - A - C - D -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice 5:Demonstration 9:Simulation 12:Case Study 3:Discussion 7:Role Playing 10:Brain Storming 6:Motivations to Show 8:Group Study 16:Project Based Learning 13:Lab / Workshop
Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
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


Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
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

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 5
Odev 1 40
KisaSinav 2 5
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(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(s) 5.12
Dersin AKTS Kredisi 5.12
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