EE431 Digital Signal Processing

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Course Code Course Title Weekly Hours* ECTS Weekly Class Schedule
T P
EE431 Digital Signal Processing 3 2 6 Tue: 11:00 - 12:50 Thu: 09:00 - 09:50
Prerequisite EE321 It is a prerequisite to
Lecturer Office Hours / Room / Phone

Currently not available

E-mail
Assistant Assistant E-mail tnamas@ius.edu.ba
Course Objectives The course aims to introduce concepts and methods of DSP. It describe's discrete signals and systems and their applications. The course covers discrete-time convolution, difference equations, the z-transform and the discrete Fourier transform. Designing of both recursive and non-recursive digital filters. The use of MATLAB and Simulink for examples and reinforcement of comprehension is essential part of the course.
Textbook Text Book is: Digital Signal Processing: principles, algorithms and applications. 4th ed. Proakis and Manolakis. Pearson. 2014. Other references include: Digital Signal Processing using MATLAB. Proakis and ingle 3rd edition, Cengage Learning, 2012. Discrete Time Signal Processing. Oppenheim and Schafer, 3rd edition, Pearson, 2009. Applied Digital Signal Processing. Manolakis and Ingle, Cambridge University Press, 2012. Essentials of Digital Signal Processing. Lathi and Green, Cambridge University Press, 2014.
Learning Outcomes After successful  completion of the course, the student will be able to:
    Teaching Methods Class discussions with examples. Active tutorial sessions for engaged learning and continuous feedback on progress. Homework assignments and Projects.
    WEEK TOPIC REFERENCE
    Week 1 Introduction, Class Mechanics, Introduction to DSP Ch1
    Week 2 Discrete-Time Signals and Systems. Characterization, Description and Testing HW1 Ch2
    Week 3 The Z-Transform And Its Application Ch3
    Week 4 The Z-Transform And Its Application HW2 (HW1 Due) (test 1) Ch3
    Week 5 Frequency Analysis Of Signals And Systems Ch4
    Week 6 Frequency Analysis Of Signals And Systems HW3 (HW2 Due) (test 2) Ch5
    Week 7 Discrete Fourier Transform Ch7
    Week 8 Review, class project overview and Midterm
    Week 9 Discrete Fourier Transform Ch7
    Week 10 Implementation Of Discrete-Time Systems HW4 (HW3 Due) (test 3) Ch9
    Week 11 Implementation Of Discrete-Time Systems Ch9
    Week 12 Design Of Digital Filers HW5 (HW4 Due) (test 4) Ch10
    Week 13 Design Of Digital Filers Ch10
    Week 14 Design Of Digital Filers HW5 Due (test 5) Ch10
    Week 15 Final exam
    Assessment Methods and Criteria Evaluation Tool Quantity Weight Alignment with LOs
    Final Exam 1 35 LO: 1, 2, 3, 4
    Semester Evaluation Compenents
    Short tests (10 - 20 min) 5 10 LO: 1, 2, 3
    Midterm exam 1 20 LO: 1, 2, 3, 4
    Assignments 5 15 LO: 4, 5
    Project 1 20 LO: 4, 5
    ***     ECTS Credit Calculation     ***
     Activity Hours Weeks Student Workload Hours Activity Hours Weeks Student Workload Hours
    Lecture hourse 3 14 42 Home study 2 14 28
    Assignments 5 5 25 Assignments 5 5 25
    Active tutorials 2 10 20 Final exam study 5 1 5
    Home study 2 14 28 Home study 2 14 28
            Total Workload Hours = 150
    *T= Teaching, P= Practice ECTS Credit = 6
    Course Academic Quality Assurance: Semester Student Survey Last Update Date: 04/03/2020
    QR Code for https://ecampus.ius.edu.ba/course/ee321-electrical-machines

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