TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| BIOMEDICAL ENGINEERING PR. | |
| Code | BMM312 |
| Name | Signals and Systems |
| Term | 2018-2019 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 | Yüz Yüze 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 | - | 1. Solve the scientific problems encountered in medicine and medical technologies by applying technical approaches of disciplines. 2. Self development on science and technology issues. 3. Assess the contributions of engineering solutions on medicine, medical technologies and healthcare | 4 |
| PLO02 | - | 1. Define the problems about Biomedical Engineering 2. Modelling the problems about Biomedical Engineering. | 4 |
| PLO03 | - | 1. Analyse data and interpret results | 3 |
| PLO04 | - | 1. Utilize modern techniques and computing tools which are essential for Engineering applications | 4 |
| PLO05 | - | 1. Design and analyse a defined process 2. Recognise national and international problems for Biomedical Engineering | 5 |
| PLO06 | - | Understand the research problems of medical doctor with engineering perspective | 5 |
| PLO07 | - | 1. Describe the ideas clearlywith written and verbally 2. Have the interdisciplinary teamwork skills | 5 |
| PLO08 | - | 1. Have knowledge on calibration and quality assurance systems in Biomedical Engineering 2. Have the sense of responsibility and professional ethics | 3 |
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 | ||