brief-report

Nifty Assignments

Authors:

Josh Hug, and

Stuart RegesAuthors Info & Claims

SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education

February 2015

Pages 673 - 674

https://doi.org/10.1145/2676723.2677327

Published: 24 February 2015 Publication History

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Abstract

A great CS assignment is a delight to all, but the path to one can be most roundabout. Many CS students have had their characters built up on assignments that worked better as an idea than as an actual assignment. Assignments are hard to come up with, yet they are the key to student learning. The Nifty Assignments special session is all about promoting and sharing the ideas and ready-to-use materials of successful assignments.

Each presenter will introduce their assignment, give a quick demo, and describe its niche in the curriculum and its strengths and weaknesses. The presentations (and the descriptions below) merely introduce each assignment. A key part of Nifty Assignments is the mundane but vital role of distributing the materials -- handouts, data files, starter code -- that make each assignment ready to adopt. The Nifty Assignments home page, http://nifty.stanford.edu, gathers all the assignments and makes them and their support materials freely available.

If you have an assignment that works well and would be of interest to the CSE community, please consider applying to present at Nifty Assignments. See the nifty.stanford.edu home page for more information.

Cited By

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Lin K(2021)Do Abstractions Have Politics? Toward a More Critical Algorithm Analysis2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT)10.1109/RESPECT51740.2021.9620635(1-5)Online publication date: 23-May-2021
https://doi.org/10.1109/RESPECT51740.2021.9620635
Love MBoisvert CUruchurtu EIbbotson IClear ACuadros-Vargas ECarter JTupac Y(2016)Nifty with DataProceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education10.1145/2899415.2899431(344-349)Online publication date: 11-Jul-2016
https://dl.acm.org/doi/10.1145/2899415.2899431

Index Terms

Nifty Assignments
1. Applied computing
  1. Education
2. Social and professional topics
  1. Professional topics
    1. Computing education

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Information & Contributors

Information

Published In

SIGCSE '15: Proceedings of the 46th ACM Technical Symposium on Computer Science Education

February 2015

766 pages

ISBN:9781450329668

DOI:10.1145/2676723

General Chairs:
Adrienne Decker
Rochester Institute of Technology
,
Kurt Eiselt
University of British Columbia
,
Program Chairs:
Carl Alphonce
University at Buffalo
,
Jodi Tims
Baldwin Wallace College

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 February 2015

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Brief-report

Conference

SIGCSE '15

Sponsor:

SIGCSE

SIGCSE '15: The 46th ACM Technical Symposium on Computer Science Education

March 4 - 7, 2015

Missouri, Kansas City, USA

Acceptance Rates

SIGCSE '15 Paper Acceptance Rate 105 of 289 submissions, 36%;

Overall Acceptance Rate 1,595 of 4,542 submissions, 35%

Upcoming Conference

SIGCSE Virtual 2024

Sponsor:
sigcse

1st ACM Virtual Global Computing Education Conference

December 5 - 8, 2024

Virtual Event , NC , USA

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Cited By

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Lin K(2021)Do Abstractions Have Politics? Toward a More Critical Algorithm Analysis2021 Conference on Research in Equitable and Sustained Participation in Engineering, Computing, and Technology (RESPECT)10.1109/RESPECT51740.2021.9620635(1-5)Online publication date: 23-May-2021
https://doi.org/10.1109/RESPECT51740.2021.9620635
Love MBoisvert CUruchurtu EIbbotson IClear ACuadros-Vargas ECarter JTupac Y(2016)Nifty with DataProceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education10.1145/2899415.2899431(344-349)Online publication date: 11-Jul-2016
https://dl.acm.org/doi/10.1145/2899415.2899431

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