GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Random Processes/EEE448
Course Title: Random Processes
Credits 3 ECTS 6
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
Learning the basics of random processes
Learning to compute average, autocorrelation and cross correlation
Learning to compute power spectral density
Learning the properties of the power spectral density
Learning the transmission of random processes through linear systems
Learning the basics of error detecting and correcting codes.
 -- MODE OF DELIVERY
  Face to face
 --WEEKLY SCHEDULE
1. Week  Autocorrelation function. Classification of random processes: Wide sense stationary processes, ergodic processes.
2. Week  The power spectral density of a random process. Wiener-Khinchine relation. The power of a random process.
3. Week  Sample problems.
4. Week  Multiple random processes. Uncorrelated, orthogonal and independent processes. Cross power spectral density.
5. Week  Transmission of random processes through linear systems. The sum of random processes.
6. Week  MIDTERM EXAM I
7. Week  Bandpass random processes. Nonuniqueness of the quadrature representation.
8. Week  Bandpass white gaussian random process. The sinusoidal signal in noise. Optimum filtering.
9. Week  Optimum threshold detection. Suboptimum filters. Optimum binary receiver.
10. Week  Coherent detection of binary systems.
11. Week  M-ary communication: Multiamplitude signaling, multiphase signaling, quadrature amplitude modulation, multitone signaling.
12. Week  MIDTERM EXAM II
13. Week  Definition of information and entropy. Measure of information entropy of a source. Source encoding.
14. Week  Error correcting codes: Linear block codes, cyclic codes.
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
2
100
 Assignment
0
0
 Application
0
0
 Projects
0
0
 Practice
0
0
 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
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
3
42
 Searching in Internet and Library
0
 Material Design and Implementation
0
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
2
20
40
 Final Exam and Preperation for Final Exam
1
25
25
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
149
 TOTAL WORKLOAD / 25: 
5.96
 Course Credit (ECTS): 
6
 -- 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)
   (Prof.Dr. Erkan AFACAN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/e.afacan , http://w3.gazi.edu.tr/~e.afacan/)
 -- EMAIL(S) OF LECTURER(S)
   (e.afacan@gazi.edu.tr)