R and Big Data

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R and Big DataWIMEK_logo_RGB.png

14 - 15 October 2021

 
 
 
 
 

 

Scope

big-data-cloudThe 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. 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

For this course a good understanding of R is required: this is not a course to learn R. This means that if you are using R regularly (e.g., several times a week), write your own scripts and perhaps even packages, you will benefit from this course.

Programme

Day 1:

•    9.00 Welcome and introduction 
•    9.30 The Big Data issue 
•    10.30 Coffee break
•    11.00 Profiling and efficient R programming 
•    12.30 Lunch
•    13.30 Profiling and efficient R programming (contd.) 
•    15.00 Coffee break
•    15.30 Reproducible research 
•    17.00 Q&A 
•    17.30 Closing

Day 2:

•    9.00 R memory management and big data 
•    10.30 Coffee break
•    11.00 HPC in R 
•    12.30 Lunch
•    13.30 Big data analyses: a case of machine learning 
•    15.00 Coffee break
•    15.30 Big data analyses: a case of machine learning (contd.) 
•    16.30 Q&A 
•    17.00 Evaluation and closing

General information
Target Group The course is aimed at PhD candidates, postdocs, and other academics
Group Size Min. 16 / Max. 26 participants
Course duration 2 days
Language of instruction English
Frequency of recurrence At least every 2 years
Number of credits 0.6 ECTS
Lecturers Dr. Ron Wehrens (Business Unit Biometris, Wageningen Plant Research, Wageningen University & Research),
Dr. Sven Warris (Business Unit Bioscience, Wageningen Plant Research, Wageningen University & Research)
Prior knowledge For this course a good understanding of R is required: this is not a course to learn R. This means that if you are using R regularly (e.g., several times a week), write your own scripts and perhaps even packages, you will benefit from this course. Please note that you have to bring your own laptop. 
Location Wageningen University Campus, Orion Building, Room B3040. Please note that you have to bring your own laptop.
When possible within COVID regulations, this edition of the course will be held onsite at WUR campus. If interest is high, we will organise an online edition in 2022. 
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For non-WUR PE&RC members 50% of the accommodation costs can be reimbursed with a maximum of €30,- per night. For more information contact Sabine Vreeburg (sabine.vreeburg@wur.nl).
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,-
All other PhD candidates
Postdocs and staff of the above mentioned Graduate Schools
€ 310,- € 360,-
All others € 445,- € 495,-

1 The course fee includes a reader, 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 14 AUGUST 2021

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. Ron Wehrens
Email: ron.wehrens@wur.nl

Dr. Sabine Vreeburg (PE&RC)
Phone: +31 (0) 317 489853
Email: sabine.vreeburg@wur.nl

Registration

To register, please enter your details below and click "Register".