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Information
| Code | BMM312 |
| Name | Signals and Systems |
| Term | 2024-2025 Academic Year |
| Semester | 6. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi CABBAR VEYSEL BAYSAL |
| Course Instructor |
1 2 |
Course Goal / Objective
To teach signals and system concepts in addition to signal transform and system representation techniques.
Course Content
Introduction to signals and systems. Classification of signals and systems. Continuous time signals. Discrete time signals. Systems and modeling: Continuous and discrete time systems. Systems properties: Linearity, causality, continuity. Time domain analysis of systems. Fourier series and representation of signals with Fourier series. Continuous time Fourier transform. Discrete time Fourier transform. Laplace transform and use in system analysis. Z transform and use in discrete time system analysis. Sampling and Nyquist theorem. Frequency response and introdcution to filters.
Course Precondition
Having studied Calculus I and II courses. Having studied Linear Algebra course. Having studied Advanced Calculus I and II
Resources
Textbook: Signals and Systems: Analysis Using Transform Methods and Matlab, M.J.Roberts, 2nd ed., Mc Graw Hill Inc. 2012
Notes
Supplementary Textbook: Signals and Systems, 2e,Oppenheim and Willsky. 2011 Prentice Hall Inc.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Comprehension of signal and system definitions and properties as well as importance of signals for engineers. Gathering the relation between systems and signals |
| LO02 | Learning linearity, causality and time dependence concepts. Recognizing the continuous-discrete signal and system analysis methods. |
| LO03 | Using the transform methods used for signal processing.Making proper selection of transform methods to be used. |
| LO04 | Recognizing computer applications of transformations used in signal processing |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge in mathematics, natural sciences, and biomedical engineering, along with the ability to use theoretical and applied knowledge in these areas to solve complex engineering problems. | 4 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, formulate, and solve complex Biomedical Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | The ability to design a complex system, process, device, or product in Biomedical Engineering under realistic constraints and conditions to meet specific requirements; the ability to apply modern design methods for this purpose. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | The ability to select and use modern techniques and tools necessary for analyzing and solving complex problems encountered in Biomedical Engineering applications; the ability to use information technologies effectively. | 4 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Ability to design and conduct experiments, collect data, analyze and interpret results to investigate complex engineering problems or discipline-specific research topics in Biomedical Engineering. | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | The ability to work effectively in intra-disciplinary (Biomedical Engineering) and multi-disciplinary teams; ability to work individually. | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | The ability to communicate effectively verbally and in writing; knowledge of at least one foreign language; ability to write effective reports in Biomedical Engineering and understand written reports, prepare design and production reports, make effective presentations, and give and receive clear and understandable instructions. | 4 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Get awareness of the necessity of lifelong learning; the ability to access information in the field of Biomedical Engineering, to follow developments in science and technology, and the ability to constantly self-renewal. | 3 |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acting following ethical principles, professional and ethical responsibility in the field of Biomedical Engineering, and knowledge of the standards used in engineering practice. | 4 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Knowledge of project management and practices in the field of Biomedical Engineering, such as risk management and change management; awareness about entrepreneurship, innovation, and sustainable development. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Understanding the universal and societal impacts of Biomedical Engineering applications on health, environment, and safety; awareness of the legal implications of Biomedical Engineering solutions. | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Understanding of biology and physiology. | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Ability to make measurements on living systems and interpret data collected from these measurements. | |
| PLO14 | Bilgi - Kuramsal, Olgusal | Ability to solve problems related to the interactions between living and nonliving materials and systems. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to signals and systems.Classification of signals and systems | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 2 | Continuous time signals , | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 3 | Discrete time signals. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 4 | Systems and modeling. Continous time and discrete time systems | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 5 | Systems properties: Linearity, causality, continuity. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 6 | Time domain analysis of systems-1. Continous time systems | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 7 | Time domain analysis of systems-2. Discrete time systems | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Reading lecture materials | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Fourier series and representation of signals with Fourier series. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 10 | Continuous time Fourier transform. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 11 | Discrete time Fourier transform. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 12 | Laplace transform and use in system analysis. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 13 | Z transform and use in discrete time system analysis. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 14 | Sampling and Nyquist theorem. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 15 | Frequency response and introduction to filters. | Reading lecture materials | Öğretim Yöntemleri: Anlatım |
| 16 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
|
| 17 | Term Exams | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 109 | ||
| Total Workload / 25 (h) | 4,36 | ||
| ECTS | 4 ECTS | ||