Title :
Incorporating the NSF/TCPP Curriculum Recommendations in a Liberal Arts Setting
Author_Institution :
Dept. of Comput. Sci., Ursinus Coll., Collegeville, PA, USA
Abstract :
This paper examines the integration of the NSF/TCPP Core Curriculum Recommendations in a liberal arts undergraduate setting. We examine how parallel and distributed computing concepts can be incorporated across the breadth of the undergraduate curriculum. As a model of such an integration, changes are proposed to Data Structures and Design and Analysis of Algorithms. These changes were implemented in Design and Analysis of Algorithms and the results were compared to previous iterations of that course taught by the same instructor. The student feedback received shows that the introduction of these topics made the course more engaging and conveyed an adequate introduction to this material.
Keywords :
algorithm theory; art; computer science education; data structures; distributed processing; NSF/TCPP curriculum recommendations; algorithm analysis; algorithm design; core curriculum recommendations; data structures; distributed computing concepts; liberal arts setting; liberal arts undergraduate setting; parallel computing concepts; student feedback; undergraduate curriculum; Algorithm design and analysis; Art; Computer science; Data structures; Distributed computing; Education; Parallel processing; Curriculum development; Distributed Computing; Parallel Processing;
Conference_Titel :
Parallel and Distributed Processing Symposium Workshops & PhD Forum (IPDPSW), 2012 IEEE 26th International
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0974-5
DOI :
10.1109/IPDPSW.2012.165