ACADEMICS
Course Details

ELE412 - Data Communication

2022-2023 Fall term information
The course is open this term
Supervisor(s)
Name Surname Position Section
Prof.Dr. Berkan Dülek Supervisor 21
Weekly Schedule by Sections
Section Day, Hours, Place
21 Friday, 13:00 - 15:45, E6

Timing data are obtained using weekly schedule program tables. To make sure whether the course is cancelled or time-shifted for a specific week one should consult the supervisor and/or follow the announcements.

ELE412 - Data Communication
Program Theoretıcal hours Practical hours Local credit ECTS credit
Undergraduate 3 0 3 6
Obligation : Elective
Prerequisite courses : ELE324
Concurrent courses : -
Delivery modes : Face-to-Face
Learning and teaching strategies : Lecture, Question and Answer, Problem Solving
Course objective : Upon succesful completion of the course the student - Understands the concept of layered structure in computer networks - Identifies the issues and parameters related to each layer - Gains a background in methods and algorithms used in each layer
Learning outcomes : Understand the notion of layered structure in computer network Learn different transmission media, modulation and demodulation concepts in physical layer Learn medium access and ARQ mechanisms in the link layer Learn fundamentals of queueing theory and its application to packet delay, major issues and algorithms in the network layer Learn major issues and methods used in the transport layer
Course content : - Introduction, layered structure of computer networks - Physical layer: Guided transmission media, unguided transmission media, data and modulation, multiplexing, duplexing, multiple access methods - Data link layer: Stop-and-wait flow control, sliding-window flow control, stop-and-wait ARQ, selective-reject ARQ, go-back-N ARQ, performance issues of flow control and error control - Review of queueing theory: Discrete-time Markov chain, Little's theorem, M/M/1 queue, M/M/m queue - Medium access control sublayer: Static and dynamic channel allocation, ALOHA, carrier sense multiple access protocols, limited contention, protocols, wireless LAN protocols - Network layer: Virtual-circuit and datagram subnets, sink tree, Dijktra's algorithm, flooding, distance vector routing, link state routing, internetworking, fragmentation, subnets - Transport layer: Transport layer services, socket primitives for TCP, transport protocols
References : Computer Networks, Andrew S. Tanenbaum, Fourth Edition, Pearson Education; References:; Data and Computer Communication, W. Stallings, 6th Ed, Prentice Hall; Data Networks, D. Bertsekas and R. Gallager, 2nd Ed, Prentice Hall
Course Outline Weekly
Weeks Topics
1 Introduction, layered structure of computer networks
2 Physical layer: Guided transmission media, unguided transmission media, data and
3 Multiplexing, duplexing, multiple access methods, methods in wireless channels
4 Stop-and-wait flow control, sliding-window flow control, stop-and-wait ARQ, selective-reject ARQ, go-back-N ARQ
5 Performance issues of flow control and error control
6 Midterm exam 1
7 Review of queueing theory: Discrete-time Markov chain, Little's theorem
8 M/M/1 queue, M/M/m queue
9 Medium access control sublayer: Static and dynamic channel allocation, ALOHA
10 Carrier sense multiple access protocols, limited contention, protocols, wireless LAN protocols
11 Midterm exam 2
12 Network layer: Virtual-circuit and datagram subnets, sink tree, Dijktra's algorithm
13 Flooding, distance vector routing, link state routing, internetworking, fragmentation, subnets
14 Transport layer
15 Preparation for Final exam
16 Final exam
Assessment Methods
Course activities Number Percentage
Attendance 0 0
Laboratory 0 0
Application 0 0
Field activities 0 0
Specific practical training 0 0
Assignments 2 10
Presentation 0 0
Project 0 0
Seminar 0 0
Quiz 0 0
Midterms 1 40
Final exam 1 50
Total 100
Percentage of semester activities contributing grade success 50
Percentage of final exam contributing grade success 50
Total 100
Workload and ECTS Calculation
Course activities Number Duration (hours) Total workload
Course Duration 14 3 42
Laboratory 0 0 0
Application 0 0 0
Specific practical training 0 0 0
Field activities 0 0 0
Study Hours Out of Class (Preliminary work, reinforcement, etc.) 14 5 70
Presentation / Seminar Preparation 0 0 0
Project 0 0 0
Homework assignment 2 10 20
Quiz 0 0 0
Midterms (Study Duration) 0 0 0
Final Exam (Study duration) 1 25 25
Total workload 31 43 157
Matrix Of The Course Learning Outcomes Versus Program Outcomes
Key learning outcomes Contribution level
1 2 3 4 5
1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.
2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.
3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.
4. Designs a system under realistic constraints using modern methods and tools.
5. Designs and performs an experiment, analyzes and interprets the results.
6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.
7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology.
8. Performs project planning and time management, plans his/her career development.
9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies.
10. Is competent in oral or written communication; has advanced command of English.
11. Has an awareness of his/her professional, ethical and social responsibilities.
12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.
13. Is innovative and inquisitive; has a high level of professional self-esteem.
1: Lowest, 2: Low, 3: Average, 4: High, 5: Highest
General Information | Course & Exam Schedules | Real-time Course & Classroom Status
Undergraduate Curriculum | Open Courses, Sections and Supervisors | Weekly Course Schedule | Examination Schedules | Information for Registration | Prerequisite and Concurrent Courses | Legal Info and Documents for Internship | Academic Advisors for Undergraduate Program | Information for ELE 401-402 Graduation Project | Virtual Exhibitions of Graduation Projects | Program Educational Objectives & Student Outcomes | ECTS Course Catalog | HU Registrar's Office
Graduate Curriculum | Open Courses and Supervisors | Weekly Course Schedule | Final Examinations Schedule | Schedule of Graduate Thesis Defences and Seminars | Information for Registration | ECTS Course Catalog - Master's Degree | ECTS Course Catalog - PhD Degree | HU Graduate School of Science and Engineering