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Information
| Unit | FACULTY OF ENGINEERING |
| BIOMEDICAL ENGINEERING PR. | |
| Code | BMM312 |
| Name | Signals and Systems |
| Term | 2020-2021 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 |
| Label | C Compulsory |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Doç. Dr. CABBAR VEYSEL BAYSAL |
| Course Instructor |
Doç. Dr. CABBAR VEYSEL BAYSAL
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To teach signals and system concepts in addition to signal transform techniques.
Course Content
Introduction to signals and systems. Classification of signals and systems:Continuous signals , Discrete signals. Basic concepts: Time domain analysis and causality,linearity and time dependence. Basic concepts: Time domain analysis and causality,linearity and time dependence. Laplace Transform method. Application of Laplace Transform for LTIV system analysis.Transfer functions and feedback .Frequency response and analog filtering. Fourier Series . Fourier Series representation of signals. Continuous-time Fourier Transform. Discrete-time Fourier Transform. Z Transform. State space representation and vector analyis. Non-linear systems.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Comprehends signal and system definitions and properties as well as importance of signals for engineers. |
| LO02 | Ability to establish a relationship between System and Signal. |
| LO03 | Apply continuous-time and discrete-time signal and system analysis methods. |
| LO04 | Learn the concepts of linearity, time dependence, time and frequency spaces. |
| LO05 | Understand the transformations used in signal processing and make transformation selection. |
| LO06 | Recognize computer applications of transforms 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. | 5 |
| 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. | 3 |
| 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. | 2 |
| PLO06 | Bilgi - Kuramsal, Olgusal | The ability to work effectively in intra-disciplinary (Biomedical Engineering) and multi-disciplinary teams; ability to work individually. | |
| 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. | |
| 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. | |
| 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. | |
| 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 | Sufficient knowledge in the disciplines of anatomy and physiology | |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Ability to perform measurements on living systems and to interpret the data collected from these measurements. | |
| PLO14 | Bilgi - Kuramsal, Olgusal | Solving problems related to the interaction of living organisms with materials and systems, and interpreting the outcomes. |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to signals and systems. | Reading lecture materials | |
| 2 | Classification of signals and systems:Continuous signals , Discrete signals. | Reading lecture materials | |
| 3 | Basic concepts: Time domain analysis and causality. | Reading lecture materials | |
| 4 | Basic concepts: Linearity and time dependence. | Reading lecture materials | |
| 5 | Laplace Transform method. | Reading lecture materials | |
| 6 | Application of Laplace Transform for LTIV system analysis. | Reading lecture materials | |
| 7 | Transfer functions and feedback . | Reading lecture materials | |
| 8 | Mid-Term Exam | Reading lecture materials | |
| 9 | Frequency response and analog filtering. | Reading lecture materials | |
| 10 | Fourier Series . | Reading lecture materials | |
| 11 | Fourier Series representation of signals. | Reading lecture materials | |
| 12 | Continuous-time Fourier Transform. | Reading lecture materials | |
| 13 | Discrete-time Fourier Transform. | Reading lecture materials | |
| 14 | Z Transform | Reading lecture materials | |
| 15 | Introduction Digital Filters | Reading lecture materials | |
| 16 | Term Exams | ||
| 17 | Term Exams |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |
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 | ||