The Data Science and High Performance Computing (HPC) Boot Camps are one-week intensive training programs that will offer guided instruction and hands-on learning.
These training sessions will introduce you to the skills needed to help leverage cutting edge data analytics tools, and get you up to speed on skills required to start leveraging the latest HPC and Data Science tools. Reserve your spot and register today- space is limited!
Register online at: http://bootcamp.rice.edu/
The HPC Boot Camp – May 21-25, 2018
BioScience Research Collaborative Building, Room 280
Leading HPC faculty and staff members from Rice University serve as instructors for the HPC Boot Camp. The curriculum covers topics ranging from MPI, OpenMP, Pthreads, Performance analysis (HPCToolkit and Jumpshot), and accelerated computing using GPGPU (OpenCL and CUDA). Using Rice’s shared computing infrastructure, hands on laboratory sessions supported by the instructor and lab assistants, will be offered each day allowing participants to practice what is being taught in the class sessions. Participants will also have access to Rice resources to work on the lab exercises outside of class as desired.
Prerequisites: Participants should be comfortable with using Linux command line for program development and compiling. You should have basic knowledge of development and debugging of sequential programs in C/C++ and/or Fortran.
The Data Science Boot Camp – August 6-10, 2018
Brockman Hall, Room 101
Society has firmly entered the era of “data” and data-driven discovery and prediction will be in your future. The combination of ubiquitous network connectivity, powerful mobile computing devices, remote sensors and cameras, accurate location data, massive data-center resources, and commercial advertising incentives has spurred an astonishing growth in the collection and availability of data. To prepare you to leverage your data the Ken Kennedy Institute for Information Technology at Rice University is offering the Data Science Boot Camp to get you up to speed on skills required to start leveraging the latest data analytics tools.
Prerequisites: Participants should have some previous exposure to basic probability, statistics, linear regression, matrix and vector notation, as well as some familiarity with R and Python programming languages.