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EEM 204 - Signals and Systems

Faculty of Engineering and Natural Sciences · Electrical & Electronics Engineering (English 30%) · Undergraduate

ECTS: 5 T+P+L: 3+0+0 Compulsory
Coordinator: Dr. Öğr. Üyesi Mohammed SALEM

Course Objective

The objective of this course is to analyzing signals and systems using mathematical modelling, Laplace, and Fourier transforms.

Course Content

This course covers the fundamentals of signals and systems analysis, focusing on continuous-time and discrete-time signals (Complex exponentials, Fourier Transform, Laplace Transform and Z Transform) and representations of linear time-invariant systems.

Required Resources

Signals and Systems, 2nd Ed., A. V. Oppenheim, A. S. Willsky, Pearson, 1996, ISBN: 0-13-814757-4. 

Explanations

Istanbul Sabahattin Zaim University affirms the importance of integrity and respecting the work of each individual.  As an institution of higher education, the university views academic integrity as an educational as well as judicial issue.  Academic violations include (but not limited to) the following: plagiarism, inappropriate collaboration, dishonesty in examinations, dishonesty in papers, work done for one course and submitted to another, deliberate manipulation of data, etc. See the Student Handbook at http://www.izu.edu.tr/handbook/ for more details.

Rules

  1. Attendance: It is the university policy that attendance is compulsory.  A student missing more than 30% of the total allocated course time and/or more than 20% of the total allocated laboratory time will receive a WF (Withdrawal While Failing).
  2. You will be considered absent if you miss the first 15 minutes of the class time.
  3. Getting Help: Students are encouraged to consult their instructor during office hours, or by appointment. However, before seeking help, make sure you read your lecture notes and/or textbook. Study the similar examples to the problem then try to solve the problem yourself. Students who miss a class without a valid written and/or legitimate excuse will not be offered a one-on-one lecture to substitute the missed class.
  4. Academic Misconduct will not be tolerated.  You are expected to submit your own work. Copying, cheating or plagiarism, when detected, will result in an FF grade in the course for all who are involved (i.e. it does not matter if somebody copied your homework, project etc., you are guilty as well).
  5. There will be no extra exam or grading for this course. 

Course Learning Outcomes

  1. Describe signals mathematically and understand how to perform mathematical operations on signals.
  2. Classify signals as continuous-time vs. discrete-time, periodic vs. aperiodic, energy signal vs. power signal, odd vs. even.
  3. Compute the output of an LTI system given the input and the impulse response through convolution sum and convolution integral.
  4. Understand the intuitive meaning of the frequency domain and the importance of analyzing and processing signals in the frequency domain.
  5. Use Laplace transform and evaluate system properties in the related field.
  6. Use some signal processing applications used in practice in projects.
  7. Use MATLAB software for some basic signal processing, work in teams and write reports.

Core Area Distribution

(46) Mathematics and Statistics%10 (48) Computing%30 (52) Engineering and Engineering Trades%60

Teaching Methods

ExpressionQuestion-AnswerDiscussionExercise and PracticeProblem SolvingProject Based Learning (Including Field Work)

Assessment & Evaluation

HomeworkProject / DesignTesting (Essay / Tests: True-Falls, multiple-choice, short answer, matching)

ECTS / Workload

ActivityQuantityDuration (h)Total Workload
Course Duration (Including Exam Week)15345
Out of Class Study Period13339
Midterm166
Quiz5210
Assignment2612
Practice177
Final166

Course Schedule

WeekSubjectPreparation
1Continuous and Discrete Time SystemsOppenheim, Ch. 1.1-1.4
2Continuous and Discrete Time SystemsOppenheim, Ch. 1.5-1.6
3Convolution in Continuous Linear Time-Invariant SystemsOppenheim, Ch. 2.1-2.2
4Properties of LTI Systems.Oppenheim, Ch. 2.3 – 2.5
5Laplace & Invers of Laplace TransformationOppenheim, Ch. 9.1-9.4
6Properties of Laplace TransformationOppenheim, Ch. 9.5-9.6
7Midterm ExamOppenheim, Ch. 1+2+9
8Fourier SeriesOppenheim, Ch. 3.2, 3.4, 3.5
9Contınuous-Time Fourier TransformOppenheim, Ch. 4.1-4.2
10Properties of CT Fourier & Invers of Fourier TransformOppenheim, Ch. 4.3-4.6
11Differential Equations solution by Fourier TransformOppenheim, Ch. 4.7
12Spectrum RepresentationOppenheim, Ch. 3.3
13Sampling and AliasingOppenheim, Ch. 7
14Exercise and MATLABMATLAB Simulink
15Final ExamOppenheim + MATLAB