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Course module: BMB502214
BMB502214
Introduction to R for Life Sciences
Course info
Course codeBMB502214
ECTS Credits1.5
Category / LevelM (Master)
Course typeCourse
Language of instructionEnglish
Offered byFaculty of Medicine; Graduate School of Life Sciences; Cancer, Stem Cells and Development Biology;
Contact persondr. A.S.J. Melquiond
Telephone0302532875
E-maila.s.j.melquiond@uu.nl
Teaching period
MASTER  (29/08/2016 to 26/08/2017)
Teaching period in which the course begins
MASTER
Time slot-: Not in use
Study mode
Full-time
RemarkDates 21-25 nov 2016 & 23-27jan 2017 Apply via www.CSnD.nl max 30 participants per course
Course application processadministratie onderwijsinstituut
Enrolling through OSIRISNo
Enrolment open to students taking subsidiary coursesNo
Pre-enrolmentNo
Waiting listNo
Course placement processadministratie onderwijsinstituut
Course goals
Objectives:
  1. getting familiar with R and Rstudio;
  2. working with data structures, objects and functions;
  3. basic flow control;
  4. importing and manipulating data;
  5. plotting data;
  6. writing (simple) functions;
  7. libraries;
  8. application of basic statistics.
Content
Period: 21 November 2016  – 25 November 2016 and 23 January – 27 January 2017, see www.CSnD.nl/courses

Course description
Schedule
The course runs for five days from approximately 9.00 till 16.00. Each day consists of a morning and afternoon session that will start with a short lecture followed by an interactive hands-on computer practical to familiarize students with R. Attendance is required at all times. A programming assignment in R is used for grading the course.

Content
Due to technological advances in molecular biology (genomics, large-scale systems biology) research in the life sciences is becoming increasingly data rich. Currently, appropriate analyses of large-scale datasets (proteomics, genomes, Htseq, RNAseq, ChIPseq, etc) are a limiting factor. The aim of this course is to give a basic training in R for molecular biologists.
R is a widely used software environment for statistical computing and provides a wide variety of libraries for data manipulation, modeling and visualization. The course will give an introduction to R and Rstudio, an integrated development environment for R. Throughout the course you will use a single data set to take you through the basic functionality of R and Rstudio in an interactive fashion. Supplemented with several commonly used libraries, plotting and analyses routines and supporting data sets this will familiarize students with R and at the same time show the value of using R for analyzing and visualizing large amounts of data. At the beginning of the course you will be given a programming assignment that has to be handed in at the end of the course, based upon which a grade will be given.

Prerequisites knowledge
  • A good understanding of molecular biology
  • Previous experience with computer programming is not required
Course material:
  • R (will be available on the provided course laptops, www.r-project.org)
  • Rstudio (will be available on the provided course laptops, www.rstudio.com)
Registration
Please register online on the CS&D website: www.CSnD.nl/courses. CS&D students have priority in registration until 3 weeks before the start of the course. Thereafter, registration is on 'first-come-first-serve' basis until the maximum number of 30 participants is reached.

Mandatory for students in Master’s programme
N.A.
Entry requirements
Required materials
-
Instructional formats (attendance required)
Basic lecture (Required)

Tests
Final result
Test weight100
Minimum grade-

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