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Course Description Course Name : Digital Communication Systems Course Code : EEE492 Course Type : Optional Level of Course : First Cycle Year of Study : 4 Course Semester : Spring (16 Weeks) ECTS : 5 Name of Lecturer(s) : Asst.Prof.Dr. SAMİ ARICA Learning Outcomes of the Course : Explain the main concepts of digital communication systems. Calculate the minimum sampling rate of the signal. Explain and discuss Intersymbol Interference (ISI) and Nyquist criterion. Explain, discuss, and compare different digital modulation techniques. Explain fundamentals of optimum detection. Discuss the performance of the digital communication systems (BER vs. SNR). Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : In this course, analog to digital conversion, digital modulation methods, time division multiplexing, concept of information and information measure, digital communication channel limitations; channel noise, interference, etc. are introduced. Course Contents : Analog pulse modulation: pulse amplitude modulation, flat-top amplitude modulation, pulse position modulation, pulse width modulation. Analog to digital conversion: sampling, Nyquist rate, quantization, encoding. Base band digital transmission: pulse code modulation, delta modulation, differential pulse code modulation. Time division multiplexing. M-ary coding, symbol rate, bit rate, inter symbol interference. Nyquist rate, Nyquist channel. Matched filter. Correlative coding. Pass band digital transmission: amplitude shift keying, frequency and phase shift keying. Signal expansion with orthogonal basis (signals), signal vectors. Detection of signals in noise. Language of Instruction : English Work Place : Department of Electrical and Electronics engineering building classrooms.   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 The sampling process. Pulse amplitude modulation. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 2 Pulse position modulation. Time division multiplexing. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 3 The quantization process. Pulse-code modulation. Matlab and spice application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 4 Noise considerations in PCM systems. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 5 Delta modulation. Differential pulse code modulation. Matlab and spice application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 6 Matched filter. Error-rate due to noise. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 7 Intersymbol interference. Nyquist´s criterion for distortionless baseband binary transmission. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 8 Midterm exam. Textbook reading/Problem solving. Written exam. 9 Correlative level coding. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 10 Baseband M-ary PAM transmission. Tapped delay-line equalization. Eye pattern. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 11 Passband transmission model. Geometric representation of signals. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 12 Response of bank of correlators to a noisy input. Coherent detection of signals in noise. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 13 Probability of error. Correlation receiver. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 14 Coherent binary PSK. Coherent binary FSK. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 15 Coherent quadriphase-shift keying. Coherent minimum-shift keying. Matlab application. Textbook reading/Problem solving/Computer application. Lecture/Computer application. 16/17 Final exam. Textbook reading/Problem solving. Written exam.   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Fundementals of Communication Systems. John G. Proakis and Masoud Salehi. 2005. Pearson Prentice Hall.  Communication Systems. A. Bruce Carlson and Paul B. Crilly and Janet C. Rutledge. 2002. McGraw-Hill.  Communication Systems. Simon Haykin. 1994. John Wiley & Sons.  Principles of Communication Systems. Herbert Taub and Donald L. Schilling. 1989. McGraw-Hill.  Electronic Communication Techniques. Paul H. Young. 2004. Prentice Hall. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 100     Homeworks/Projects/Others 14 0 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Has capability in those fields of mathematics and physics that form the foundations of engineering. 5 2 Grasps the main knowledge in the basic topics of electrical and electronic engineering. 5 3 Comprehends the functional integrity of the knowledge gathered in the fields of basic engineering and electrical-electronics engineering. 4 4 Identifies problems and analyzes the identified problems based on the gathered professional knowledge. 4 5 Formulates and solves a given theoretical problem using the knowledge of basic engineering. 4 6 Has aptitude for computer and information technologies 3 7 Knows English at a level adequate to comprehend the main points of a scientific text, either general or about his profession, written in English. 3 8 Has the ability to apply the knowledge of electrical-electronic engineering to profession-specific tools and devices. 5 9 Has the ability to write a computer code towards a specific purpose using a familiar programming language. 2 10 Has the ability to work either through a purpose oriented program or in union within a group where responsibilities are shared. 2 11 Has the aptitude to identify proper sources of information, reaches them and uses them efficiently. 3 12 Becomes able to communicate with other people with a proper style and uses an appropriate language. 1 13 Internalizes the ethical values prescribed by his profession in particular and by the professional life in general. 1 14 Has consciousness about the scientific, social, historical, economical and political facts of the society, world and age lived in. 1 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 5 70     Out of Class Study (Preliminary Work, Practice) 16 2 32 Assesment Related Works     Homeworks, Projects, Others 14 2 28     Mid-term Exams (Written, Oral, etc.) 1 2 2     Final Exam 1 2 2 Total Workload: 134 Total Workload / 25 (h): 5.36 ECTS Credit: 5