Information Package
baskent.edu.tr

Program of Electrical and Electronics Engineering (English)

EEE301

SIGNALS AND SYSTEMS I

Course Code
EEE301
Semester
Fifth Term (Fall)
Theory+Practice
3 + 1
ECTS
6
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study3
SemesterFifth Term (Fall)
ECTS6
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Will be able to model linear systems.
  2. Will be able to learn and to utilize signal types.
  3. Will be able to learn and to utilize continous-time and discrete-time Fourier series.
  4. Will be able to learn and to utilize continous-time and discrete-time Fourier transforms.
  5. Will be able to gain problem solving skills for signals and systems problems.
  6. Will be able to be able to utilize the related software for signals and systems.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme Components
Course DescriptionClassification of systems. Systems defined by differential or difference equations. Impulse responses of continuous-time and discrete-time systems. Convolution representation of linear time-invariant systems. Fourier series. Fourier transform. Discrete time Fourier transform.
Course Contents
WEEK TOPICS
1st Week Signals and Systems Definitions
2nd Week LTI Continuous and Discerete Time Systems
3rd Week LTI Continuous and Discerete Time Systems
4th Week Fourier Transform for periodic signals
5th Week Fourier Transform for periodic signals
6th Week Convolution Integral and Sum
7th Week Fourier Transform for continuous time signals
8th Week Midterm
9th Week Fourier Transform for continuous time signals
10th Week Fourier Transform for continuous time signals
11th Week Fourier Transform for discrete time signals
12th Week Fourier Transform for discrete time signals
13th Week Fourier Transform for discrete time signals
14th Week Review
Recommended or Required ReadingOppenheim, A. V., Willsky, A. S., (1997) "Signals and Systems", Prentice-Hall, 2nd Ed.
Buck-Daniel-Singer, (2002) "Signals and Systems using MATLAB", Prentice-Hall, 2nd Ed.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Quiz 4 20
Total(%) 55
Contribution of In-term Studies to Overall Grade(%) 55
Contribution of Final Examination to Overall Grade(%) 45
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 2 4 8
Individual or group work 14 4 56
Preparation for Final exam 1 22 22
Course hours 14 4 56
Preparation for Midterm exam 1 18 18
Laboratory (including preparation) 0 0 0
Final exam 1 2 2
Homework 2 8 16
Total Work Load180
Total Work Load / 30 (h)6
ECTS Credit of the Course6
Language of InstructionEnglish
Work Placement(s)No

Programme Qualifications / Learning Outcomes

LO1 LO2 LO3 LO4 LO5 LO6
K1 X X X X X
K2
K3
K4 X
K5
K6
K7
K8 X
K9
K10
K11