Information Package

Program of Electrical and Electronics Engineering (English)

EEE483

ANALOG AND DIGITAL FILTER DESIGN

Course Code
EEE483
Semester
-
Theory+Practice
3 + 1
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Understand basic concepts of designing analog filters using Butterworth, Chebyshev, and elliptical approximations.
  2. Have detailed understanding of determining the filter frequency response.
  3. Have an understanding of design considerations for active filters using operational amplifiers.
  4. Understand basic concepts of designing digital filters with infinite impulse response
  5. Have detailed understanding of designing digital filters with finite impulse response.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone.
Course DescriptionAnalog and digital design principles and performance analysis.
Course Contents
WEEK TOPICS
1st Week Fundamentals of Filter Design
2nd Week Analog Filter Approximations
3rd Week Butterworth approximations
4th Week Chebyshev approximations
5th Week Inverse Chebyshev approximations
6th Week Elliptic approximations
7th Week Introduction to Discrete-Time Systems
8th Week Frequency response of discrete-time systems
9th Week Infinite Impulse Response (IIR) Digital Filter Design
10th Week Impulse invariance
11th Week Bilinear transform design
12th Week Finite Impulse Response (FIR) Digital Filter Design
13th Week Windowing techniques to improve design
14th Week Frequency sampling
Recommended or Required Reading1. Schaumann, R., Valkenburg, M.V. (2001), Design of Analog Filters, Oxford University Press.
2. Antoniou, A., (2000), Digital Filters: Analysis, Design, and Applications/2nd Ed., McGraw-Hill
Planned Learning Activities and Teaching Methods This course that contains a lot of mathematical operations is performed interactively with the student on the board. If necessary, supported with slides., Lecture, Questions/Answers, Problem Solving
Assessment Methods and Criteria 1 Midterm (%30), Quizzes (%20), Project and Homework (%10), 1 Final Exam (%40)
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 4 10 40
Individual or group work
Preparation for Final exam 1 15 15
Course hours 10 3 30
Preparation for Midterm exam 1 10 10
Laboratory (including preparation) 0 0 0
Final exam 1 2 2
Homework 2 20 40
Total Work Load139
Total Work Load / 30 (h)4.63
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3 LO4 LO5
K1
K2 X X X X X
K3 X X X X X
K4 X X X X X
K5
K6
K7
K8
K9
K10
K11