Summer Hi-tech Boot Camps
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 and associates.
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/
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Leading High-Performance Computing (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), accelerated computing using GPGPU (OpenACC and CUDA), and GPU programming including Numba, Tensorflow and domain-specific CUDA libraries. 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.
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.
More information available at: http://bootcamp.rice.edu/
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Leading Data Science faculty serve as instructors for the Data Science Boot Camp at Rice University. The curriculum covers topics ranging from Python, Cloud Computing, Unsupervised and Supervised Learning to Deep Learning. 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.
Prerequisites: Participants should have some previous exposure to basic probability, statistics, linear regression, matrix and vector notation, as well as some familiarity with Python programming languages.
For a detailed description of the curriculum, navigate to the curriculum page at http://bootcamp.rice.edu/
More information available at: http://bootcamp.rice.edu/
