BMM312 Signals and Systems

4 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Code BMM312
Name Signals and Systems
Term 2023-2024 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

Update Time: 10.05.2023 03:31