Abstract
After completing this module, a student should be able to:
-
Describe an example of a computational science simulation model.
-
Define computational science, model, simulation, visualization, validation, verification.
-
Appreciate the need to determine the reliability of simulation model results.
-
List three sources of error in simulation model results.
-
Appreciate the value of computational science.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Shodor.org. What is Computational Science? http://www.shodor.org/refdesk/Help/whatiscs. Retrieved June 2011
Wilensky U (1997a) NetLogo Rope model. http://ccl.northwestern.edu/netlogo/models/Rope. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston
Wilensky U (1997b) NetLogo Wave Machine model. http://ccl.northwestern.edu/netlogo/models/WaveMachine. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston
Wilensky U (1999) NetLogo. http://ccl.northwestern.edu/netlogo/. Center for Connected Learning and Computer-Based Modeling, Northwestern University, Evanston
Acknowledgement
The original version of this module was developed by Dr. Larry Vail.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Brewer, K., Bareiss, C. (2016). Introduction to Computational Science. In: Concise Guide to Computing Foundations. Springer, Cham. https://doi.org/10.1007/978-3-319-29954-9_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-29954-9_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-29952-5
Online ISBN: 978-3-319-29954-9
eBook Packages: Computer ScienceComputer Science (R0)