|Date||4 - 7 June 2018|
|Speaker(s)||Linda Dib, Frédéric Schütz, Philippe Jacquet|
|Fees||*academic: 240 CHF - for-profit: 0 CHF|
|Cancellation deadline||25 May 2018|
The course if full therefore closed.
In this course, biologists, computational biologists and bioinformatics scientists will acquire the key competencies that they need when dealing with big data from the health and life sciences fields. We will discuss the visualisation of large data sets, machine-leaning algorithms, linear models, classification algorithms as well introduce neural networks. Since many R functions cannot handle large datasets, we will also explore alternative solutions for several widely used statistical functions.
Biologists and bioinformaticians who need to handle large datasets, in particular those that R standard functions cannot deal with. The participants must already be confortable with R (i.e use linear models, calculate a correlation, and visualization of data using R).
At the end of the course, the participants will be able to:
(subject to changes)
The course will cover the following topics:
Day 2. Linear models
Day 4. Introduction to: Decision Tree, Random forest, Neural Networks, Deep learning
Knowledge / Competencies
The course if full, therefore closed.
The registration fees for academics are 240 CHF for academics and 1200 CHF for for-profit companies. This includes course content material, coffee breaks and social dinner on Tuesday 5 June (Save the date, more info to follow).
Deadline for registration and free-of-charge cancellation is set is set to 25/05/2018. Cancellation after this date will not be reimbursed. Please note that participation to SIB courses is subject to our general conditions.
You will be informed by email of your registration confirmation.
University of Lausanne
The course will start at 9:00 and end around 17:00. Precise information will be provided to the participants on due time.
Coordination: Diana Marek
We will recommend 1 ECTS credits for this course (given a passed exam at the end 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 email@example.com.