PAÜ .:. Eğitim Öğretim Bilgi Sistemi

FIRST CYCLE - BACHELOR'S DEGREE . FACULTY OF ENGINEERING . COMPUTER ENGINEERING DEPARTMENT . 253 Computer Engineering (2014)

Course Information | Course Learning Outcomes | Course's Contribution To Program | ECTS Workload | Course Details

COURSE INFORMATION

Course Code	Course Title	L+P Hour	Semester	ECTS
CENG 309	SIGNAL PROCESSING	3 + 0	5th Semester	5

COURSE DESCRIPTION

Course Level	Bachelor's Degree
Course Type	Compulsory
Course Objective	The course is designed to familiarize the students with the techniques for analyzing and synthesizing continuous-time as well as discrete-time systems. Time domain and frequency domain signal analysis tools are studied, and the subjects of filtering and modulation are introduced as signal processing techniques both in continuous-time and discrete-time. Design concepts are emphasized with respect to filtering and modulation.
Course Content	Basics of continuous-time and discrete-time signals and systems. Linear time-invariant systems; Convolution. The Laplace transform and its properties. The z-transform and its properties. Fourier Series representation of continuous-time Periodic signals; properties of Fourier series; filtering concepts
Prerequisites	No the prerequisite of lesson.
Corequisite	No the corequisite of lesson.
Mode of Delivery	Face to face

COURSE LEARNING OUTCOMES

1	Understanding the fundamentals of signals and systems
2	Learning the Fourier series representation of continuous-time signals
3	Learning the Fourier series representation of discrete-time signals
4	Understanding the filtering concept

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	PO 12
LO 01	5	4	5	3	5	1				5
LO 02	5	4	5	3	4	1				5
LO 03	5	4	5	3	4	1				5
LO 04	4	4	5	3	4	1				5
Sub Total	19	16	20	12	17	4				20
Contribution	5	4	5	3	4	1	0	0	0	5	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	3	42
Mid-terms	1	16	16
Final examination	1	30	30
Total Work Load ECTS Credit of the Course			130 5

COURSE DETAILS

Select Year

	Course Term	No	Instructors
Details	2020-2021 Fall	1	MERİÇ ÇETİN

Course Details

Course Code: CENG 309

Course Title: SIGNAL PROCESSING

L+P Hour : 3 + 0

Course Code : 1

Language Of Instruction: Turkish

Course Semester : 2020-2021 Fall

Course Coordinator : ASSOCIATE PROFESSOR MERİÇ ÇETİN

E-Mail: mcetin@pau.edu.tr

Phone Number :

Course Location

MUH A0226, MUH A0234,

Goals :

The course is designed to familiarize the students with the techniques for analyzing and synthesizing continuous-time as well as discrete-time systems. Time domain and frequency domain signal analysis tools are studied, and the subjects of filtering and modulation are introduced as signal processing techniques both in continuous-time and discrete-time. Design concepts are emphasized with respect to filtering and modulation.

Content :

Basics of continuous-time and discrete-time signals and systems. Linear time-invariant systems; Convolution. The Laplace transform and its properties. The z-transform and its properties. Fourier Series representation of continuous-time Periodic signals; properties of Fourier series; filtering concepts

Attendance :

Topics

Weeks	Topics
1	Signals and classification of signals
2	Systems and classification of systems
3	Time domain analysis of continuous time systems
4	Zero-input response and zero-state response
5	Time domain analysis of discrete time systems
6	Zero-input response, zero-state response, unit impulse response
7	Continuous time system analysis using the laplace transform
8	Midterm
9	Discrete time system analysis using the Z transform
10	Continuous time signal analysis: The Fourier Series
11	Continuous time signal analysis: The Fourier Transform
12	The Sampling Theorem
13	Fourier analysis of discrete-time signals
14	State Space Analysis

Materials

Materials are not specified.

Resources

Resources	Resources Language
Linear Systems and Signals, B. P. Lathi, Oxford University Press, 2005	English

Course Assessment

Assesment Methods	Percentage (%)	Assesment Methods Title
Final Exam	35	Final Exam
Midterm Exam	30	Midterm Exam
Quiz	35	Quiz

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

Information Package & Course Catalogue