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ELK5870 | Digital Communications Engineering | 3+0+0 | ECTS:7.5 | Year / Semester | Fall Semester | Level of Course | Second Cycle | Status | Elective | Department | DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Prof. Dr. Kadir TÜRK | Co-Lecturer | | Language of instruction | | Professional practise ( internship ) | None | | The aim of the course: | techniques of digital communications, problem formulations, solutions |
Programme Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | PO - 1 : | understan baseband model of a communication system | 1,3,4 | 1,3,5 | PO - 2 : | model problem of communications | 1,3,4 | 1,3,5 | PO - 3 : | know channel equalization | 1,3,4 | 1,3,5 | PO - 4 : | know OFDM technique | 1,3,4 | 1,3,5 | PO - 5 : | know Doppler tracking problem | 1,3,4 | 1,3,5 | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | |
introduction to communication systems, baseband models of communication systems, communication channels (optical, ultrasonic, elctromagnetic, kable, powerline) , channel coding, digital modulation techniques, channel matched filter, equalization, OFDM technique, Doppler tracking, offset frequency estimations. |
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Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Introduction to Digital Communication, channel Capacity, Basic models of communication systems | | Week 2 | Communication channels and theri simulation methods, Rayleigh, Ricean Channel simulations, monte carlo Simulation | | Week 3 | Channel Coding Theory, Digital Modulation technqiues, Symbol and bit definitions | | Week 4 | Monte Carlo Simulation of AWGN and Frequency flat channel models, BER performances of BPSK and QAM modulations | | Week 5 | Synchronisation and channel estimation | | Week 6 | Channel tracking, adaptive channel estimation, LMS, channel matched filter | | Week 7 | OFDM, Multicarrier communications | | Week 8 | OFDM Continued, Simulation and BER performances | | Week 9 | Mid-term exam | | Week 10 | Channel coding, VA and Turbo algorithms | | Week 11 | channel coding simulations | | Week 12 | Student presentations | | Week 13 | Student presentations | | Week 14 | Cognitive Radio: aspects, techniques, visions. | | Week 15 | | | Week 16 | End-of-term exam | | |
1 | Gallager R.G. 2008; Principles of Digital Communication, Cambridge University Press | | |
1 | Bernard Sklar, 2001, Digital Communications: Fundamentals and Applications (2nd Edition), Prentice Hall P.T.R | | 2 | David Tse; Fundamentals of Wireless Communication, Cambridge University Press (June 27, 2005) | | 3 | John G. Proakis, Digital Communications, 5e, McGraw Hill | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 8 | | 2 | 30 | Homework/Assignment/Term-paper | 12 | | 4 | 20 | End-of-term exam | 16 | | 2 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 11 | 33 | Sınıf dışı çalışma | 16 | 4 | 64 | Arasınav için hazırlık | 32 | 1 | 32 | Arasınav | 2 | 1 | 2 | Ödev | 32 | 1 | 32 | Dönem sonu sınavı için hazırlık | 40 | 1 | 40 | Dönem sonu sınavı | 2 | 1 | 2 | Total work load | | | 205 |
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