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 |
# | 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 |
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 |
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. | ✔ |
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 |
Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
---|---|
Diğer Kaynaklar |
|
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 |