GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
SPECTRAL ESTIMATION/5451351
Course Title: SPECTRAL ESTIMATION
Credits 3 ECTS 7.5
Course Semester 1 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
Knows the fundamental spectral estimation methods.
Obtains the ability to apply the fundamental spectral estimation methods.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face.
 --WEEKLY SCHEDULE
1. Week  Matrix algebra basics.
2. Week  Probability and random processes.
3. Week  Periodogram.
4. Week  Blackman-Tukey spectral estimation.
5. Week  Rational transfer function models.
6. Week  Autoregressive processes and spectrum properties.
7. Week  Autoregressive (AR) spectral estimation methods.
8. Week  Moving average (MA) spectral estimation.
9. Week  Autoregressive-moving average (ARMA) spectral estimation.
10. Week  Mininum variance spectral estimation.
11. Week  Prony’s method.
12. Week  Beamforming and direction finding.
13. Week  MUSIC algorithm.
14. Week  ESPRIT algorithm.
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
20
 Assignment
2
20
 Application
0
0
 Projects
2
20
 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
2
28
 Searching in Internet and Library
14
2
28
 Material Design and Implementation
3
6
18
 Report Preparing
2
12
24
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
20
20
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
180
 TOTAL WORKLOAD / 25: 
7.2
 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)
   (Prof.Dr. Erkan AFACAN)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/e.afacan)
 -- EMAIL(S) OF LECTURER(S)
   (e.afacan@gazi.edu.tr)