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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
MCTE 512LINEAR SYSTEMS AND SIGNALS3 + 02nd Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective Learning the basics of linear system constructions, continuous time and discrete time signals.
Course Content Complex numbers, vectors and matrices, Classes, Classification of systems, Classification of systems, Time domain analysis of continuous time systems, Fourier transformation in continuous time systems, Time domain analysis of discrete time systems, z-transformation in discrete time systems.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.

COURSE LEARNING OUTCOMES
1Know the concepts such as signal, system, continuous time, discrete time.
2Know time domain analysis of continuous and discrete time systems.
3Know the fourier transformation of continuous and discrete time systems.
4Know the Z-transform for discrete time systems.

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 2026-2027 Fall1ADİLE AKPUNAR BOZKURT


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester Mode of Delivery
MCTE 512 LINEAR SYSTEMS AND SIGNALS 3 + 0 1 Turkish 2026-2027 Fall Face to Face
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. ADİLE AKPUNAR BOZKURT aakpunar@pau.edu.tr TEK A0209 %
Goals Learning the basics of linear system constructions, continuous time and discrete time signals.
Content Complex numbers, vectors and matrices, Classes, Classification of systems, Classification of systems, Time domain analysis of continuous time systems, Fourier transformation in continuous time systems, Time domain analysis of discrete time systems, z-transformation in discrete time systems.
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