ENS211 Signals and Systems

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
ENS211 Signals and Systems 3 2 6 Tue 9:00-19:50; Thu 10:00-10:50
Prerequisite MATH102 It is a prerequisite to
Lecturer Sadina Gagula Palalic Office Hours Schedule Mon 15:00-16:00; Tue 11:00-13:00; Wed 12:00-14:00
E-mail sadina@ius.edu.ba
Phone +387 33 957 201 Office / Room No A F1.13
Assistant
E-mail sadina@ius.edu.ba
Course Objectives Introduce continuous and discrete time signals, and the analysis of both in time and frequency domains. Demonstrate an understanding of the fundamental properties of linear systems, by explaining the properties to others. Use linear systems tools, especially transform analysis and convolution, to analyze and predict the behavior of signals and linear systems as a whole C17.
Textbook Fundamentals of Signals and Systems using the Web and Matlab, Edward W. Kamen, Bonnie S. Heck., Prentice Hall, 2007
Learning Outcomes After successful  completion of the course, the student will be able to:
  1. Explain the concept of signal and its application in engineering
  2. Explain basic properties of linear systmes and their relation to various signals
  3. Explain the role of convolution in the analysis of linear time invariant systems, and use convolution to determine the response of linear systems to arbitrary inputs.
  4. Explain and demonstrate different transforms techniques (Fourier series, Fourier Transform, Discrete Fourier Transform) in signal processing
  5. Demonstrate an understanding of the relation among the transfer function, convolution, and the impulse response, by explaining the relationship
Teaching Methods Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. Assigments
WEEK TOPIC REFERENCE
Week 1 Introduction to Signals and Systems. Overview. Lecture notes
Week 2 Classification of signals. Various types of signals used in signal processing. Chapter 1
Week 3 Discrete time signals. Examples of Systems. Chapter 1
Week 4 Time-Domain Models of Systems Chapter 2
Week 5 Time-Domain Models of Systems Chapter 2
Week 6 Fourier series: trigonometric and complex Chapter 3
Week 7 Fourier transform (FT) and Inverse FT. FT properties. Chapter 3
Week 8 MIDTERM EXAM
Week 9 Fourier analysis of Discrete time signals: Discrete Fourier Transform (DFT) Chapter 4
Week 10 Fast Fourier Transform Algorithm. Chapter 4
Week 11 Fourier analysis of systems Chapter 5
Week 12 Fourier analysis of systems Chapter 5
Week 13 Analysis of ideal filters Chapter 5
Week 14 Group project presentation
Week 15 Review
Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
Final Exam 1 40 1,2,3,4,5
Semester Evaluation Compenents
Midterm exam 1 30 1,2,3,4,5
Assignments 5 20 1,2,3,4,5
Quiz 1 10 1,2,3,4,5
***     ECTS Credit Calculation     ***
 Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
Lecture Hours 3 15 45 Midterm exam study 10 1 10
Assignments 5 5 25 Final Exam Study 15 1 15
Home study 3 15 45 0
Reporting 2 5 10
        Total Workload Hours = 150
*T= Teaching, P= Practice ECTS Credit = 6
Course Academic Quality Assurance: Semester Student Survey Last Update Date: 07/10/2019
QR Code for https://ecampus.ius.edu.ba/course/math102-calculus-ii

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