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Item 6.1.4 - MScModelCompSci_CPRC_last

A7.Sc. in Modelling and Computational Sciencepage ỈOrganization and Program InformationSubmission Title PageFull Legal Name of Organization: Universit

Item 6.1.4 - MScModelCompSci_CPRC_lastty of Ontario Institute of TechnologyOperating Name of Organization: University of Ontario Institute of TechnologyCommon acronym of Organization: UOIT

URL for Organization Homepage: www.uoit.caDegree Level and Type to be awarded for program or part of program:Master of Science in Modelling and Comput Item 6.1.4 - MScModelCompSci_CPRC_last

ational ScienceProposed Degree Titles:Master of Science in Modelling and Computational ScienceProposed Degree Nomenclature:M.Sc. in Modelling and Comp

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utational ScienceDate of Submission: December 17. 2004Location where program to be delivered:University of Ontario Institute of Technology2000 Simcoe

A7.Sc. in Modelling and Computational Sciencepage ỈOrganization and Program InformationSubmission Title PageFull Legal Name of Organization: Universit

Item 6.1.4 - MScModelCompSci_CPRC_laststitute of Technology2000 Simcoe Street NorthOshawa, Ontario, L1H 7K4Tel:905-721- 3111 ext. 3235Fax:905-721- 3304Email: william.smith@uoit.caM.Sc. in

Modelling and Computational Sciencepage1Introductiona. Brief listing of programThe program leads to the degree of Master of Science in Modelling and C Item 6.1.4 - MScModelCompSci_CPRC_last

omputational Science. A student will have the option of obtaining their degree through a Thesis option or a Course-based option. The Thesis option com

Item 6.1.4 - MScModelCompSci_CPRC_last

bines course-based learning with the writing of a thesis that may involve original contributions to research, while the Course-based option has an inc

A7.Sc. in Modelling and Computational Sciencepage ỈOrganization and Program InformationSubmission Title PageFull Legal Name of Organization: Universit

Item 6.1.4 - MScModelCompSci_CPRC_lastme of completion for this degree is 20 months.Background and rationale for programThe study of observable phenomena (physical, biological, engineering

, and many others) can be approached from different perspectives and studied at various levels. Experimentalists gather data to gam an understanding o Item 6.1.4 - MScModelCompSci_CPRC_last

f the phenomena, which may lead to a theory that explains how the underlying mechanisms function and that can predict the behaviour of the phenomena.

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Often, however, analysis of the observed data In and of itself is insufficient for providing a global understanding of a phenomenon or in establishing

A7.Sc. in Modelling and Computational Sciencepage ỈOrganization and Program InformationSubmission Title PageFull Legal Name of Organization: Universit

Item 6.1.4 - MScModelCompSci_CPRC_lastessful and recognized additional method of gaining insight into the way nature works. Furthermore, some natural phenomena can only be studied using th

is approach, because they are not amenable to experimental manipulation; examples are global warming due to an increase in the concentration of carbon Item 6.1.4 - MScModelCompSci_CPRC_last

dioxide in the atmosphere, and the dynamics of galaxy evolution.

A7.Sc. in Modelling and Computational Sciencepage ỈOrganization and Program InformationSubmission Title PageFull Legal Name of Organization: Universit