Course Name Code Semester T+U Hours Credit ECTS
Data Communication BSM 305 5 3 + 0 3 4
Precondition Courses <p nssimulated="true">None</p>
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Compulsory
Course Coordinator Prof.Dr. İBRAHİM ÖZÇELİK
Course Lecturers Prof.Dr. İBRAHİM ÖZÇELİK, Dr.Öğr.Üyesi MURAT İSKEFİYELİ,
Course Assistants

Res.Asst. Musa BALTA

Course Category
Course Objective

It is aimed to teach concepts, techniques and methods using within current protocols to send from source to destination over a network of data.

Course Content

Data Communication Basics, Signal Definition, Transmission Impairments, Transmission Mediums, Analog and Digiatl Transmission, Error Detection and Correction Mechanims, Flow Control

# Course Learning Outcomes Teaching Methods Assessment Methods
1 Understand Data Communication Basics Lecture, Testing,
2 Understand Modulation Techiniques Lecture, Testing,
3 Understand Error Detection and Correction Techiniques Lecture, Question-Answer, Drilland Practice, Self Study, Problem Solving, Testing,
4 Understand Multiplexing and Spread Spectrum Lecture, Question-Answer, Self Study, Testing, Homework,
5 Understand information related to understanding and evaluating of Guided/Ungudied Communication Systems Lecture, Question-Answer, Self Study, Testing,
6 Skilled enough to have Computer Networs Course Lecture, Discussion, Homework,
7
8
9
10
11 Oral Exam,
12
13
Week Course Topics Preliminary Preparation
1 Introduction to Data Communication
2 Network Models (OSI, TCP/IP)
3 Signals, Time and Frequency Domain Concepts
4 Transmission Impairments, Channel Capacity
5 Digital Transmission (Digital to Digital)
6 Digital Transmission (Analog to Digital)
7 Analog Transmission (Digital to Analog)
8 Multiplexing
9 Spread Spectrum
10 Midterm Exam
11 Error Detection Techiniques (Parity, CRC)
12 Error Correction Techiniques (Checksum, Hamming Diatance)
13 Interface Standarts (RS-232, RS-485)
14 DSL Technologoies
Resources
Course Notes <p nssimulated="true">Lecture Notes. Assoc.Prof.Dr. İbrahim &Ouml;Z&Ccedil;ELİK</p>
Course Resources

1.Data Communications, Computer Networks and Open Systems, Fred Halsall, Addison Wesley, 1996
2.Data and Computer Communications, William Stallings, Prentice Hall, 2004.
3.Computer Networks, Andrew Tanenbaum, Pearson Education, 2003.

Order Program Outcomes Level of Contribution
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society,
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. X
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 65
1. Kısa Sınav 5
2. Kısa Sınav 5
3. Kısa Sınav 25
Total 100
1. Yıl İçinin Başarıya 50
1. Final 50
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Quiz 2 2 4
Assignment 1 5 5
Final examination 1 10 10
Total Workload 125
Total Workload / 25 (Hours) 5
dersAKTSKredisi 4