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Human Centered Computing REU


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Academic Level:
Undergraduate Students

Description:
The program runs for 8 weeks

All students participating in the REU program will take part in tutorials on tools and techniques that are widely used in data-intensive computing research, as well as on useful professional development topics (e.g., applying to graduate school, writing NSF graduate fellowship applications). Weekly enrichment lectures will be provided by faculty mentors and visiting speakers to showcase the breadth of research opportunities available in the data-intensive computing domain. Undergraduate participants will have the opportunity to interact with incoming graduate students invovlved in a co-located NSF-funded program to help launch their research work. Numerous excursions, social events, and outings are also planned through the program. At the conclusion, students will present their work in a poster session, and funding is also available to help students to travel to regional and national conferences to present their work.

Students will be matched with a faculty mentor at the beginning of the REU program, and each student will participate in a focused research project. We have a large team of experienced faculty mentors working with this REU who supervise research in a broad range of data-intensive computing areas, from algorithms and data mining/analytics to high-performance compuing platforms to the software infrastructure required to support data-intensive applications.

The REU program provides all student participants with low-cost on-campus housing (if needed), a generous stipend, library access, membership in on-campus recreational facilities, and assistance with travel costs to/from Clemson.

Application Requirements:

•Applicants must be a U.S. citizens or permanent residents.

•Applicants must be undergraduate in good standing at their home institions, with plans to complete their degree program.

•Students must be willing to work a minimum of 40 hours per week and take part in all REU activities (e.g., bi-weekly tutorials, enrichment lectures, excursions, poster sessions and presentations) in addition to their mentored research work.


Participating Institution(s):
(Click an institution to see all programs it hosts)
Clemson University (Lead)

Program Materials:
 • Program Website 

This Program can be Described by:
Academic Disciplines:
Computer & Electrical Engineering
Computer Sciences
Digital Media
Information Sciences

Keywords:
Cognitive Sciences
Engineering Research
Experiment Design and Analysis
Human-Computer Interaction
Interactive Digital Multimedia
Interface Science
Multimodal Interfaces
Virtual Environments

Questions about this program?
Click here to view this program's website

This program is funded by:
National Science Foundation (NSF)


Page last updated 10/27/2016
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