Print

COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
ELK 539STATISTICAL DIGITAL SIGNAL PROCESSING AND MODELING - II3 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective To provide theoretical fundamentals of optimum filtering theory and the methods of signal/spectrum estimation, and to gain graduate students the implementation ability of computer simulations related to optimum signal processing..
Course Content Optimum linear filters / Algorithms and structures for optimum linear filters / Least-squares filtering and prediction / Signal modeling and parametric spectrum estimation.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1One knows optimum linear filter theory and implements algorithms and structures of optimum filters.
2One knows least-squares-based filtering theory and linear prediction.
3One knows linear signal modeling techniques.
4One knows parametric spectrum estimation methods.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11
LO 00155455545   
LO 00255335545   
LO 00355245445   
LO 00455245544   
Sub Total2020111620191619   
Contribution55345545000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments11515
Mid-terms12323
Final examination13030
Presentation / Seminar Preparation11515
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2009-2010 Fall1AYDIN KIZILKAYA


Print

Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
ELK 539 STATISTICAL DIGITAL SIGNAL PROCESSING AND MODELING - II 3 + 0 1 Turkish 2009-2010 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Prof. Dr. AYDIN KIZILKAYA akizilkaya@pau.edu.tr Course location is not specified. %
Goals To provide theoretical fundamentals of optimum filtering theory and the methods of signal/spectrum estimation, and to gain graduate students the implementation ability of computer simulations related to optimum signal processing..
Content Optimum linear filters / Algorithms and structures for optimum linear filters / Least-squares filtering and prediction / Signal modeling and parametric spectrum estimation.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes