Course signal processing algorithms is an important part of electronic engineering education. An important part of this course is a laboratory during which students are expected to practically implement and compare algorithms explained during frontal lectures and exercises. The traditional option is to provide the laboratory in a dedicated room on campus. However, physical presence on campus has been problematic in recent years. Hence, special logistics were designed to evaluate the feasibility of the hybrid option. In the frames of this logistics, lectures are provided by ZOOM. Laboratory assignments are to be executed by MATLAB. The simplest option to test algorithms is to use synthetic signals - signals prepared by using some code or signals contained in some external files. In order to provide a real challenge to the students, they were asked to create real-life audio signals by using internal microphones of student’s laptops. The internal speaker or external earphones of the student’s laptop can be used to compare original and processed signals in the audio range. In this way, students can do the assignments by writing MATLAB code and by using the hardware at their homes (individually or in groups of two or even three students) during ZOOM sessions. Additionally, students were asked to present two small projects in the class physically. This approach enabled to minimize the need for the physical presence of the students in the class while providing adequate individual grading for every student in the group.

Authors:
Samuel Kosolapov, Braude Academic College of Engineering, Israel

About the Presenter(s)
Dr Samuel Kosolapov is a University Assistant Professor/Lecturer at Braude Academic College of Engineering in Israel

See this presentation on the full schedule – Saturday Schedule

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