COMPUTER ENGINEERING (MASTER) (THESIS)
Qualification Awarded	Program Süresi	Toplam Kredi (AKTS)	Öğretim Şekli	Yeterliliğin Düzeyi ve Öğrenme Alanı
Master's ( Second Cycle) Degree	2	120	FULL TIME	TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 7 QF-EHEA:Second Cycle TR-NQF-HE, ISCED (1997-2013): 48,52

Ders Genel Tanıtım Bilgileri

Course Code:

3016111004

Ders İsmi:

Computer Networks

Ders Yarıyılı:

Fall

Ders Kredileri:

Theoretical	Practical	Labs	Credit	ECTS
3	0	0	3	9

Language of instruction:

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Other Recommended Topics for the Course:

Type of course:

Uzmanlık Alanı Zorunlu

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi Recep DURANAY

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

This is a graduate-level introductory course in Computer Networks. It makes a broad introduction to many concepts and algorithms, theory ve practical work in Computer Networks. The basic concepts and selected topics in computer networks and applications are presented.

Course Content:

An overview of OSI and TCP/IP models and Internet architecture. Packet switching and circuit switching network technologies. Delay, loss and throughput in packet-switched networks. Analyzing network packets using a network analyzer program and network designs in a network modeling and simulation environment. Application Layer: Introduction to socket programming, application layer protocols: DNS, HTTP, FTP, SMTP, POP3, and peer-to-peer networking. Transport Layer: Principles of reliable data transfer, TCP and UDP protocols, flow control and congestion control. Network Layer: IP protocol and addressing. Routing Algorithms: Link State, Distance Vector, Hierarchical Routing, Routing in the Internet: RIP, OSPF, BGP protocols. Broadcast and multicast routing. Data link protocols, and local area networks: Ethernet and IEEE 802.11.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
1) Students will have knowledge of the basic structures of communication networks.
2) Ability to use knowledge to formulate, and solve practical problems using computer networking techniques.
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	An overview of OSI and TCP/IP models and Internet architecture.	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
2)	Packet switching and circuit switching network technologies.	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
3)	Delay, loss and throughput in packet-switched networks.	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
4)	Application Layer1: Socket programming, application layer protocols: DNS, HTTP,	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
5)	Application Layer 2: FTP, SMTP, POP3, and peer-to-peer networking.	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
6)	Transport Layer 1: Principles of reliable data transfer,	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
7)	Midterm Exam	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
8)	Transport Layer 2: TCP and UDP protocols, flow control and congestion control.	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
9)	Network Layer 1: IP protocol and addressing.	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
10)	Network Layer 2: Routing Algorithms: Link State, Distance Vector, Hierarchical Routing,	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
11)	Network Layer 3: Routing in the Internet: RIP, OSPF, BGP protocols. Broadcast and multicast routing.	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
12)	Data Link Layer 1: Data link protocols	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
13)	Data Link Layer 2: Local area networks: Ethernet and IEEE 802.11.	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
14)	Project Demonstration / Midterm Exam II	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
15)	Project Demonstration / Midterm Exam II	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
16)	Final Exam	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm

Sources

Course Notes / Textbooks:	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm
References:	Computer Networking: A Top-Down Approach, 8th Edition, J. F. Kurose, K. W. Ross, Addison Wesley, 2020. http://gaia.cs.umass.edu/kurose_ross/online_lectures.htm

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları	1	2
Program Outcomes
1) Ability to reach wide and deep knowledge through scientific research in the field of Computer Science and Engineering, evaluate, interpret and apply.
2) Ability to use scientific methods to cover and apply limited or missing knowledge, and to integrate the knowledge of different disciplines.
3) Ability to construct Computer Science and Engineering problems, develop methods to solve the problems and use innovative methods in the solution.
4) Ability to develop new and/or original ideas and algorithm; develop innovative solutions in the design of system, component or process.
5) Ability to have extensive knowledge about current techniques and methods applied in Computer Engineering and their constraints.
6) Ability to design and implement analytical modeling and experimental research, solve and interpret complex situations encountered in the process.
7) Ability to use a foreign language (English) at least at the level of European Language Portfolio B2 in verbal and written communication.
8) Ability to lead in multidisciplinary teams, develop solutions to complex situations and take responsibility.
9) Awareness of the social, legal, ethical and moral values, and the ability to conduct research and implementation work within the framework of these values.
10) Awareness of the new and emerging applications in Computer Science and Engineering field, and the ability to examine them and learn if necessary.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Ability to reach wide and deep knowledge through scientific research in the field of Computer Science and Engineering, evaluate, interpret and apply.
2)	Ability to use scientific methods to cover and apply limited or missing knowledge, and to integrate the knowledge of different disciplines.
3)	Ability to construct Computer Science and Engineering problems, develop methods to solve the problems and use innovative methods in the solution.
4)	Ability to develop new and/or original ideas and algorithm; develop innovative solutions in the design of system, component or process.
5)	Ability to have extensive knowledge about current techniques and methods applied in Computer Engineering and their constraints.
6)	Ability to design and implement analytical modeling and experimental research, solve and interpret complex situations encountered in the process.
7)	Ability to use a foreign language (English) at least at the level of European Language Portfolio B2 in verbal and written communication.
8)	Ability to lead in multidisciplinary teams, develop solutions to complex situations and take responsibility.
9)	Awareness of the social, legal, ethical and moral values, and the ability to conduct research and implementation work within the framework of these values.
10)	Awareness of the new and emerging applications in Computer Science and Engineering field, and the ability to examine them and learn if necessary.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Course
Grup çalışması ve ödevi
Labs

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama)
Homework
Gözlem
Grup Projesi

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	2	% 30
Midterms	1	% 30
Semester Final Exam	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	15	3	45
Study Hours Out of Class	15	2	30
Homework Assignments	2	10	20
Midterms	1	2	2
Final	1	3	3
Total Workload			100