Discovery Park Undergraduate Research Internship Program

"An Exploratory study of the scope and nature of computational science"

About the Project

Project Time & Type:
Fall 2012 - DURI
Research area(s):
STEM
Project Description:
Simulation based engineering and science has been identified as a field centered at the intersection of several disciplines --namely computational and applied mathematics, engineering science, and computer science-- where modern computational methods, computational thinking, devices, and collateral technologies combine to address problems far outside the scope of traditional numerical methods. The purpose of this study is to identify what are the core computational methods that are pervasive across different disciplines in computational science and engineering. The study will start by identifying a set of important concepts, their respective threshold concepts and their relationship (e.g., by creating a concept map). The next step will be to create a data collection instrument to validate the initial findings through interviews and surveys with faculty who does research in computational science and engineering.
Expected Student Contributions:
The student will be involved in all stages including identifying an initial set of important concepts and common computational methods used in computational science and engineering by searching literature and textbooks. Then, the student will visualize the findings in a graphical form (e.g., table, concept map). The student will create a data collection instrument to validate this initial framework. Finally, the student will validate the framework by conducting interviews and surveys with faculty members and advanced doctoral students in computational science and engineering. This work will use resources from Purdue Computational Science and Engineering (CS&E) and Computational Life Sciences (CLS) concentrations and the Cybercenter.
Related Website(s):
http://www.gradschool.purdue.edu/cse/ http://web.ics.purdue.edu/~admagana/rocketed/ http://hpcg.purdue.edu/
Desired Qualifications:
minimum GPA of 3.0, completed a minimum of 30 credit hours of college courses, completed at least one college statistics/math course, engineering background, willing to complete human subjects online training, proficiency in MATLAB is a plus, responsible, strong work ethics.
Estimated Weekly Hours:
9
Department awards independent research credits for this project?
Yes, 3 credit hours

Professor in Charge

Name:
Magana deleon, Alejandra
Deptartment/College:
computer and information technology

Student Supervisor

Name:
Alejandra Magana
Title:
Assistant professor

Cooperating Faculty

Name:
Bedrich Benes
Deptartment/College:
Computer Graphics Technology