Lausanne, 7-9 December 2015
|Venue:||University of Lausanne, Genopode Building|
|ECTS:||1 (given a passed exam at the end of the course)|
|Fee:||150 CHF for academics. Others, please contact us|
|Application deadline:||27 November 2015|
|Application status:||Closed (course full)|
This 3-day advanced course is targeted at life scientists or bioinformaticians who are comfortable using the R statistical software in practice, and want to extend their knowledge. Lectures will be conducted in the morning, with practicals in the afternoon.
Topics covered include, among others:
- Best practices for programming in R
- Using R to conduct reproducible analysis
- Data structures and manipulation of data within R
- Profiling code
At the end of the course, participants will be able to:
- reduce the number of potential errors and bugs when programming in R
- efficiently use R data structures in order to store and process their data
- profile their code to find and remove bottlenecks in order to make it run faster
Knowledge / competencies:
- Participants must be familiar with the R statistical analysis package prior to attending the course.
- Participants who have followed the Introduction to statistics course should have sufficient knowledge in R, provided that they have regularly practiced after the course and that they are comfortable using the software.
- Having attended the First Steps with R SIB course does not provide enough background to follow this course; regular practice with R extending beyond the First Steps course is required.
- If you have any question about the prerequisites, please do not hesitate to contact us at email@example.com.
Technical: A WiFi-equipped laptop with latest R version installed.
The registration fees for academics are 150 CHF. This includes course content material, coffee breaks and a social dinner on Monday evening. Participants from non-academic institutions should contact us before application.
The course is currently full.
Deadline for application and cancellation is set to 27 November 2015. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions, available at http://www.isb-sib.ch/training/training-general-conditions.html.
You will be informed by email of your registration confirmation.
University of Lausanne, Genopode building, classroom 2020 (Metro M1 line, Sorge station)
The course will be taught by Frédéric Schütz and coordinated by Diana Marek.
We will recommend 1 ECTS credits for this course (given a passed exam at the end of the session). This represents about 30 hours of work, including preparation before the course, lectures and practicals, and a project to finish outside of the course.
You are welcome to register to the SIB courses mailing-list to be informed of all future courses and workshops, as well as all important deadlines using the form here.
For more information, please contact firstname.lastname@example.org.