Menu
PAU Home Page
Menu
Information Package & Course Catalogue
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
All Years
2020-2021 Fall
2019-2020 Fall
2018-2019 Fall
2017-2018 Fall
2016-2017 Fall
2015-2016 Fall
2014-2015 Fall
2013-2014 Fall
2012-2013 Fall
2011-2012 Fall
2010-2011 Fall
2008-2009 Fall
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
Home Page
About University
Name And Address
Acedemic Authorities
General Discription
Academic Calendar
General Admission Requirements
Recognition of Prior Learning
General Registration Procedures
ECTS Credit Allocation
Academic Guidance
Information For Students
Cost Of Living
Accommodation
Meals
Medical Facilities
Facilities for Special Needs Students
Insurance
Financial Support for Students
Student Affairs
Learning Facilities
International Programs
Language Courses
Internships
Sports Facilities and Leisure Activities
Student Associations
Practical Information for Mobile Students
Degree Programmes