NCSI: Learner for Sonification/Visualization of Scientific Data

Status	Completed
Mentor Name	Stephen Harnish
Mentor's XSEDE Affiliation	Research Allocation/Education Allocation (Ongoing participation in NCSI workshops, education allocations at OSC or the NCSA's Blue Waters. Past PI for two BWSIP (2011 and 2014). Participant in two LittleFe Buildout events.)
Mentor Has Been in XSEDE Community	4-5 years
Project Title	Learner for Sonification/Visualization of Scientific Data
Summary	These research assistants or 'learners' will prepare for later work with mathematics, computer science and physics faculty in molecular dynamics simulations, as well as sonification and visualization of scientific data.
Job Description	After mastering core programming constructs and techniques in Python and C/C++ languages, these learners will run basic MD simulations using LAMMPS packages and visualization tools. Finally more independent code development in Python/C/C++ will be expected. This work will be done on a local Linux cluster to prepare the students for future large-scale supercomputer production runs--as would be appropriate for an apprentice or intern to pursue.
Computational Resources	Besides personal resources of faculty and those known through the SC'11 and SC'12 education programs, these learners will also utilize resources available at the HPC University.
Contribution to Community
Position Type	Learner
Training Plan	The student should have had some basic programming experience before--either preferrably through an introductory Computer Programming course, or elementary exercises in programming in a math or science class. In the case of this fall of 2017, the student who I have chosen for this position will be both taking a course introducing her to programming in C++ as well as a 200 level course which is an introduction to HPC for Scientific Research.
Student Prerequisites/Conditions/Qualifications	To be successful, one should be comfortable with the challenges that naturally come with semi-independent learning/research. It is also important to communicate on a regular basis (e.g., daily and weekly) the questions, discoveries and successes found through out the fall internship.
Duration	Semester
Start Date	09/01/2017
End Date	12/08/2017