Best practices in HPC (19H09007)

Description

Statistics are an integral aspect of scientific research, particularly for the life sciences which rely heavily on quantitative methodologies. This course is designed to provide researchers in the life sciences with experience in the application of basic statistical analysis techniques to a variety of biological problems.

Attendees will work through short tutorials on the topics discussed in the class. These practical exercises will be implemented in the widely used "R" language and environment for statistical computing and graphics.

At the end of the course, participants should be comfortable exploring their data towards choosing the most appropriate model(s) for their analysis, implementing the model(s) and exploring the parameter space, and meaningfully interpreting the results.

Course Information

Date
  • Wednesday, March 27, 2019,
    9:00 AM till 5:00 PM
  • Registration Opens
    December 17, 2018
    Registration Deadline
    March 26, 2019
    Course Fees
    CHF 60.00
    Trainer
    Dr. Ruben Cabezon
    Geoffrey Fucile
    Organized by

    sciCORE Center for Scientific Computing
    Klingelbergstrasse 50
    4056 Basel
    scicore-admin@unibas.ch

    Content

    This one-day course is a follow-up to the sciCORE course "Introduction to HPC". We will focus on different aspects related to the everyday usage of HPC facilities in order to enable an efficient and productive framework to develop your research. These include (among other topics) advanced SLURM usage, I/O management, and profiling.

    Target Group

    This course is aimed at researchers that want to deepen their knowledge of HPC usage. This course is a follow-up to the sciCORE course "Introduction to HPC"

    Feature

    Please find the date of the course and the corresponding registration link on the website: sciCORE Trainings

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