COMING SUMMER 2019
The Data Science and High Performance Computing (HPC) Boot Camps are one-week intensive training programs that offer guided instruction and hands-on learning.¬† Both camps are held annually in the summer at Rice University and are taught by Rice University faculty.
These training sessions introduce 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. Early registration is recommended as these courses fill up fast!
More information available at: http://bootcamp.rice.edu/
The HPC Boot Camp
Monday - Friday
June 10 -14, 2019
Rice BioScience Research Collaborative¬†
REGISTRATION FOR THE HPC BOOT CAMP IS NOW OPEN!
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‚Äôs 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
Leading Data Science faculty serve as instructors for the Data Science Boot Camp at Rice University.¬†¬† The curriculum covers topics ranging from R, Python, Cloud Computing, Unsupervised and Supervised Learning to Deep Learning.¬† Using Rice‚Äôs 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.
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.
For a detailed description of the curriculum, navigate to the curriculum page at¬†http://bootcamp.rice.edu/
REGISTRATION FOR THE DATA SCIENCE BOOT CAMP WILL OPEN SOON...CHECK BACK FOR DETAILS.¬†