DocumentCode
1997614
Title
Integrating Parallel and Distributed Computing Topics into an Undergraduate CS Curriculum
Author
Danner, Andrew ; Newhall, Tia
Author_Institution
Comput. Sci. Dept., Swarthmore Coll., Swarthmore, PA, USA
fYear
2013
fDate
20-24 May 2013
Firstpage
1237
Lastpage
1243
Abstract
We present changes to our undergraduate computer science curriculum for a small liberal arts college. The changes are designed to incorporate parallel and distributed computing topics into all levels of our curriculum, with the goal of ensuring that all graduating CS majors have exposure to, and experience with, parallel and distributed computing. Our effort is motivated by the ACM/IEEE Ironman Curriculum, which includes a increased focus on these important topics. In addition, we use the NSF/IEEE-TCPP model curriculum as a guide in our effort. Because of the small size of our department, and the breadth constraints of a liberal arts college, we face some unique challenges. Our multi-year effort involves at least six courses in our curriculum. Of these courses, one is a new introductory-level course, while the others are existing courses whose content has been modified to include more focus on these important topics. We present our curricular changes and we discuss an initial evaluation of the first implementation of these changes.
Keywords
computer science education; educational courses; further education; graphics processing units; multiprocessing systems; parallel processing; ACM curriculum; GPGPU computing; IEEE ironman curriculum; IEEE-TCPP model curriculum; NSF model curriculum; cluster computing; distributed computing topics; introductory-level course; liberal arts college; multicore computers; parallel computing topics; undergraduate CS curriculum; undergraduate computer science curriculum; Algorithm design and analysis; Computers; Distributed computing; Graphics processing units; Materials; Programming; Synchronization; CS Curriculum; Parallel and Distributed Computing;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2013 IEEE 27th International
Conference_Location
Cambridge, MA
Print_ISBN
978-0-7695-4979-8
Type
conf
DOI
10.1109/IPDPSW.2013.67
Filename
6651011
Link To Document