Level of course: PhD course
Time of year: March/April 2019
No. of contact hours/hours in total incl. preparation, assignment(s) or the like: Lectures and preparation 15 hours, exercises 12 hours, mentoring and reporting and mentoring 45 hours.
Capacity limits: Minimum 10 and maximum 20 students
Objectives of the course:
The aim of the course is to introduce the PhD student to basic notions of statistical analysis and data handling using the statistical software R.
Learning outcomes and competences:
At the end of the course, the student should be able to:
The course is divided into three parts. The first part consists of 3 days of lectures and hand-on exercises. The second part consists of 2 days of “mentoring”, where the PhD student works independently on own data, guided by the teacher. The last part consists of a short written report based on the students own data to be handed in no later than 15 April 2019. For ECTS to be awarded, PhD students must take active part in all parts of the course.
Basic skills in R, including basic notions of R programming. Some experience with statistical analysis.
Name of lecturers:
Type of course/teaching methods:
Lectures and hands-on exercises, written report.
Lecture notes written by Philippe Massicotte (distributed electronically during the course).
PhD students will be evaluated based on their active participation in all course elements and on the written report.
Department of Bioscience, Aarhus University, Roskilde
Special comments on this course:
Students are expected to bring their own computer with newest version of R installed.
11-15 March 2019. Written report to be handed in no later than 1 May 2019.
Department of Bioscience, Frederiksborgvej 399, 4000 Roskilde
Deadline for registration is 20 February 2019. Information regarding admission will be sent out no later than 27 February 2019.
For registration or for questions, please contact Niels Martin Schmidt, e-mail: firstname.lastname@example.org.