11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


se.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
 SE 115To succeed (To get a grade of at least DD)
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course Discussion
Problem Solving
Q&A
Application: Experiment / Laboratory / Workshop
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Will be able to examine and evaluate the structure and functionality of network protocols,
  • Describe and get familiar with the structure and functionality of the Data Link Layer and MAC
  • Examine the concept of the Network Layer, design local area networks (LAN), comprehend IP addressing scheme, examine and design subnetworks,
  • Will be able to examine Routing Algorithms and analyze routing information exchange,
  • Will comprehend the functionality of the Transport Layer and TCP/IP protocol stack. By using packet analysis tool, the students will also be able to analyze and decode layers data of the TCP/ IP stack.
  • Application Layer: Students will be able to use basic networking tools to monitor and decode network traffic. Implement client-server applications using socket programming library of the UNIX platform.
Course Description

 



Course Category

Core Courses
X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Computer Networks. Tools, techniques and methodologies used in analyzing and implementing computer networks Computer Networking, J. F. Kurose & K.W. Ross: Chapter 1, pages1-81 UNIX-shell, tcpdump, wireshark
2 Data Link Layer: Multiple Access Protocols Computer Networking, J. F. Kurose & K.W. Ross: Chapter 5, pages 471-487
3 Medium Access Control (MAC) Protocols, Contention and Collision- free protocols Computer Networking, J. F. Kurose & K.W. Ross: Chapter 5, pages 435-480
4 Data Link Layer: Error-detection and Correction, Link-Layer Addressing ARP,RARP Computer Networking, J. F. Kurose & K.W. Ross: Chapter 5, pages 459-471, pages 488-502
5 Transport Layer: Connection-oriented and Connectionless networking. TCP and UDP protocols Computer Networking, J. F. Kurose & K.W. Ross: Chapter 5, pages 211-284
6 Error control, flow control, error detection and correction Computer Networking, J. F. Kurose & K.W. Ross: Chapter 5, pages 211-284
7 Wireless and Mobile Networks Computer Networking, J. F. Kurose & K.W. Ross: Chapter 5, pages 539-580
8 Midterm Exam
9 Network Layer, IPv4 Addressing. Subnetworking, ICMP, NAT, Dynamic Addressing BOOTP, DHCP Computer Networking, J. F. Kurose & K.W. Ross: Chapter 5, pages 331-381
10 Routing algorithms Computer Networking, J. F. Kurose & K.W. Ross: Chapter 5, pages 389-425
11 Routing Information Exchange TCP/IP Networking, Kondakci II & III – Computer Networks Tanenbaum – Chapter 5
12 Application Layer: Socket programming, Connection-oriented and Connectionless client-server programming S. Kondakci Lecture Notes and Computer Networks And Internets, D. E. Comer – Chapter 3
13 MIDTERM EXAM
14 Basic Network Security Cryptography & Network Security: Lecture Notes, Kondakci
15 Review of the Semester
16 Review of the Semester  
Course Notes/Textbooks Computer Networking: A Top Down Approach Featuring Internet, 6th Ed., James Kurose, Keith Ross© 2012 Addison, Wesley, ISBN13: 978-0-273-76896-8
Suggested Readings/Materials Computer Networks, 5th Edition, Andrew Tanenbaum, Pearson Education Int., ISBN: 0132126958\nComputer Networks And Internets, 5th Edition, Douglas E. Comer, 2009. Prentice Hall, ISBN 0136061273.\nCryptography & Network Security: Lecture Notes, Suleyman Kondakci, Izmir University of Economics, \nTCP/IP Networking I,II, and III, Suleyman Kondakci, University of Oslo\n

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterm
2
60
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
1
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
16
5
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
2
18
Final Exams
1
20
    Total
200

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute
2 Be able to design and analyze software at component, subsystem, and software architecture level X
3 Be able to develop software by coding, verifying, doing unit testing and debugging X
4 Be able to verify software by testing its behaviour, execution conditions, and expected results
5 Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation
6 Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically X
7 To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning
X
8 Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes X
9 Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance X
10 To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software X
11 To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering
12 Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering
13

Be able to use a foreign language to follow related field publications and communicate with colleagues

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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