BYM494 Data CommunicationInstitutional InformationDegree Programs Software EngineeringInformation For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Software Engineering

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

Course General Introduction Information

Course Code: BYM494
Course Name: Data Communication
Course Semester: Spring
Course Credits:
ECTS
6
Language of instruction: TR
Course Requirement:
Does the Course Require Work Experience?: No
Type of course: Departmental Elective
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 NAZLI TOKATLI
Course Lecturer(s): Assistant Prof. Dr. Tuncay Uzun
Course Assistants:

Course Purpose and Content

Course Objectives: The aim of this course is to provide basic information about digital and analog data communication concepts, methods and techniques.
Course Content: The course covers the general structure of data communication, digital and analog data communication techniques, data encoding mechanisms, and data sampling techniques. The bottom two layers of the five-layer protocol structure of computer networks are provided in this course.

Learning Outcomes

The students who have succeeded in this course;
1) Having knowledge about the basic level of data communications;
2) To understand the basic principles of data transmission from source to destination;
3) To establish the relationship between the concepts of data communications;

Course Flow Plan

Week Subject Related Preparation
1) An overview of data communication and networking. The protocols and protocol architectures Lecture notes and course book
2) Network Model (OSI, TCP / IP) Data transfer. Physical Layer: signals Lecture notes and course book
3) ransmission disturbances, channel capacity and delay, Transmission and environment Lecture notes and course book
4) Coding Techniques Lecture notes and course book
5) Analog-digital signals, Analog data to analog signals Lecture notes and course book
6) Flow control, error control and detection. HDLC. The data link control protocols Lecture notes and course book
6) Flow control, error control and detection. HDLC. The data link control protocols Lecture notes and course book
7) Error correction techniques Lecture notes and course book
8) Asynchronous RS232 serial communication Lecture notes and course book
9) Multiplexing (FDM WDM, TDM) Lecture notes and course book
10) Spread spectrum (FHSS, DSSS) Lecture notes and course book
11) EEE 802.11 protocol architecture. Lecture notes and course book
12) IEEE 802.11 MAC layer Lecture notes and course book
13) DSL Technology Lecture notes and course book
14) General review and project demonstration Lecture notes and course book

Sources

Course Notes / Textbooks: Introduction to Data Communications & Networking, Behrouz Foruzan
Data and Computer Communications by Stallings, 10/E, 2014, Prentice Hall.
Computer Networks by Tanenbaum, 2005, Prentice Hall.
References: yok

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Medium 3 Highest
       
Program Outcomes Level of Contribution
1) Sufficient knowledge in mathematics, science and software engineering discipline-specific topics; the theoretical and practical knowledge in these areas, the ability to use in complex engineering problems.
2) The ability to identify, formulate, and solve complex engineering problems; selecting and applying appropriate analysis and modelling methods for this purpose.
3) The ability to design a complex system, process, device or product under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose.
4) Ability to develop, select and use modern techniques and tools necessary for analysis and solution of complex problems in engineering applications; ability to use information technologies effectively.
5) Ability to design experiments, conduct experiments, collect data, analyse and interpret the results of complex engineering problems or discipline-specific research topics.
6) Disiplin içi ve çok disiplinli takımlarda etkin biçimde çalışabilme becerisi; bireysel çalışma becerisi.
7) Awareness of the need for lifelong learning; access to knowledge, ability to follow developments in science and technology, and constant self-renewal.
8) Effective communication skills in Turkish oral and written communication; at least one foreign language knowledge; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instructions and to receive.
9) Conformity to ethical principles, professional and ethical responsibility; Information on standards used in engineering applications.
10) Information on practices in business, such as project management, risk management and change management; awareness about entrepreneurship, innovation; information on sustainable development.
11) Information on the effects of engineering applications on health, environment, and safety in universal and social dimensions, and on the problems of the modern age in engineering; awareness of the legal consequences of engineering solutions.
12) Adequate skills in the analysis, design, verification, evaluation, implementation, implementation, and maintenance of software systems

Learning Activity and Teaching Methods

Anlatım
Bireysel çalışma ve ödevi
Course
Grup çalışması ve ödevi
Okuma
Homework
Proje Hazırlama
Uygulama (Modelleme, Tasarım, Maket, Simülasyon, Deney vs.)

Measurement and Evaluation Methods and Criteria

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

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Homework Assignments 5 % 10
Project 1 % 15
Midterms 1 % 30
Final 1 % 45
total % 100
PERCENTAGE OF SEMESTER WORK % 55
PERCENTAGE OF FINAL WORK % 45
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Aktiviteye Hazırlık Aktivitede Harçanan Süre Aktivite Gereksinimi İçin Süre Workload
Course Hours 14 3 42
Application 3 4 12
Study Hours Out of Class 14 4 56
Presentations / Seminar 1 7 7
Project 1 20 20
Homework Assignments 10 3 30
Quizzes 2 1 2
Midterms 1 1 1
Final 1 2 2
Total Workload 172