Undergraduate
Faculty of Engineering and Architecture
Computer Engineering
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Computer Engineering Main Page / Program Curriculum / Signals and Systems for Computer Engineers

Signals and Systems for Computer Engineers

Course CodeSemester Course Name LE/RC/LA Course Type Language of Instruction ECTS
CSE4050 4 Signals and Systems for Computer Engineers 2/0/2 CC English 5
Course Goals
In this course, students are encouraged to learn

The mathematical techniques used to represent and classify the continuous and discrete signals,

Systems concept and system properties,

Frequency domain analyis and representation of continuous-time signals and systems.
 
Prerequisite(s) none
Corequisite(s) none
Special Requisite(s) none
Instructor(s) Professor Aydemir ARISOY
Course Assistant(s)
Schedule Tuesday 14:00-15:50 (Theory-online-) Tuesday 16:00-17:50 (Tutorial+MATLAB/Simulink-online-)
Office Hour(s) Wednesday 09:30-10:00
Teaching Methods and Techniques Lectures and Tutorial+MATLAB/Simulink (online)
Principle Sources Luis Chaparro and Aydin Akan, Signals and Systems using MATLAB 3rd Ed. Academic Press, 2019, ISBN: 9780128142042.
Other Sources

Signals and Systems, Second Edition, A. V. Oppenheim, A. S. Willsky with S. H. Nawab, Prentice-Hall, 1997.

Signals and Systems, Simon Haykin and Barry Van Veen, 2nd, Edition, John Wiley, 2003.

 

Course Schedules
Week Contents Learning Methods
1. Week Introduction to Signals Oral presentation and Laboratory
2. Week CT and DT signals and basic operations on signals Oral presentation and Laboratory
3. Week Exponential, unit impulse and unit step functions Oral presentation and Laboratory
4. Week Introduction to Systems Oral presentation and Laboratory
5. Week System Properties Oral presentation and Laboratory
6. Week Linear Time-Invariant Systems and Convolution Oral presentation and Laboratory
7. Week Midterm
8. Week LTI System Properties Oral presentation and Laboratory
9. Week Fourier Series Representation of CT Periodic Signals Oral presentation and Laboratory
10. Week Fourier Series Representation of CT Periodic Signals Oral presentation and Laboratory
11. Week Properties of Fourier Series Oral presentation and Laboratory
12. Week The Continuous-Time Fourier Transform Oral presentation and Laboratory
13. Week Properties of Fourier Transforms Oral presentation and Laboratory
14. Week Filtering Concept Oral presentation and Laboratory
15. Week
16. Week
17. Week
Assessments
Evaluation tools Quantity Weight(%)
Midterm(s) 1 30
Quizzes 4 30
Final Exam 1 40


Program Outcomes
PO-1Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied information in these areas to model and solve engineering problems.
PO-2Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
PO-3Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way so as to meet the desired result; ability to apply modern design methods for this purpose. (Realistic constraints and conditions may include factors such as economic and environmental issues, sustainability, manufacturability, ethics, health, safety issues, and social and political issues according to the nature of the design.)
PO-4Ability to devise, select, and use modern techniques and tools needed for engineering practice; ability to employ information technologies effectively.
PO-5Ability to design and conduct experiments, gather data, analyse and interpret results for investigating engineering problems.
PO-6Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
PO-7Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language.
PO-8Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
PO-9Awareness of professional and ethical responsibility.
PO-10Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development.
PO-11Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of engineering solutions.
Learning Outcomes
LO-1Define the concept of a signal and system and explain their relation to be able to classify signals according to signal properties.
LO-2Operate with fundamental signal models: unit step, unit impulse, sinusoidal, and exponential signals.
LO-3Categorize systems according to: continuous or discrete time, linear or nonlinear, time-varying or invariant, causal or non-causal, invertible or not invertible, stable or unstable.
LO-4Describe the concept of a system’s impulse response.
LO-5Express a basic periodic signal in a Fourier series.
LO-6Calculate Fourier transform representation of an aperiodic signal and analyze and plot its magnitude and phase spectra.
Course Assessment Matrix:
Program Outcomes - Learning Outcomes Matrix
 PO 1PO 2PO 3PO 4PO 5PO 6PO 7PO 8PO 9PO 10PO 11
LO 1
LO 2
LO 3
LO 4
LO 5
LO 6