Best practices in HPC (19H09007)

Beschreibung

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.

Kursinformationen

Datum
  • Mittwoch, 27. März 2019,
    09:00 Uhr bis 17:00 Uhr
  • Anmeldebeginn
    17.12.2018
    Anmeldeschluss
    26.03.2019
    Kosten
    CHF 60.00
    Dozierende
    Dr. Ruben Cabezon
    Geoffrey Fucile
    Veranstaltet durch

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

    Kursinhalte

    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.

    Adressatinnen und Adressaten

    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"

    Besonderheiten

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

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