SIGCSE 2014 Curriculum Special Session:
Bringing CS2013 Recommendations for Parallel and Distributed Computing into Your CS Curriculum
This is the resources page for the special session on March 6, 2014 at 10:45 AM - Noon
Presenters: Dick Brown, St. Olaf College, Libby Shoop, Macalester College, and Joel Adams, Calvin College
The ACM-IEEE CS2013 curricular recommendations include a dramatic growth in parallel and distributed computing (PDC) topics, in response to the necessary industry shift toward multicore computing, and to emerging technologies such as cloud computing. How can your institution integrate those recommendations into your undergraduate CS curriculum? In this special session, leaders in PDC education will succinctly present their curricular strategies in relation to CS2013 recommendations, while attendees carry out a workshop-style activity to identify opportunities and assemble resources for blending more PDC content into their own local CS curricula.
Outline of the session
(All times approximate)
*** Link to this resource page: www.cs.stolaf.edu/CS2013 ***
Brief introduction (10:45) – Dick Brown
Some planning resources (11:00) – Dick Brown
- Worksheet – Suggested questions for your institution, for your personal use.
Word (Microsoft Word 2007 (.docx) 6kB Mar1 14); PDF (Acrobat (PDF) 116kB Mar1 14); Google doc (make a copy to edit)
- CS2013 curriculum – ACM-IEEE/CS Curriculum guidelines for undergraduate CS degree programs (all fields)
CS2013 website; direct links to Final report (518 pages), Curriculum spreadsheet (all fields)
- One-page PDC spreadsheet – Parallel and distributed computing topics in CS2013
PDF (Acrobat (PDF) 87kB Nov16 13) XLSX (Excel 2007 (.xlsx) 87kB Nov16 13) Google doc (make a copy to edit)
- Extended PDC spreadsheet – Parallel and distributed computing topics in CS2013
PDF (Acrobat (PDF) 114kB Nov16 13) XLSX (Excel 2007 (.xlsx) 120kB Nov16 13) Google doc (make a copy to edit)
Five-minute "lightning talks" with discussion (11:10)
Speakers will relate their undergraduate curricular work in parallel and distributed computing to CS2013. Immediate opportunity to ask questions
Steven Bogaerts, DePauw University – Teaching parallelism in a Python-based CS1 at a small institution.
Slides (PowerPoint 2007 (.pptx) 168kB Mar4 14)
Final discussion. (11:40)
Further curriculum planning resources for parallel and distributed computing
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