ACADEMICS
Course Detail

ELE 412 Data Communication
2016-2017 Summer term information

The course is not open this term

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.

Course definition tables are extracted from the ECTS Course Catalog web site of Hacettepe University (http://ects.hacettepe.edu.tr) in real-time and displayed here. Please check the appropriate page on the original site against any technical problems.

ELE412 - DATA COMMUNICATION

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
DATA COMMUNICATION ELE412 8th Semester 3 0 3 6
Prerequisite(s)ELE324 Telecommunication Theory I
Course languageEnglish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Problem Solving
 
Instructor (s)Faculty members 
Course objectiveUpon 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
  1. Understand the notion of layered structure in computer network
  2. Learn different transmission media, modulation and demodulation concepts in physical layer
  3. Learn medium access and ARQ mechanisms in the link layer
  4. Learn fundamentals of queueing theory and its application to packet delay, major issues and algorithms in the network layer
  5. 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
 
ReferencesComputer 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

WeeksTopics
Week 1Introduction, layered structure of computer networks
Week 2Physical layer: Guided transmission media, unguided transmission media, data and
Week 3Multiplexing, duplexing, multiple access methods, methods in wireless channels
Week 4Stop-and-wait flow control, sliding-window flow control, stop-and-wait ARQ, selective-reject ARQ, go-back-N ARQ
Week 5Performance issues of flow control and error control
Week 6Midterm exam 1
Week 7Review of queueing theory: Discrete-time Markov chain, Little's theorem
Week 8M/M/1 queue, M/M/m queue
Week 9Medium access control sublayer: Static and dynamic channel allocation, ALOHA
Week 10Carrier sense multiple access protocols, limited contention, protocols, wireless LAN protocols
Week 11Midterm exam 2
Week 12Network layer: Virtual-circuit and datagram subnets, sink tree, Dijktra's algorithm
Week 13Flooding, distance vector routing, link state routing, internetworking, fragmentation, subnets
Week 14Transport layer
Week 15Preparation for Final exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments210
Presentation00
Project00
Seminar00
Midterms140
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

Workload and ECTS calculation

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)14570
Presentation / Seminar Preparation000
Project000
Homework assignment21020
Midterms (Study duration)000
Final Exam (Study duration) 12525
Total Workload31430

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. PO1. Possesses the theoretical and practical knowledge required in Electrical and Electronics Engineering discipline.    X 
2. PO2. Utilizes his/her theoretical and practical knowledge in the fields of mathematics, science and electrical and electronics engineering towards finding engineering solutions.    X
3. PO3. Determines and defines a problem in electrical and electronics engineering, then models and solves it by applying the appropriate analytical or numerical methods.    X 
4. PO4. Designs a system under realistic constraints using modern methods and tools.   X 
5. PO5. Designs and performs an experiment, analyzes and interprets the results. X   
6. PO6. Possesses the necessary qualifications to carry out interdisciplinary work either individually or as a team member.   X  
7. PO7. Accesses information, performs literature search, uses databases and other knowledge sources, follows developments in science and technology. X   
8. PO8. Performs project planning and time management, plans his/her career development.  X  
9. PO9. Possesses an advanced level of expertise in computer hardware and software, is proficient in using information and communication technologies. X   
10. PO10. Is competent in oral or written communication; has advanced command of English.  X  
11. PO11. Has an awareness of his/her professional, ethical and social responsibilities.  X  
12. PO12. Has an awareness of the universal impacts and social consequences of engineering solutions and applications; is well-informed about modern-day problems.  X  
13. PO13. Is innovative and inquisitive; has a high level of professional self-esteem.   X 

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

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