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An introductory microcontroller programming laboratory course for first-year students.

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Title: An introductory microcontroller programming laboratory course for first-year students.
Authors: Nürnberg, Thomas1 thomas.nuernberg@kit.edu, Beuth, Thorsten1, Becker, Jürgen1, Puente León, Fernando1
Source: International Journal of Electrical Engineering Education. Apr2016, Vol. 53 Issue 2, p99-113. 15p. 2 Color Photographs, 1 Diagram, 4 Charts, 2 Graphs.
Subjects: Microcontroller programming, Experiential learning, Digital signal processing, Creative ability, Learning
Abstract: This article presents an introductory microcontroller programming course on digital signal processing for undergraduate university level. The course is intended to provide insight into information technology and to prepare students for more complex exercises later on in their studies. Solutions to overcome pedagogical obstacles like the fear of new technologies and to minimise technological incompatibilities between different operating systems while setting up a programming tool chain are presented. This leads to an increased scalability of the course, allowing hundreds of students to attend each year. In the case presented here, the average number of participants was 300. The problem-oriented task assignments are defined leading to a final creative improvement task, for which the students’ solutions are analysed. The course is evaluated and an outlook on further improvements is given. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Electrical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: An introductory microcontroller programming laboratory course for first-year students.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electrical+Engineering+Education%22">International Journal of Electrical Engineering Education</searchLink>. Apr2016, Vol. 53 Issue 2, p99-113. 15p. 2 Color Photographs, 1 Diagram, 4 Charts, 2 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Microcontroller+programming%22">Microcontroller programming</searchLink><br /><searchLink fieldCode="DE" term="%22Experiential+learning%22">Experiential learning</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+signal+processing%22">Digital signal processing</searchLink><br /><searchLink fieldCode="DE" term="%22Creative+ability%22">Creative ability</searchLink><br /><searchLink fieldCode="DE" term="%22Learning%22">Learning</searchLink>
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  Data: This article presents an introductory microcontroller programming course on digital signal processing for undergraduate university level. The course is intended to provide insight into information technology and to prepare students for more complex exercises later on in their studies. Solutions to overcome pedagogical obstacles like the fear of new technologies and to minimise technological incompatibilities between different operating systems while setting up a programming tool chain are presented. This leads to an increased scalability of the course, allowing hundreds of students to attend each year. In the case presented here, the average number of participants was 300. The problem-oriented task assignments are defined leading to a final creative improvement task, for which the students’ solutions are analysed. The course is evaluated and an outlook on further improvements is given. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Electrical Engineering Education is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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