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Non-traditional projects in the undergraduate AI course

Authors:

Amruth Kumar,

Deepak Kumar,

Ingrid RussellAuthors Info & Claims

ACM SIGCSE Bulletin, Volume 38, Issue 1

Pages 479 - 480

https://doi.org/10.1145/1124706.1121491

Published: 03 March 2006 Publication History

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Abstract

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References

[1]

Blank, D.S., Kumar, D., Meeden, L., and Yanco, H. The Pyro toolkit for AI and robotics. AI Magazine. Vol 27(1), Spring 2006. AAAI Press.

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[2]

Blank, D.S., Kumar, D., Meeden L., and Yanco, H. Pyro: A Python-based Versatile Programming Environment for Teaching Robotics. Journal of Educational Resources in Computing (JERIC). Vol 4(3), Sept 2005. ACM Press, 1--15.

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[3]

Blank, D., Kumar, D. and Meeden, L. Python robotics: An Environment for Exploring Robotics Beyond LEGOs. Proc. of SIGCSE 2003, Reno, NV, 317--321.

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[4]

Blank, D.S., Kumar, D., Meeden L., and Yanco, H. Avoiding the Karel-the-Robot Paradox: A framework for making sophisticated robotics accessible. AAAI Spring Symposium, March 2004. AAAI Press Technical Report SS-04-01, 48--51.

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Kumar, A. "Using Robots in the Undergraduate Artificial Intelligence Course: An Experience Report", Proceedings of FIE 2001, 2001, Session T4D.

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[6]

Kumar, A. "Three Years of Using Robots in the Artificial Intelligence Course -- Lessons Learned." Journal of Educational Resources in Computing (JERIC) Special issue on Robotics in Education. Vol 4(3), Sept 2005. ACM Press, 1--15.

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[7]

Russell, I., Markov, Z. and Neller, T. Enhancing Undergraduate AI Courses through Machine Learning Projects. Proceedings of FIE 2005, IEEE Press, Oct. 2005, Session T3E.

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Russell, I., Markov, Z. and Neller, T., Georgiopoulos, M., and Coleman, S. Unifying an Introduction to Artificial Intelligence Course through Machine Learning Laboratory Experiences, Proceedings of the ASEE Conference, June 2005.

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Cited By

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Ng DLee MTan RHu XDownie JChu S(2022)A review of AI teaching and learning from 2000 to 2020Education and Information Technologies10.1007/s10639-022-11491-w28:7(8445-8501)Online publication date: 21-Dec-2022
https://dl.acm.org/doi/10.1007/s10639-022-11491-w
Williams RPark HOh LBreazeal C(2019)PopBotsProceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v33i01.33019729(9729-9736)Online publication date: 27-Jan-2019
https://dl.acm.org/doi/10.1609/aaai.v33i01.33019729
Straub JKerlin SKim E(2017)Analysis of student characteristics and feeling of efficacy in a first undergraduate artificial intelligence course2017 IEEE International Conference on Electro Information Technology (EIT)10.1109/EIT.2017.8053322(010-015)Online publication date: May-2017
https://doi.org/10.1109/EIT.2017.8053322
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Index Terms

Non-traditional projects in the undergraduate AI course
1. Social and professional topics
  1. Professional topics
    1. Computing education
      1. Computing education programs
        Computer science education

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Non-traditional projects in the undergraduate AI course
SIGCSE '06: Proceedings of the 37th SIGCSE technical symposium on Computer science education

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Information

Published In

ACM SIGCSE Bulletin Volume 38, Issue 1

March 2006

553 pages

ISSN:0097-8418

DOI:10.1145/1124706

Issue’s Table of Contents

SIGCSE '06: Proceedings of the 37th SIGCSE technical symposium on Computer science education
March 2006
612 pages
ISBN:1595932593
DOI:10.1145/1121341
Program Chairs:
Doug Baldwin
SUNY Geneseo
,
Paul Tymann
Rochester Institute of Technology
,
Susan Haller
SUNY Potsdam
,
Ingrid Russell
University of Hartford

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 March 2006

Published in SIGCSE Volume 38, Issue 1

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Cited By

View all

Ng DLee MTan RHu XDownie JChu S(2022)A review of AI teaching and learning from 2000 to 2020Education and Information Technologies10.1007/s10639-022-11491-w28:7(8445-8501)Online publication date: 21-Dec-2022
https://dl.acm.org/doi/10.1007/s10639-022-11491-w
Williams RPark HOh LBreazeal C(2019)PopBotsProceedings of the Thirty-Third AAAI Conference on Artificial Intelligence and Thirty-First Innovative Applications of Artificial Intelligence Conference and Ninth AAAI Symposium on Educational Advances in Artificial Intelligence10.1609/aaai.v33i01.33019729(9729-9736)Online publication date: 27-Jan-2019
https://dl.acm.org/doi/10.1609/aaai.v33i01.33019729
Straub JKerlin SKim E(2017)Analysis of student characteristics and feeling of efficacy in a first undergraduate artificial intelligence course2017 IEEE International Conference on Electro Information Technology (EIT)10.1109/EIT.2017.8053322(010-015)Online publication date: May-2017
https://doi.org/10.1109/EIT.2017.8053322
Devanur NHuang ZKorula NMirrokni VYan Q(2016)Whole-Page Optimization and Submodular Welfare Maximization with Online BiddersACM Transactions on Economics and Computation10.1145/28925634:3(1-20)Online publication date: 6-Apr-2016
https://dl.acm.org/doi/10.1145/2892563
Morad AYavits LGinosar R(2015)GP-SIMD Processing-in-MemoryACM Transactions on Architecture and Code Optimization10.1145/268687511:4(1-26)Online publication date: 9-Jan-2015
https://dl.acm.org/doi/10.1145/2686875
Matheou GEvripidou P(2015)Architectural Support for Data-Driven ExecutionACM Transactions on Architecture and Code Optimization10.1145/268687411:4(1-25)Online publication date: 9-Jan-2015
https://dl.acm.org/doi/10.1145/2686874
Breughe MEyerman SEeckhout L(2015)Mechanistic Analytical Modeling of Superscalar In-Order Processor PerformanceACM Transactions on Architecture and Code Optimization10.1145/267827711:4(1-26)Online publication date: 9-Jan-2015
https://dl.acm.org/doi/10.1145/2678277
Seshadri VYedkar SXin HMutlu OGibbons PKozuch MMowry T(2015)Mitigating Prefetcher-Caused Pollution Using Informed Caching Policies for Prefetched BlocksACM Transactions on Architecture and Code Optimization10.1145/267795611:4(1-22)Online publication date: 9-Jan-2015
https://dl.acm.org/doi/10.1145/2677956
Russell IColeman SMarkov Z(2012)A contextualized project-based approach for improving student engagement and learning in AI coursesProceedings of Second Computer Science Education Research Conference10.1145/2421277.2421278(9-15)Online publication date: 9-Sep-2012
https://dl.acm.org/doi/10.1145/2421277.2421278
Saeedloei NGupta G(2011)A logic-based modeling and verification of CPSACM SIGBED Review10.1145/2000367.20003748:2(31-34)Online publication date: 1-Jun-2011
https://dl.acm.org/doi/10.1145/2000367.2000374
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