Multimedia Communication (EE 414)

2020 Fall
Faculty of Engineering and Natural Sciences
Electronics Engineering(EE)
6.00 / 6.00 ECTS (for students admitted in the 2013-14 Academic Year or following years)
Özgür Erçetin,
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Interactive lecture,Recitation
Interactive,Project based learning,Task based learning,Simulation
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Data transmission and encoding. Error detection techniques. Automatic repeat request (ARQ) protocols. Medium access control techniques: Aloha, CSMA/CD, GSM, Token Ring, FDDI, Network control stability. High-speed gigabit networks. ATM. Performance evaluation and monitoring M/M/1 Queues and networks of Queues.


To introduce students with communication networks and networking technologies, performance analysis of networks, multimedia traffic and networking.


By the end of this course, students should be able to:
Describe the operation of existing network technologies
Construct applications or interfaces to work with existing network technologies
Propose networking solutions at all layers
Build models for analyzing network algorithms/protocols
Build simulation models for analyzing the performance of network algorithms/protocols, architectures, deployments, etc.
Use network simulation tools
Record and interpret the results of simulation experiments
Adopt a systematic approach to understand network problems
Improve programming skills by building models in simulation tools
Improve team working skills via course project


1. Understand the world, their country, their society, as well as themselves and have awareness of ethical problems, social rights, values and responsibility to the self and to others. 4

2. Understand different disciplines from natural and social sciences to mathematics and art, and develop interdisciplinary approaches in thinking and practice. 4

3. Think critically, follow innovations and developments in science and technology, demonstrate personal and organizational entrepreneurship and engage in life-long learning in various subjects. 5

4. Communicate effectively in Turkish and English by oral, written, graphical and technological means. 5

5. Take individual and team responsibility, function effectively and respectively as an individual and a member or a leader of a team; and have the skills to work effectively in multi-disciplinary teams. 5

1. Possess sufficient knowledge of mathematics, science and program-specific engineering topics; use theoretical and applied knowledge of these areas in complex engineering problems. 5

2. Identify, define, formulate and solve complex engineering problems; choose and apply suitable analysis and modeling methods for this purpose. 5

3. Develop, choose and use modern techniques and tools that are needed for analysis and solution of complex problems faced in engineering applications; possess knowledge of standards used in engineering applications; use information technologies effectively. 5

4. Ability to design a complex system, process, instrument or a product under realistic constraints and conditions, with the goal of fulfilling specified needs; apply modern design techniques for this purpose. 5

5. Design and conduct experiments, collect data, analyze and interpret the results to investigate complex engineering problems or program-specific research areas. 5

6. Knowledge of business practices such as project management, risk management and change management; awareness on innovation; knowledge of sustainable development. 3

7. Knowledge of impact of engineering solutions in a global, economic, environmental, health and societal context; knowledge of contemporary issues; awareness on legal outcomes of engineering solutions; understanding of professional and ethical responsibility. 2

1. Use mathematics (including derivative and integral calculations, probability and statistics, differential equations, linear algebra, complex variables and discrete mathematics), basic sciences, computer and programming, and electronics engineering knowledge to (a) Design and analyze complex electronic circuits, instruments, software and electronics systems with hardware/software. or (b) Design and analyze communication networks and systems, signal processing algorithms or software 5

1. Design, implement, test, and evaluate a computer system, component, or algorithm to meet desired needs and to solve a computational problem. 5

2. Demonstrate knowledge of discrete mathematics and data structures. 4

3. Demonstrate knowledge of probability and statistics, including applications appropriate to computer science and engineering. 5

1. Applying fundamental and advanced knowledge of natural sciences as well as engineering principles to develop and design new materials and establish the relation between internal structure and physical properties using experimental, computational and theoretical tools. 1

2. Merging the existing knowledge on physical properties, design limits and fabrication methods in materials selection for a particular application or to resolve material performance related problems. 1

3. Predicting and understanding the behavior of a material under use in a specific environment knowing the internal structure or vice versa. 1


  Percentage (%)
Exam 70
Group Project 20
Homework 10



James F. Kurose and Keith W. Ross, Computer Networking: A Top-Down Approach Featuring the Internet, Addison Wesley


Alberto Leon-Garcia, Indra Widjaja, Communication Networks, MCGraw Hill
Dimitri Berstekas, Robert Gallager, Data Networks, Prentice Hall