Information
Code | BMM312 |
Name | Signals and Systems |
Term | 2022-2023 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 |
Dr. Öğr. Üyesi CABBAR VEYSEL BAYSAL
(A Group)
(Ins. in Charge)
|
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 | Scientific problems encountered in the field of medicine and medical technologies; the ability to solve problems by applying the technical approaches of mathematics, science and engineering sciences. | 4 |
PLO02 | Yetkinlikler - Öğrenme Yetkinliği | To be able to improve oneself by embracing the importance of lifelong learning and by following the developments in science-technology and contemporary issues. | 3 |
PLO03 | Yetkinlikler - Öğrenme Yetkinliği | Assess the contributions of engineering solutions on medicine, medical technologies and healthcare. | 3 |
PLO04 | Yetkinlikler - Öğrenme Yetkinliği | Identifying problems related to biomedical engineering. | 4 |
PLO05 | Yetkinlikler - Öğrenme Yetkinliği | Modeling problems related to biomedical engineering. | 5 |
PLO06 | Beceriler - Bilişsel, Uygulamalı | Analyzing data and interpreting the results. | 3 |
PLO07 | Beceriler - Bilişsel, Uygulamalı | To be able to use modern techniques and computational tools required for engineering applications. | 4 |
PLO08 | Beceriler - Bilişsel, Uygulamalı | Ability to analyze and design a process in line with a defined goal. | 3 |
PLO09 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | To be able to understand the problems and wishes of the medical doctor in their scientific studies from an engineering point of view. | 4 |
PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Expressing ideas verbally and in writing, clearly and concisely. | |
PLO11 | Yetkinlikler - Alana Özgü Yetkinlik | To be conscious of calibration and quality assurance systems in Biomedical Engineering. | |
PLO12 | Beceriler - Bilişsel, Uygulamalı | Design and Implement Experiments. | |
PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Ability to act independently, set priorities and creativity. | 3 |
PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Being aware of national and international contemporary issues in the field of Biomedical Engineering. | |
PLO15 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Ability to work in interdisciplinary teams. | |
PLO16 | Yetkinlikler - Alana Özgü Yetkinlik | To have a sense of professional and ethical responsibility. |
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 |