Computational science as an interdisciplinary bridge
SIGCSE '99 The proceedings of the thirtieth SIGCSE technical symposium on Computer science education
Teaching the Nintendo generation to program
Communications of the ACM - Supporting community and building social capital
A first course in computational science: (why a math book isn't enough)
SIGCSE '02 Proceedings of the 33rd SIGCSE technical symposium on Computer science education
Computer science with the sciences: an emphasis in computational science
ACM SIGCSE Bulletin
Teaching computation to undergraduate scientists
Proceedings of the 35th SIGCSE technical symposium on Computer science education
An interdisciplinary undergraduate science informatics degree in a liberal arts context
Proceedings of the 37th SIGCSE technical symposium on Computer science education
Note to self: make assignments meaningful
Proceedings of the 38th SIGCSE technical symposium on Computer science education
Introduction to Programming in Java: An Interdisciplinary Approach
Introduction to Programming in Java: An Interdisciplinary Approach
Use of satellite imagery in multidisciplinary projects
Proceedings of the 41st ACM technical symposium on Computer science education
A framework for enhancing the social good in computing education: a values approach
Proceedings of the final reports on Innovation and technology in computer science education 2012 working groups
Introductory programming meets the real world: using real problems and data in CS1
Proceedings of the 45th ACM technical symposium on Computer science education
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During the past two years, we have been creating curricular material centered around complex problems rooted in sustainability. Since multi-disciplinary learning is one of our primary goals, these projects are most meaningful when they connect students from different disciplines working toward a common understanding. However, strong disciplinary components present in their solutions also allow us to frame these projects from strictly disciplinary perspectives. In this paper, we show how they can be used for increased engagement in the context of data structures and algorithms. We review two new ones to explore (i) the structural characteristics of the western part of the U.S. power-grid, and (ii) the effects of over-harvesting on fish stocks.