GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
COMMUNICATION THEORY/5061351
Course Title: COMMUNICATION THEORY
Credits 3 ECTS 7.5
Course Semester 2 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 detection theory.
To learn estimation theory

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face.
 --WEEKLY SCHEDULE
1. Week  Binaryhyphothesis test, Bayes test, specialBayes test, Neyman-Pearsoncrieterion, receiveroperatingcharacteristic, properties of ROC
2. Week   M hyphothesis, estimationtheory
3. Week   Compositehyphothesis, generalGaussian problem
4. Week  Randomprocesscharacterization: Conventionalcharaceterizatiosn, Series representatiion of samplefunctions of randomprocesses, Gaussianprocesses
5. Week  Homogenous integral equationsandeigenfucntions, Rationalspectra, bandlimitedspectra, nonstationaryprocesses, whitenoiseproceses, Theoptimumlinearfilter. Properties of eigenfunctionsandewigenvalues
6. Week  eriodic processes, spectral decompostion, vector random processes
7. Week  Midterm Exam
8. Week  Introduction. Models. Format. Detectionandestimation in White Gaussiannoise
9. Week  Detectionandestimation in noınwhiteGaussiannıoise
10. Week  Signalswithunwantedparaneters: Compostiehyphothesis test problem
11. Week  Signalswithunwantedparaneters: Compostiehyphothesis test problem
12. Week   Estimation of continouswavefoırms
13. Week  Linear estimation. Properties of optimumprocessores. Realizable linear filters
14. Week  Kalman-Bucy filters, Linear modulation: Communication context
15. Week  Presentations
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
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
0
0
 Reading Tasks
15
1
15
 Searching in Internet and Library
15
3
45
 Material Design and Implementation
3
10
30
 Report Preparing
0
0
0
 Preparing a Presentation
1
10
10
 Presentation
1
10
10
 Midterm Exam and Preperation for Midterm Exam
2
5
10
 Final Exam and Preperation for Final Exam
2
5
10
 Other (should be emphasized)
14
1
14
 TOTAL WORKLOAD: 
186
 TOTAL WORKLOAD / 25: 
7.44
 Course Credit (ECTS): 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2X
3X
4X
5X
6X
7X
8X
9X
10X
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. Özgür Ertuğ)
 -- WEB SITE(S) OF LECTURER(S)
   (w3.gazi.edu.tr\~ertug)
 -- EMAIL(S) OF LECTURER(S)
   (ertug@gazi.edu.tr)