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Information
| Code | CEN489 |
| Name | Modeling of Computer Networks |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. MEHMET FATİH AKAY |
Course Goal
Understanding parameters and test methods for optimal network protocol design, prediction of next generation network architectures and protocols
Course Content
Introduction to network modeling, network calculus, dynamic scheduling and resource allocation, network games, protocol analysis
Course Precondition
There is no prerequisite.
Resources
Computer Networking: A Top-Down Approach by Kurose & Ross 7th edition, ISBN-10: 9780133594140
Notes
Computer Networking: A Top-Down Approach by Kurose & Ross 7th edition, ISBN-10: 9780133594140
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Understanding network protocols |
| LO02 | Concept of optimal network protocol |
| LO03 | The use of tools, methods and tests in network modeling |
| LO04 | Ability to apply optimal network modeling methods to real world problems. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Has capability in the fields of mathematics, science and computer that form the foundations of engineering | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Identifies, formulates, and solves engineering problems, selects and applies appropriate analytical methods and modeling techniques, | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Analyzes a system, its component, or process and designs under realistic constraints to meet the desired requirements,gains the ability to apply the methods of modern design accordingly. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Ability to use modern techniques and tools necessary for engineering practice and information technologies effectively. | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and to conduct experiments, to collect data, to analyze and to interpret results | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Has ability to work effectively as an individual and in multi-disciplinary teams, take sresponsibility and builds self-confidence | 2 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Can access information,gains the ability to do resource research and uses information resources | 5 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Awareness of the requirement of lifelong learning, to follow developments in science and technology and continuous self-renewal ability | 4 |
| PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to communicate effectively orally and in writing, and to read and understand technical publications in at least one foreign language | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Professional and ethical responsibility, | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Awareness about project management, workplace practices, employee health, environmental and occupational safety, and the legal implications of engineering applications, | |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation, and knowledge of contemporary issues | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Network models | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 2 | Modeling and measurement tools | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 3 | Network performance metrics | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 4 | Models for data flows | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 5 | Stochastic scheduling | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 6 | Markov process and its application for analyzing network resource allocation | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 7 | Available bandwidth estimation | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | There is no prerequisite. | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Detecting network anomalies | There is no prerequisite. | Ölçme Yöntemleri: Yazılı Sınav |
| 10 | Introduction to game theory | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 11 | Resource sharing games | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 12 | Congestion games | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 13 | Petri nets | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 14 | Detecting congestion with Markov | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 15 | Case studies | There is no prerequisite. | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | There is no prerequisite. | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | There is no prerequisite. | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||