Undergraduate
Faculty of Engineering and Architecture
Electrical and Electronics Engineering
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Digital Communication Systems

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
EE0838 Digital Communication Systems 2/2/0 DE English 6
Course Goals
 The goals of the lecture is undersdanding sampling theory, baseband transmmission, matyched filter, digital modulations, coherent and non-coherent receiver, multiple access systems and MATLAB simulation of those systems. 
Prerequisite(s) NONE
Corequisite(s) NONE
Special Requisite(s) NONE
Instructor(s) Assist. Prof. Dr. Yusuf ACAR
Course Assistant(s) NONE
Schedule Monday, 13:00-16:00, 2C0406,
Office Hour(s) Office: 2D11, Monday, 10:00-11:00
Teaching Methods and Techniques Oral presantations, powerpoint, answer and questions
Principle Sources John G. Proakis and Masoud Salehi (2002). (0). Communication Systems Engineering. Prentice Hall

John Wiley & Sons (0). Communication Systems.. Simon Haykin (2001).
Other Sources -
Course Schedules
Week Contents Learning Methods
1. Week Introduction to digital communication systems Oral presentation
2. Week Probability Oral presentation
3. Week Pulse Modulation Oral presentation
4. Week Signal Space analysis Oral presentation
5. Week Baseband transmission I Oral presentation
6. Week Baseband transmission II Oral presentation
7. Week Intersembol Interference (ISI) Oral presentation
8. Week Equalizer and spectral shapping Oral presentation
9. Week Midterm Midterm
10. Week Digital bandpass transmission Oral presentation
11. Week Matched filter Oral presentation
12. Week Matched filter Oral presentation
13. Week Error control coding Oral presentation
14. Week Multiple Access systems Oral presentation
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 2 50
Final Exam 1 50


Program Outcomes
PO-1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
PO-3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating engineering problems.
PO-6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9Awareness of professional and ethical responsibility.
PO-10Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
Learning Outcomes
LO-1Explain the working principles of basic building blocks of a digital communication system.
LO-2Model digital communication systems using appropriate mathematical techniques (probability distributions, signal-space analysis, constellation diagrams, trellis graphs, impulse response).
LO-3Identify methods of digital modulation and compare their performance using signal-space analysis.
LO-4Explain receiver techniques for detection of a signal in AWGN channel.
LO-5Characterize error-control coding techniques and explain the working of Viterbi algorithm.
LO-6Explain the mechanism of signal propagation in wireless communication and classify characteristics of multipath propagation channels.
LO-7Evaluate the performance of digital communication applications using MATLAB.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11