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UBDA Training Course: High-Performance Computing in R Workshop

Training Course

Poster-training_course_2_Mar_2022
  • Date

    02 - 18 Mar 2022

  • Organiser

  • Time

    14:30 - 16:00

  • Venue

     

Summary

You are cordially invited to attend a training course spanning of 3 weeks. This training will introduce you to the R programming language and the RStudio Integrated Development Environment in the UBDA HPC (High Performance Computing) Platform. It covers various topics from setting up a RStudio environment in UBDA to statistical and ML (Machine Learning) – DL (Deep Learning) analysis with R. During the three weeks, the course includes UBDA HPC structure and workflow, starting an RStudio session, Bootstrap regression models, Random Forest, R packages for parallel processing, and Tensorflow for R. Participants are expected to have basic knowledge of R. Please find the arrangements below.

Course

 

High-Performance Computing in R Workshop (Poster)

Date

 

2 Mar 2022 to 18 Mar 2022

Venue   Online via Microsoft Teams

Session activities

 
  • R Using UBDA HPC services (1st online session: 2 Mar 2022, 14:30 – 16:00)
  • Statistics and Machine Learning Analysis (2nd online session: 9 Mar 2022,14:30 – 16:00)
  • R Parallel Computing (3rd online session: 16 Mar 2022, 14:30 – 16:00)
Consultation Sessions  
  • 4 Mar 2022 (11:00 – 12:00)
  • 11 Mar 2022 (11:00 – 12:00)
  • 18 Mar 2022 (11:00 – 12:00)

Registration / Quota  

 

PolyU staff and students
60 (first-come-first serve via online registration)
Confirmation emails will be sent to the registrants on 25 Feb 2022

Registration   https://www.polyu.edu.hk/pfs/index.php/899922?lang=en
Course Topics  
  • R Using UBDA HPC services
    • Introduction to UBDA Facility
    • Set up a RStudio session in UBDA HPC
    • Install R packages
  • Statistics and Machine Learning Analysis
    • Bootstrap regression models
    • Random Forest
  • R Parallel Computing
    • Serial versus Parallel processing
    • R packages support parallel processing
    • Tensorflow for R

Should you have any enquiry, please contact Dr Vincent Ng at vincent.ng.comp@polyu.edu.hk and Dr Heung Wong at heung.wong@polyu.edu.hk

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