Course Information

Course Information
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
Weekly Topics (Content)
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
Recommended Sources
Signals and Systems (Assoc. Prof. Orhan GAZİ)
S. K. Mitra, Digital Signal Processing, A Computer Based Approach, third edition, McGraw Hill, 2005.
Relations with Education Attainment Program Course Competencies
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
*DK = Course's Contrubution.
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
ECTS credits and course workload
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