Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Signals and Systems BMM301 Turkish Compulsory 5. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Face to face
Course Coordinator
Instructor(s) Dr. Öğr. Üyesi Pınar Deniz TOSUN (Güz)
Goals The aim of this course is to introduce widely used engineering terminologies as signals and systems to the students by detailed theoretical lectures which are consolidated by tutorials and problem-solving.
Course Content Classification of signals and systems; analog, digital, even, odd, discrete, continuous, periodic, Properties of linear systems, Fourier series and applications in discrete/continuous time, Laplace transform, Z transformation
Learning Outcomes
# Öğrenme Kazanımı
1 Classify continuous and discrete time signals and analyse formulation of the basic signals in Engineering
2 Understand the properties of linear time invarient systems
3 Describe the basic concepts of Fourier series and Fourier transforms for discrete- and continuous-time signals,
5 Describe the Laplace transformation of continuous time signals and systems
6 Analyse the lectrical circuits by Laplace transformation
7 Describe the Z transformation of discrete time signals and systems
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Signals and Systems
2. Week Signals and Systems
3. Week Linear Time Invariant Systems
4. Week Linear Time Invariant Systems
5. Week Linear Time Invariant Systems
6. Week Laplace transformation,its properties and applications
7. Week Laplace transformation,its properties and applications
8. Week Tutorials Preparation, After Class Study
9. Week Z transformation,its properties and applications
10. Week Z transformation,its properties and applications
11. Week Fourier Transformations of Continuous Signals and Systems
12. Week Fourier Transformations of Continuous Signals and Systems
13. Week Fourier Transformations of Discrete Signals and Systems
14. Week Fourier Transformations of Discrete Signals and Systems
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 To gain students application skills in the field of Biomedical Engineering by making them use knowledge in health sciences and engineering
1 To gain students application skills in the field of Biomedical Engineering by making them use knowledge in health sciences and engineering
2 To provide development and design skills of all components or single component of a medical device, software or product used in medical field to students under the realistic conditions
3 To provide identification, modeling and solving skills by engineering approaches of a problem observed in medicine
4 To use up-to-date hardware and software efficiently.
8 Awareness of necessity of life-long learning ; to gain ability to reach the knowledge, following the recent developments in science and technology and continously self renovating.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6
PY1 4 4 4 4 4 4
PY2 4 4 4 4 4 4
PY3 5 5 5 5 5 5
PY4 5 5 5 5 5 5
PY8 5 5 5 5 5 5
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • V. Oppenheim, A.S. Willsky, “Signals and Systems”, Prentice Hall,
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 14 3 42
Sınavlar
Midterm 1 1 30 30
Final 1 30 30
Total Workload 102
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0