Incorporating Real World Examples in a Random Signal Analysis Course | IEEE Conference Publication | IEEE Xplore

Incorporating Real World Examples in a Random Signal Analysis Course


Abstract:

This Research to Practice Full Paper presents the design and initial evaluation of engaging students in a random signal analysis course through a set of application-orien...Show More

Abstract:

This Research to Practice Full Paper presents the design and initial evaluation of engaging students in a random signal analysis course through a set of application-oriented mini-projects involving real-world examples. Many students struggle learning the concepts of probability and random processes due to its abstract nature. The goal of these mini-projects is to help students better understand abstract course concepts, let them practice applying course concepts to solve real world problems, and at the same time, improve their critical thinking and problem solving skills. This paper will describe the design and implementation of these mini-projects, as well as their preliminary evaluation.
Date of Conference: 08-11 October 2022
Date Added to IEEE Xplore: 29 November 2022
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ISSN Information:

Conference Location: Uppsala, Sweden

I. Introduction

The study of probability and random processes is fundamental to many engineering disciplines. Many undergraduate engineering students often take a course in this subject. In Electrical Engineering, random signal analysis is a required course in the junior year. Students often have trouble grasping concepts in this subject.

References

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