Signals and Systems (EE303) Ders Detayları

Course Name Corse Code Dönemi Lecture Hours Uygulama Saati Lab Hours Credit ECTS
Signals and Systems EE303 5. Semester 3 1 0 3 7
Pre-requisite Course(s)
MATH 276
Course Language İngilizce
Course Type Service Courses Taken From Other Departments
Course Level Lisans
Mode of Delivery Face To Face
Learning and Teaching Strategies Lecture, Demonstration, Experiment, Question and Answer, Drill and Practice, Project Design/Management.
Course Coordinator
Course Lecturer(s)
  • Asst. Prof. Dr. Hakan TORA
Course Assistants
Course Objectives Understand the characteristics and representation of continuous and discrete time signals. Understand the characteristics and the mathematical representation and analysis in the time and frequency domain of linear-time-invariant systems. Understand the Fourier series and transform. Understand the Laplace transform. Solve problems using Matlab.
Course Learning Outcomes The students who succeeded in this course;
  • Analyze continuous-time and discrete-time signals and systems in the frequency domain using mixed signal classes. Use MATLAB and laboratory experiments to simulate and to analyze signals and systems of these cases
  • Utilize sampling concepts that link continuous-time and discrete-time signals and systems. Use MATLAB and laboratory experiments to simulate and to analyze signals and systems for this situation
  • Apply time-domain and frequency-domain analysis tools to communication system applications
  • Analyze continuous-time signals and system responses using the concepts of transfer function representation by use of Laplace and inverse Laplace transforms. Use MATLAB and laboratory experiments to simulate and to analyze signals and systems using these transforms
  • Apply time-domain and frequency-domain analysis tools to analog and digital filters. Use MATLAB and laboratory experiments for applications of filters
Course Content Representation and analysis of continuous and discrete time signals and systems; time and frequency analysis of linear time-invariant systems; convolution, differential and difference equations, Fourier series and Fourier transform, Laplace transform, Z-transform, sampling, quantization and discrete-time processing of continuous-time signals.

Weekly Subjects and Releated Preparation Studies

Week Subjects Preparation
1 Signals: Continuous-Time (CT) and Discrete-Time (DT) signals,Transformation of the Independent Variable,The Unit Impulse and Unit Step Functions Glance this week’s topics from the lecture
2 Systems: CT and DT Systems, System Properties Review last week and glance this week’s topics from the lecture
3 Linear Time-Invariant (LTI) Systems •DT LTI Systems: Convolution Sum •CT LTI Systems: Convolution Integral •Properties of LTI Systems •Causal LTI Systems described by differential and difference equations Glance this week’s topics from the lecture
4 LTI Systems Review last week and glance this week’s topics from the lecture
5 Fourier Series Representation of Periodic Signals •The response of LTI systems to complex exponentials •Fourier Series Representation of CT and DT signals •Properties of Fourier Series •Fourier Series and LTI systems •Filtering Glance this week’s topics from the lecture
6 Fourier Series of Periodic Signals Review last week and glance this week’s topics from the lecture
7 The CT Fourier Transform (FT) •Representation of Aperiodic Signals •The FT for Periodic Signals •Properties of the CT FT •Systems Characterized by Linear Constant-Coefficient Differential Equations Glance this week’s topics from the lecture
8 The CTFT Review last week and glance this week’s topics from the lecture
9 The CTFT Review last week and glance this week’s topics from the lecture
10 The DT Fourier Transform (FT) •Representation of Aperiodic Signals •The FT for Periodic Signals •Properties of the DT FT •Systems Characterized by Linear Constant-Coefficient Difference Equations Glance this week’s topics from the lecture
11 The DTFT Review last week and glance this week’s topics from the lecture
12 Sampling •The Sampling Theorem •Reconstruction of a signal from its Samples •Aliasing Glance this week’s topics from the lecture
13 The Laplace Transform •Properties of the Laplace Transform •Analysis of LTI Systems using the Laplace transform •The System Function Glance this week’s topics from the lecture
14 The LT Review last week and glance this week’s topics from the lecture
15 Final examination period Review topics
16 Final examination period Review topics

Sources

Course Book 1. Signals and Systems, Alan V. Oppenheim, Alan S. Willsky, and S. Hamid Nawab, 2nd Edition, Prentice-Hall, 1997.
Other Sources 2. Signals and Systems - Continuous and Discrete, R.F. Ziemer, W.H. Tranter, and D.R. Fannin, 4th Edition. Prentice Hall, 1998.
3. Computer Explorations in Signals and Systems Using Matlab, J.R. Buck, A. Singer, and M.M. Daniel, 2nd Edition, Pearson

Evaluation System

Requirements Number Percentage of Grade
Attendance/Participation - -
Laboratory 8 20
Application - -
Field Work - -
Special Course Internship - -
Quizzes/Studio Critics - -
Homework Assignments - -
Presentation - -
Project - -
Report - -
Seminar - -
Midterms Exams/Midterms Jury 2 40
Final Exam/Final Jury 1 40
Toplam 11 100
Percentage of Semester Work 60
Percentage of Final Work 40
Total 100

Course Category

Core Courses X
Major Area Courses
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

The Relation Between Course Learning Competencies and Program Qualifications

# Program Qualifications / Competencies Level of Contribution
1 2 3 4 5
1 Accumulated knowledge on mathematics, science and mechatronics engineering; an ability to apply the theoretical and applied knowledge of mathematics, science and mechatronics engineering to model and analyze mechatronics engineering problems. X
2 An ability to differentiate, identify, formulate, and solve complex engineering problems; an ability to select and implement proper analysis, modeling and implementation techniques for the identified engineering problems. X
3 An ability to design a complex system, product, component or process to meet the requirements under realistic constraints and conditions; an ability to apply contemporary design methodologies; an ability to implement effective engineering creativity techniques in mechatronics engineering. (Realistic constraints and conditions may include economics, environment, sustainability, producibility, ethics, human health, social and political problems.)
4 An ability to develop, select and use modern techniques, skills and tools for application of mechatronics engineering and robot technologies; an ability to use information and communications technologies effectively.
5 An ability to design experiments, perform experiments, collect and analyze data and assess the results for investigated problems on mechatronics engineering and robot technologies. X
6 An ability to work effectively on single disciplinary and multi-disciplinary teams; an ability for individual work; ability to communicate and collaborate/cooperate effectively with other disciplines and scientific/engineering domains or working areas, ability to work with other disciplines. X
7 An ability to express creative and original concepts and ideas effectively in Turkish and English language, oral and written, and technical drawings. X
8 An ability to reach information on different subjects required by the wide spectrum of applications of mechatronics engineering, criticize, assess and improve the knowledge-base; consciousness on the necessity of improvement and sustainability as a result of life-long learning; monitoring the developments on science and technology; awareness on entrepreneurship, innovative and sustainable development and ability for continuous renovation.
9 Consciousness on professional and ethical responsibility, competency on improving professional consciousness and contributing to the improvement of profession itself.
10 A knowledge on the applications at business life such as project management, risk management and change management and competency on planning, managing and leadership activities on the development of capabilities of workers who are under his/her responsibility working around a project.
11 Knowledge about the global, societal and individual effects of mechatronics engineering applications on the human health, environment and security and cultural values and problems of the era; consciousness on these issues; awareness of legal results of engineering solutions.
12 Competency on defining, analyzing and surveying databases and other sources, proposing solutions based on research work and scientific results and communicate and publish numerical and conceptual solutions. X
13 Consciousness on the environment and social responsibility, competencies on observation, improvement and modify and implementation of projects for the society and social relations and be an individual within the society in such a way that planing, improving or changing the norms with a criticism.

ECTS/Workload Table

Activities Number Duration (Hours) Total Workload
Course Hours (Including Exam Week: 16 x Total Hours) 16 3 48
Laboratory 8 2 16
Application
Special Course Internship
Field Work
Study Hours Out of Class 14 6 84
Presentation/Seminar Prepration
Project
Report
Homework Assignments 3 1 3
Quizzes/Studio Critics
Prepration of Midterm Exams/Midterm Jury 2 8 16
Prepration of Final Exams/Final Jury 1 10 10
Total Workload 177