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Courses/Training

Our courses are offered for free to UH community, but you must register through our course management system. If you are interested in even more basic courses (MS Office, Photoshop, etc) then please visit UH libraries technology training.

Spring 2019 Courses

101 Introduction to Cluster Computing: Linux, shell scripting, queuing systems, cluster architecture, 01/22 - 02/21, Tu Thu

311 Machine Learning : Data Analytics, Deep Learning,  01/22 - 02/21, Tu Thu

221 Data Science and Scientific Computing using Julia,  01/22 - 02/21, Tu Thu

212 Scientific Programming with python, 01/23 - 02/08 Mon Wed Fri

211 R for Data Science, 1/23 - 02/25, Mon Wed

201 Scientific Computing in C++, 01/23 - 02/25, Mon Wed

401 Debugging, Benchmarking and Performance tuning, 02/11 - 02/27, Mon Wed Fri

212 Scientific Programming with Python, 02/26 - 04/04, Tu Thu

311 Machine Learning : Data Analytics, Deep Learning, 03/01 - 03/22, Mon Wed Fri

251 Scientific Visualization & Analysis using Visit and ParaView, 02/26- 04/04, Tu Thu

303 GPU Parallel Programming, 03/25 - 04/10, Mon Wed Fri

 

Fall 2018 Courses

Introduction to Cluster Computing: Linux, shell scripting, queuing systems, cluster architecture 08/27 - 09/19 MWF
Scientific Programming with Python 08/27 - 09/26 MW
Scientific Programming with Python 08/28 - 09/27 Tu Thu
R for Data Science 08/28 - 09/27 Tu Thu
Scientific Computing in C++ 08/28 - 09/27 Tu Thu
Parallel computing with MPI 09/21 - 10/05 MWF
Machine Learning : Data Analytics, Deep Learning 08/27 - 09/19 MWF
Introduction to Cluster Computing: Linux, shell scripting, queuing systems, cluster architecture 09/28 - 10/19 MWF
Parallel computing with OpenMP 10/09 - 11/08 Tu Thu
Machine Learning : Data Analytics, Deep Learning 10/10 - 10/29 MWF
MATLAB - basics to parfor 10/02 and 10/04
Data Science and Scientific Computing using Julia 10/22 - 10/26 MWF

Summer 2018 Courses

Introduction to Cluster Computing: Linux, shell scripting, queuing systems, cluster architecture MWF 06/04 - 06/13
Scientific Programming with R MWF 06/04 -06/13
Scientific Computing in C++ MWF 06/04 - 06/13
GPU Parallel Programming MWF 06/04 - 06/13
Scientific Programming with Python MWF 06/15 - 06/25
Debugging, Benchmarking and Performance tuning MWF 06/15 - 06/25
Scientific Visualization & Analysis using Visit and ParaView MWF 06/15 - 06/25
Machine Learning : Data Analytics, Deep Learning MWF 06/15 - 06/25