Aim and content

This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH.

Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list.

The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member faculties. All other participants must pay the course fee

Learning objectives
A student who has met the objectives of the course will be able to:
1. use programming principles (loops and functions) to handle repetitive tasks
2. use functions in R
3. use loops in R
4. do efficient data manipulation, visualization, and aggregation

Content
The course covers use of the statistical software package R. The aim is to take the intermediate R user to the next level, and make use of programming techniques for more efficient use of R. A key focus in on introducing core programming principles such as loops and functions.
The course will have four half-day lectures after which the students will work on some exercises. This will give the students a chance to use and work with different aspects of R and apply the principles to their own research.

Participants
Ph.D.-students and health researchers with a basic knowledge of statistics corresponding to the course on basic statistics for health researchers and with a good working knowledge of R, e.g., as obtained by having already followed an introductory course on R.
Participants are expected to bring their own laptop with R installed for the exercises.
Max. 20 participants.

Relevance to graduate programmes
The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH:
– All graduate programmes

Language
English

Form
Lectures in and exercises in four half days, plus four exercise hours.

Course credit
To get credit for the course, you must attend at least 80% of the lectures and hands-on programming exercises and also submit and pass the take-home exam.

Course director
Associate professor Michael Sachs, Section of Biostatistics, Dept. of Public Health.

Teachers
Michael Sachs and other members of the staff at the Section of Biostatistics.

Dates
4, 7, 11 and 14 November 2024, all days from 8.00-12.00 and additional exercise hours from 13.00-14.00.

Course location
CSS

Registration
Please register before 04 October 2024

Expected frequency
The course runs twice per year, in the Spring and Fall.
In the Spring the course hours are from 10.00 until 16.00, whereas in the Fall the course hours are from 8.00 until 14.00.

Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules.
Applications from other participants will be considered after the last day of enrolment.

Note: All applicants are asked to submit invoice details in case of no-show, late cancellation or obligation to pay the course fee (typically non-PhD students). If you are a PhD student, your participation in the course must be in agreement with your principal supervisor.

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.