Asee peer logo

A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing Course

Download Paper |

Conference

2013 ASEE Annual Conference & Exposition

Location

Atlanta, Georgia

Publication Date

June 23, 2013

Start Date

June 23, 2013

End Date

June 26, 2013

ISSN

2153-5965

Conference Session

Electrical and Computer Engineering (ECE) Poster Session

Tagged Division

Electrical and Computer

Page Count

12

Page Numbers

23.64.1 - 23.64.12

Permanent URL

https://peer.asee.org/19078

Download Count

41

Request a correction

Paper Authors

biography

Roger A. Green North Dakota State University

visit author page

Roger Green received the B.S. degree in electrical and computer engineering and the M.S. and Ph.D. degrees in electrical engineering from the University of Wyoming in 1992, 1994, and 1998, respectively. During his Ph.D. studies, he also obtained a graduate minor in statistics.

He is currently an Associate Professor with the Electrical and Computer Engineering department at North Dakota State University, where he teaches courses in signals and systems, digital signal processing, random processes, communications, controls, embedded systems, and others. His main research interests include digital and statistical signal processing, time series analysis, spectral and time-frequency analysis, array processing, real-time systems, and data adaptive techniques.

visit author page

Download Paper |

Abstract

A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing CourseIn this paper, we describe multiple components of a longitudinal study of student performance inan elective applied digital signal processing course. First, we overview course organization andlearning objectives. Next, we present data and analysis on student performance. We assessstudent preparedness over the period from 2002 to 2012 using, as a course pretest, the discrete-time signals and systems concept inventory (DT SSCI) developed by Wage and Buck. Pretestperformance establishes a baseline for various student performance data, including hardware-based project grades over the same eleven-year period. Final exam performance data ispresented from 2006, the year the course adopted a standardized final exam that is similar instructure to the DT SSCI but custom designed for this particular course. Particular attention ispaid to the time period beginning in 2008, when students began field-testing a digital signalprocessing text coauthored by the course instructor. Since this is an elective course, we includeselect department-wide Fundamentals of Engineering (FE) exam data to provide an improvedcontext for course data and analysis. Data is interpreted through a combination of statisticalanalysis, student feedback, and instructor observations. Successes and difficulties in assessmentmethodology and process are discussed, including recommendations for improvement.

Green, R. A. (2013, June), A Longitudinal Study of Student Performance in an Elective Applied Digital Signal Processing Course Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, Georgia. https://peer.asee.org/19078

ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2013 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015