R and Big Data

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R and Big Data

Thursday 1 - Friday 2 June 2023

 
Scope

big-data-cloudFor this course a basic understanding of R is required: this is not a course to learn R. The main purposes of this course can be summarised as:

  • Introduction to Big Data and the similarities and differences between regular modelling approaches and big data modelling
  • Understanding of possibilities and limitations of R in big data research
  • Introduction to high performance computing (HPC)
  • Reproducible research

The aim of the course is to help experienced R users to tackle the problems they face when analysing big data sets. The course will consist of a mixture of lectures and computer labs (in a ratio of approximately 60/40), so there is plenty of time for hands-on exercises.

Tentative Programme
  • Day 1, morning: Big Data (data, case studies, workflow), Profiling and Efficient Programming (part I) 
  • Day 1, afternoon: Profiling and Efficient Programming (part II), Reproducible Research
  • Day 2, morning: Big Data R memory issues, Parallel and High Performance Computing 
  • Day 2, afternoon: Big Data AnalysesL a case of Machine learning (part I & II)
General information
Target Group The course is aimed at PhD candidates, postdocs, and other academics
Group Size Min. 15 / Max. 25 participants
Course duration 2 days
Language of instruction English
Frequency of recurrence Every 2 years
Number of credits 0.6 ECTS
Lecturers Dr. ing. Maikel Verouden (Biometris, Wageningen Plant Research, Wageningen University & Research), Dr. Sven Warris (Business Unit Bioscience, Wageningen Plant Research, Wageningen University & Research)
Prior knowledge Some experience with the software package R are required. If you are unsure whether your R skill level is sufficient to attend this course, please contact the course coordinator
Location Wageningen University Campus
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit proefwageningen.nl. Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Finally, there are a number of groups on Facebook where students announce subrent possibilities and things like that. Examples include: Wageningen Room Subrent, Wageningen Room Sublets, Room Rent Wageningen, and Wageningen Student Plaza. Note that besides the restaurants in Wageningen, there are also options to have dinner on Wageningen Campus.
Fees 1
  EARLY-BIRD FEE 2 REGULAR FEE 2
PE&RC / WIMEK / WASS / EPS / VLAG / WIAS PhD candidates with an approved TSP € 135,- € 185,-
PE&RC postdocs and staff € 270,- € 320,-
All other academic participants € 310,- € 360,-
Non academic participants € 445,- € 495,-

1 The course fee includes coffee/tea, and lunches. It does not include accommodation (NB: options for accommodation are given above)
2 The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 6 APRIL 2023

Note:

  • If you need an invoice to complete your payment, please send an email to office.pe@wur.nl, including ALL relevant details that should be mentioned on the invoice (e.g., purchase order no., specific addresses, attendees, etc.).
  • The Early-Bird policy is such that the moment of REGISTRATION (and not payment) is leading for determining the fee that applies to you.
  • Please make sure that your payment is arranged within two weeks after your registration.
  • It is the participant's responsibility to make sure that he/she (or his/her secretary) completes the payment correctly and in time.
PE&RC Cancellation Conditions
  • Up to 4 (four) weeks prior to the start of the course, cancellation is free of charge.
  • Up to 2 (two) weeks prior to the start of the course, a fee of € 135,- will be charged.
  • In case of cancellation within two weeks prior to the start of the course, a fee of € 310,- will be charged.
  • If you do not show at all, a fee of € 445,- will nevertheless be charged.

Note: If you would like to cancel your registration, ALWAYS inform us and do not assume that by NOT paying the participation fee, your registration is automatically cancelled, because it isn't (and do note that you will be kept to the cancellation conditions).

More information

Dr Sanja Selaković (PE&RC)
Phone: +31 (0) 317 480269 
Email: sanja.selakovic@wur.nl