GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Communication Systems II/EEE442
Course Title: Communication Systems II
Credits 4 ECTS 7
Course Semester 8 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  English
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
To learn the basics of sampling process, pulse modulation and digital modulation techniques
To learn the fundamentals of information theory and to understand the basics of channel coding for high-quality communications

 -- MODE OF DELIVERY
  Face-to-face
 --WEEKLY SCHEDULE
1. Week  Meeting week
2. Week  Introduction to random processes, probability, random variables, statistical averages, transformations of random variables
3. Week  Random processses, stationarity, mean, correlation and covariance functions, ergodicity, transmission of random proceses thorug linear filters, power spectral density, Gaussian processes and noise, properties of noise
4. Week  Sampling process, pulse amplitude modulation, time-division multiplexing, pulse position modulation
5. Week  Quantization, pulse code modulation, noise effects in PCM
6. Week  Baseband pulse transmission, matched filter, error rate due to ISI, Nyquist signaling for no ISI
7. Week  Correlative level coding, M-PAM, tapped delay-line equalization, adaptive equalization, decision-feedback equalization, eye diagram
8. Week  Transmission model for digital passband transmission, Gram-Schmidt orthogonalization, geometrical interpretation of signals
9. Week  Correlator banks, coherent detection of signals in noise, ML decode
10. Week  Midterm exam
11. Week  Error-rate of maximum-likelihood decoder, korelasyon almacı, equivalence of correlation and matched filter receivers, detection of signals with unknown phase, hierarachy of digital modulation techniques, coherent BPSK modulation, Coherent BFSK modulation
12. Week  Coherent QPSK, coherent MSK, GMSK, M-FSK
13. Week  Noncoherent orthogonal modulation, noncoherent binary FSK, differential phase-shift keying, M-ary modulation, spectral efficiency
14. Week  Introduction to information theory. Mutual information and capacxity tanımları . Capacity of memoryless discrete-time and continuous-time channels
15. Week  Introduction to error-control coding. Linear block codes, cyclic codes and convolutional codes. Associated encoding and deoding algorithms
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
30
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
4
20
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
15
3
45
 Weekly Tutorial Hours
4
2
8
 Reading Tasks
15
2
30
 Searching in Internet and Library
15
2
30
 Material Design and Implementation
0
0
0
 Report Preparing
0
0
0
 Preparing a Presentation
0
0
0
 Presentation
0
0
0
 Midterm Exam and Preperation for Midterm Exam
2
10
20
 Final Exam and Preperation for Final Exam
2
10
20
 Other (should be emphasized)
15
2
30
 TOTAL WORKLOAD: 
183
 TOTAL WORKLOAD / 25: 
7.32
 Course Credit (ECTS): 
7
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.X
2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.X
3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.X
4Ability to devise, select, and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.X
5Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questionsX
6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individuallyX
7Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructionsX
8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herselfX
9Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice .X
10Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.X
11Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions .X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Özgür ERTUĞ)
 -- WEB SITE(S) OF LECTURER(S)
   (htt:/w3.gazi.edu.tr/~ertug)
 -- EMAIL(S) OF LECTURER(S)
   (ertug@gazi.edu.tr)