Course Title | Code | Semester | L+U Hour | Credits | ECTS |
---|---|---|---|---|---|
Signals And Systems | BM303 | 5. Semester | 3 + 0 | 3.0 | 4.0 |
Prerequisites | None |
Language of Instruction | Turkish |
Course Level | Undergraduate |
Course Type | |
Mode of delivery | Lecture, Computer Application, Question-Answer, Video |
Course Coordinator |
Prof. Dr. Pakize ERDOĞMUŞ Prof. Dr. ALİ ÇALHAN |
Instructor(s) |
ALİ ÇALHAN |
Assistants | |
Goals | To provide a basis for students who will conduct practical application and research on digital and analog signal processing and systems issues. |
Course Content | Signals, discrete/continuous-time signals and systems, Convolution, energy and power of signals, Fourier transforms of discrete/continuous-time signals |
Learning Outcomes |
- To be able to comprehend signs and their properties, to be able to classify signs and systems. - Ability to perform shift and scaling operations on signals - Ability to calculate power and energy in signals - Understanding the system and its features - To be able to represent linear and time-invariant systems with differential and difference equations. - To be able to calculate convolution and apply it on signals - To be able to expand continuous periodic signals into fourier series. - Fourier transform for continuous signals - Ability to make fourier serial representations of discrete periodic signals. - Ability to take Fourier transforms of discrete-time signals |
Week | Topics | Learning Methods |
---|---|---|
1. Week | Introduction to Signals and Systems | Verbal Expression Visual Presentation Practice Course Hours Research Other Activities Preparation, After Class Study |
2. Week | Continuous Time Signals and Their Processing | Visual Presentation Practice Preparation, After Class Study Research Other Activities Course Hours Verbal Expression |
3. Week | Discrete Time Signals and Their Processing | Research Preparation, After Class Study Verbal Expression Course Hours Visual Presentation Practice Other Activities |
4. Week | Basic signals used in signal processing and their processing | Research Preparation, After Class Study Visual Presentation Other Activities Course Hours Practice Verbal Expression |
5. Week | Energy and Power Calculation of Continuous and Discrete Signals | Course Hours Preparation, After Class Study Verbal Expression Research Practice Visual Presentation Other Activities |
6. Week | Convolution Process for Continuous and Discrete Signals | Preparation, After Class Study Course Hours Research Verbal Expression Visual Presentation Other Activities Practice |
7. Week | Systems and Their Features | Preparation, After Class Study Verbal Expression Visual Presentation Research Practice Course Hours Other Activities |
8. Week | Representation of Linear and Time Invariant Systems with Differential and Difference Equations | Preparation, After Class Study Other Activities Verbal Expression Practice Course Hours Research Visual Presentation |
9. Week | Fourier Analysis of Continuous Time Signals | Practice Course Hours Preparation, After Class Study Research Other Activities Visual Presentation Verbal Expression |
10. Week | Fourier Series Representations of Continuous Periodic Signals | Preparation, After Class Study Research Verbal Expression Visual Presentation Practice Other Activities Course Hours |
11. Week | Fourier Integral and Fourier Transform | Practice Course Hours Preparation, After Class Study Research Other Activities Visual Presentation Verbal Expression |
12. Week | Fourier Analysis of Discrete Time Signals | Practice Course Hours Preparation, After Class Study Research Other Activities Verbal Expression Visual Presentation |
13. Week | Fourier Series Representations of Discrete Periodic Signals | Course Hours Research Other Activities Verbal Expression Practice Preparation, After Class Study Visual Presentation |
14. Week | Fourier Transform of Discrete Time Signals | Visual Presentation Course Hours Research Other Activities Practice Verbal Expression Preparation, After Class Study |
Signals and Systems (Assoc. Prof. Orhan GAZİ) |
S. K. Mitra, Digital Signal Processing, A Computer Based Approach, third edition, McGraw Hill, 2005. |
Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 | DK8 | DK9 | DK10 | Measurement Method |
---|---|---|---|---|---|---|---|---|---|---|---|---|
PY1 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 40,60 |
PY2 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 40,60 |
PY3 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 40,60 |
PY4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 40,60 |
PY5 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 40,60 |
PY6 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 40,60 |
PY7 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 40,60 |
PY8 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 40,60 |
PY9 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 40,60 |
PY10 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 40,60 |
PY11 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 40,60 |
PY12 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 40,60 |
0 | 1 | 2 | 3 | 4 | 5 | |
---|---|---|---|---|---|---|
Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
Event | Quantity | Duration (Hour) | Total Workload (Hour) |
---|---|---|---|
Course Hours | 3 | 14 | 42 |
Preparation, After Class Study | 1 | 14 | 14 |
Verbal Expression | 1 | 14 | 14 |
Visual Presentation | 1 | 14 | 14 |
Midterm 1 | 1 | 1 | 1 |
Final | 1 | 1 | 1 |
Practice | 1 | 1 | 1 |
Practice End-Of-Term | 1 | 1 | 1 |
Classroom Activities | 1 | 14 | 14 |
Total Workload | 102 | ||
ECTS Credit of the Course | 4.0 |