Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Signals And Systems BM303 Turkish Compulsory 5. Semester 3 + 0 3.0 4.0
Prerequisite Courses
Course Level Undergraduate
Mode of delivery Lecture, Computer Application, Question-Answer, Video
Course Coordinator Prof. Dr. Pakize ERDOĞMUŞ, Prof. Dr. ALİ ÇALHAN
Instructor(s) Prof. Dr. ALİ ÇALHAN (Güz)
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
# Öğrenme Kazanımı
1 To be able to comprehend signs and their properties, to be able to classify signs and systems.
2 Ability to perform shift and scaling operations on signals
3 Ability to calculate power and energy in signals
4 Understanding the system and its features
5 To be able to represent linear and time-invariant systems with differential and difference equations.
6 To be able to calculate convolution and apply it on signals
7 To be able to expand continuous periodic signals into fourier series.
8 Fourier transform for continuous signals
9 Ability to make fourier serial representations of discrete periodic signals.
10 Ability to take Fourier transforms of discrete-time signals
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Introduction to Signals and Systems Interview Presentation (Preparation) Class Hours Other Activities Preparation, After Class Study Practice Research
2. Week Continuous Time Signals and Their Processing Class Hours Preparation, After Class Study Research Interview Presentation (Preparation) Other Activities Practice
3. Week Discrete Time Signals and Their Processing Interview Presentation (Preparation) Practice Preparation, After Class Study Class Hours Research Other Activities
4. Week Basic signals used in signal processing and their processing Research Presentation (Preparation) Other Activities Practice Interview Preparation, After Class Study Class Hours
5. Week Energy and Power Calculation of Continuous and Discrete Signals Interview Presentation (Preparation) Practice Research Preparation, After Class Study Other Activities Class Hours
6. Week Convolution Process for Continuous and Discrete Signals Preparation, After Class Study Other Activities Interview Presentation (Preparation) Class Hours Research Practice
7. Week Systems and Their Features Class Hours Research Preparation, After Class Study Interview Presentation (Preparation) Practice Other Activities
8. Week Representation of Linear and Time Invariant Systems with Differential and Difference Equations Practice Interview Presentation (Preparation) Preparation, After Class Study Research Other Activities Class Hours
9. Week Fourier Analysis of Continuous Time Signals Preparation, After Class Study Research Presentation (Preparation) Practice Other Activities Interview Class Hours
10. Week Fourier Series Representations of Continuous Periodic Signals Presentation (Preparation) Practice Research Other Activities Preparation, After Class Study Interview Class Hours
11. Week Fourier Integral and Fourier Transform Class Hours Preparation, After Class Study Research Presentation (Preparation) Other Activities Practice Interview
12. Week Fourier Analysis of Discrete Time Signals Presentation (Preparation) Class Hours Preparation, After Class Study Research Other Activities Interview Practice
13. Week Fourier Series Representations of Discrete Periodic Signals Research Other Activities Interview Presentation (Preparation) Practice Preparation, After Class Study Class Hours
14. Week Fourier Transform of Discrete Time Signals Preparation, After Class Study Other Activities Research Presentation (Preparation) Interview Practice Class Hours
*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 Adequate knowledge of mathematics, science and related engineering disciplines; Ability to use theoretical and applied knowledge in these fields in complex engineering problems
2 Ability to identify, define, formulate and solve complex engineering problems; for this purpose, the ability to select and apply appropriate analysis and modeling methods
3 Knowledge and awareness about the management, control, development and security/reliability of Information Technologies
4 Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; for this purpose, the ability to apply modern design methods
5 Awareness of the necessity of lifelong learning; ability to access information, follow developments in science and technology, and constantly renew oneself
6 Ability to design and conduct experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics
7 Ability to work effectively in disciplinary and multi-disciplinary teams; individual study skills
8 Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering practice; Ability to use information technologies effectively
9 Knowledge of the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering; awareness of the legal consequences of engineering solutions
10 Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions
11 Behaving in accordance with ethical principles, awareness of professional and ethical responsibility; information about standards used in engineering applications
12 Knowledge of business practices such as project management, risk management and change management; awareness of entrepreneurship, innovation; information about sustainable development
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3 DK4 DK5 DK6 DK7 DK8 DK9 DK10
PY1 5 5 5 5 5 5 5 5 5 5
PY2 5 5 5 5 5 5 5 5 5 5
PY3 2 2 2 2 2 2 2 2 2 2
PY4 4 4 4 4 4 4 4 4 4 4
PY5 3 3 3 3 3 3 3 3 3 3
PY6 3 3 3 3 3 3 3 3 3 3
PY7 3 3 3 3 3 3 3 3 3 3
PY8 4 4 4 4 4 4 4 4 4 4
PY9 2 2 2 2 2 2 2 2 2 2
PY10 2 2 2 2 2 2 2 2 2 2
PY11 3 3 3 3 3 3 3 3 3 3
PY12 3 3 3 3 3 3 3 3 3 3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
Diğer Kaynaklar
  • Signals and Systems (Assoc. Prof. Orhan GAZİ)
  • S. K. Mitra, Digital Signal Processing, A Computer Based Approach, third edition, McGraw Hill, 2005.
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Ders İçi
Class Hours 3 14 42
Ders Dışı
Preparation, After Class Study 1 14 14
Interview 1 14 14
Presentation (Preparation) 1 14 14
Sınavlar
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
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 4.0