PAÜ .:. Eğitim Öğretim Bilgi Sistemi

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
ELK 517	STATISTICAL DIGITAL SIGNAL PROCESSING AND MODELING - I	3 + 0	2nd Semester	7,5

COURSE DESCRIPTION

Course Level	Master's Degree
Course Type	Elective
Course Objective	To provide theoretical background need for the analysis of linear time-invariant random systems and signals.
Course Content	Fundamentals of discrete-time signal processing and theory of linear algebra / Random variables, vectors, and sequences / Linear signal models and random process analysis with these models / Deterministic and random signal modelling methods / Levinson-Durbin recursion / Lattice filters.
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to Face

COURSE LEARNING OUTCOMES

1	One knows the Fundamentals of discrete-time signal processing.
2	One knows the concepts of random variables, vectors, and sequences.
3	One knows linear signal models and makes random analysis with these models.
4	One makes random analysis with linear signals models.
5	One knowns nonparametric power spectrum estimation methods.
6	One can use spectrum estimation methods in the analysis of signals.

COURSE'S CONTRIBUTION TO PROGRAM

	PO 01	PO 02	PO 03	PO 04	PO 05	PO 06	PO 07	PO 08	PO 09	PO 10	PO 11
LO 001	5	5	3	2	2	2	2	3
LO 002	4	5	2	2	3	3	2
LO 003	5	5	4	2	4	4		4
LO 004	5	5	4	4	5	5		5
LO 005	5	5	3	3	4	4		4
LO 006	5	5	2	2	5	5		5
Sub Total	29	30	18	15	23	23	4	21
Contribution	5	5	3	3	4	4	1	4	0	0	0

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION

Activities	Quantity	Duration (Hour)	Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)	14	3	42
Hours for off-the-classroom study (Pre-study, practice)	14	2	28
Assignments	4	10	40
Mid-terms	1	40	40
Final examination	1	45	45
Total Work Load ECTS Credit of the Course			195 7,5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2010-2011 Spring	1	AYDIN KIZILKAYA

Course Details

Course Code	Course Title	L+P Hour	Course Code	Language Of Instruction	Course Semester
ELK 517	STATISTICAL DIGITAL SIGNAL PROCESSING AND MODELING - I	3 + 0	1	Turkish	2010-2011 Spring

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 background need for the analysis of linear time-invariant random systems and signals.
Content		Fundamentals of discrete-time signal processing and theory of linear algebra / Random variables, vectors, and sequences / Linear signal models and random process analysis with these models / Deterministic and random signal modelling methods / Levinson-Durbin recursion / Lattice filters.

Topics

Weeks	Topics
1	Fundamentals discrete-time signal processing
2	Fundamentals discrete-time signal processing
3	Linear algebra theory
4	Linear algebra theory
5	Random variables, vectors and sequences
6	Random variables, vectors and sequences
7	Random variables, vectors and sequences
8	Methods for deterministic and stochastic modeling
9	Methods for deterministic and stochastic modeling
10	Methods for deterministic and stochastic modeling
11	Levinson algorithm
12	Levinson algorithm
13	Lattice filter theory
14	Lattice filter theory

Materials

Materials are not specified.

Resources

Course Assessment

L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes

Prospective Student