Ders Bilgileri

#### Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
PERFORMANCE ANALYSIS OF COMPUTER NETWORKS BSM 602 0 3 + 0 3 6
 Dersin Dili Türkçe Dersin Seviyesi Doktora Dersin Türü SECMELI Dersin Koordinatörü Prof.Dr. CELAL ÇEKEN Dersi Verenler Dersin Yardımcıları Dersin Kategorisi Dersin Amacı Teaching network performance techniques and approaches using for development of new network systems and for reviewing performance in application specific circumstances of current network systems. In addition, making extended SCI/SCI Expanded paper presentations about this lecture. Dersin İçeriği Introduction to performance analysis of the computer networks, delay sources, queue models for computer networks, data link layer protocols, multiple access communication, flow and congestion controls, modeling and optimization as mathematical of network design and performance.
 Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri 1 - Teaching delay sources in the network systems 1 - 2 - 6 - 14 - 15 - A - C - D - 2 - Teaching queue theory and models 1 - 3 - A - C - 3 - Teaching using Opnet IT Guru program 1 - 2 - 6 - A - C - D - 4 - Teaching making performance analysis and modeling of the data link protocols 1 - 2 - 3 - 6 - A - C - D -
 Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 6:Motivations to Show 14:Self Study 15:Problem Solving 3:Discussion Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

#### Ders Akışı

Hafta Konular ÖnHazırlık
1 Introduction to performance analysis of the computer networks
2 Delay and delay types in the networks systems
3 Queuing delay and queue theory
4 M/M/1 queue system and state diagram
5 Little theorem, M/M/1/N, M/M/m and M/M/m/m queue systems
6 Other queue systems an priority queues
7 Using Opnet IT Guru
8 Performance analysis of the Data Link Layer protocols
9 Retransmission delay
10 Flow control and performance analysis
11 Congestion control and performance analysis

Ders Notu
Ders Kaynakları

#### Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 gain high level ability to define the required information and data X
7 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation and announcement X
10 aware of new and developing application of profession and ability to analyze and study on those applications X
11 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X

#### Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
Odev 1 15
ProjeTasarim 1 20
Odev 2 15
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 1 16
Mid-terms 1 20 20
Assignment 2 15 30
Project / Design 1 10 10
Final examination 1 25 25
Toplam İş Yükü 149
Toplam İş Yükü /25(s) 5.96
Dersin AKTS Kredisi 5.96
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