COMPUTER ENGINEERING
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Ders Genel Tanıtım Bilgileri

Course Code: 1410321004
Ders İsmi: Computer Networks
Ders Yarıyılı: Spring
Ders Kredileri:
Theoretical Practical Credit ECTS
3 0 3 4
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Type of course: Necessary
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi İmren YEŞİLYURT
Course Lecturer(s): Dr.Öğr.Üyesi İmren YEŞİLYURT
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: The aim of this course is to provide students with knowledge in the spectrum from data communication at the lowest layer of computer networks to the protocols at the top layer, and to have the ability to analyze, monitor, improve and develop for each layer on networks using modern tools.
Course Content: Fundamentals of data communication, multiplexing, analog and digital data communication, physical data communication medium, computer network architectures, ISO OSI reference model, switching techniques, local network protocols, media access control (MAC) protocols, data link layer, framing, error control, floating window protocol, path finding layer, network level addressing, application layer. TCP/IP suite, IP Routing protocol, TCP and UDP protocols. Application development and term project with Java.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) 1) To be able to understand and compare modern network technologies in terms of speed, transportation technique and topology.
2) 2) To be able to explain topics such as residential transportation networks (Point to point access, dial-up modem, ADSL, cable modem), Protocol layer stack, client/server architecture, application layer applications (Telnet, FTP, DNS, HTTP, SMTP).
2 - Skills
Cognitive - Practical
1) 3) To be able to examine and analyze Transport layer which includes Transport layer services, secure and insecure data transfer, TCP Protocol, UDP Protocol.
3 - Competences
Communication and Social Competence
1) 4) To be able to create new IP/Network structures by using information and analysis on Network layer services, Routing, IP Protocol, IP addressing.
Learning Competence
1) 6) To be able to develop computer network applications and protocols using various programming languages and modern development tools.
Field Specific Competence
1) 5) To be able to explain and compare Data Link Layer Services, Ethernet, Token Ring, Error detection and correction, Data link layer containing ARP and local area network layers.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) INTRODUCTION TO COMPUTER NETWORKS Course Book
2) APPLICATION LAYER Course Book
3) APPLICATION LAYER: PROTOCOLS Course Book
4) TRANSPORT LAYER: TRANSPORT SERVICES Course Book
5) TRANSPORT LAYER: SECURE DATA TRANSFER Course Book
6) TRANSPORT LAYER: TRANSPORT PROTOCOLS Course Book
7) NETWORK LAYER: ADDRESSING Course Book
8) Midterm 1
9) NETWORK LAYER: ROUTING Course Book
10) DATA LINK LAYER: SERVICES Course Book
11) DATA LINK LAYER: SERVICES Course Book
12) DATA LINK LAYER: ERROR DETECTION AND CORRECTION Course Book
13) Midterm 2
14) DATA LINK LAYER: MULTIPLE ACCESS PROTOCOLS Course Book
15) DATA LINK LAYER: MULTIPLE ACCESS PROTOCOLS Course Book
16) Final COMPUTER NETWORKİNG, BY J. F. KUROSE & K.W. ROSS (6TH EDİTİON) COMPUTER NETWORKS, BY ANDREW S. TANENBAUM (5TH EDİTİON)

Sources

Course Notes / Textbooks:
References: COMPUTER NETWORKİNG, BY J. F. KUROSE & K.W. ROSS (6TH EDİTİON)
COMPUTER NETWORKS, BY ANDREW S. TANENBAUM (5TH EDİTİON)

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

2

3

4

5

6

Program Outcomes
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) PO 1.1) Sufficient knowledge in mathematics, science and computer engineering
2) PO 1.2) Ability to apply theoretical and applied knowledge in mathematics, science and computer engineering for modeling and solving engineering problems.
3) PO 2.1) Identifying complex engineering problems
4) PO 2.2) Defining complex engineering problems
5) PO 2.3) Formulating complex engineering problems 4
6) PO 2.4) Ability to solve complex engineering problems
7) PO 2.5) Ability to choose and apply appropriate analysis and modeling methods
8) PO 3.1) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions.
9) PO 3.2) Ability to apply modern design methods under realistic constraints and conditions for a complex system, process, device or product
10) PO 4.1) Developing modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
11) PO 4.2) Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications
12) PO 4.3) Ability to use information technologies effectively.
13) PO 5.1) Examination of complex engineering problems or discipline-specific research topics, designing experiments
14) PO 5.2) Examination of complex engineering problems or discipline-specific research topics, experimentation
15) PO 5.3 ) Analysis of complex engineering problems or discipline-specific research topics, data collection
16) PO 5.4) Analyzing the results of complex engineering problems or discipline-specific research topics
17) PO 5.5) Examining and interpreting complex engineering problems or discipline-specific research topics

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Attendance 10 % 10
Midterms 2 % 50
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 14 3 42
Study Hours Out of Class 30 3 90
Midterms 2 2 4
Final 1 3 3
Total Workload 139