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REU Site: Computation Methods for Understanding Music, Media, and Minds


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an IBP member program

Academic Level:
For most summer research programs, this is your upcoming status as of the fall. Always check with the individual program's website for details.

Undergraduates - Sophomore
Undergraduates - Junior

Description:
How can a computer learn to read an ancient musical score? What can methods from signal processing and natural language analysis tell us about the history of popular music? Can a computer system teach a person to better use prosody (the musical pattern of speech) to become a more effective public speaker? REU students will explore an exciting, interdisciplinary research area that combines machine learning, audio engineering, music theory, and cognitive science. Each student will be mentored by two or more faculty members drawn from Computer Science, Electrical and Computer Engineering, Brain and Cognitive Science, the program in Digital Media Studies, and the Eastman School of Music.

Eligible students are:

Students with a minimum cumulative GPA of 2.85 in the major or

Students with exceptional academic progress in the two preceding semesters

Full-time sophomores (60 credits minimum), and juniors who can commit to a summer research experience

U.S. Citizen or Permanent Resident

Students receive assistance with travel to and from program, a $4,500 stipend, housing, and meal allowance. There is an accompanying professional development series to help students prepare for conducting independent research, creating inclusive research environments, the graduate admissions process, the general record exam, and scientific communication.
Recently updated.just posted!

Application Deadline: 2/15/2018

Program Dates: 5/29/2018 - 7/31/2018

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

Program Materials:
 • Program Website 

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

Keywords:
Cognitive Neuroscience
Machine Vision & Learning

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


Page last updated 1/26/2018
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