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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MCTE 514ANALOG AND DIGITAL FILTERS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Giving the previous knowledge of analog and digital filter design.
Course Content Filter concept, first order filters, second order filters, chebyshev and butterworth filters, frequency transforms in filters, sampling and reconstruction of signals, digital filter structures.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Know analog filter and digital filter concepts.
2It has knowledge about frequently used analog and digital filters.
3It has knowledge about the frequency domain behavior of analogue and digital filters.
4Know signal sampling and reconstruction of signal concepts.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001544331241232
LO 002544331241232
LO 003544331241232
LO 004544331241232
Sub Total2016161212481648128
Contribution544331241232

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Mid-terms17575
Final examination17878
Total Work Load

ECTS Credit of the Course






195

7,5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2023-2024 Spring1HALİL ALPASLAN
Details 2022-2023 Spring1HALİL ALPASLAN


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
MCTE 514 ANALOG AND DIGITAL FILTERS 3 + 0 1 Turkish 2023-2024 Spring
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. HALİL ALPASLAN halpaslan@pau.edu.tr TEK A0223 %
Goals Giving the previous knowledge of analog and digital filter design.
Content Filter concept, first order filters, second order filters, chebyshev and butterworth filters, frequency transforms in filters, sampling and reconstruction of signals, digital filter structures.
Topics
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes