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Programming and statistical modelling in R
Provider: Faculty of Health and Medical Sciences

Activity no.: 3329-23-00-01 
Enrollment deadline: 29/09/2023
Date and time30.10.2023, at: 10:00 - 09.11.2023, at: 16:00
Regular seats20
Course fee3,360.00 kr.
LecturersMichael Sachs
ECTS credits2.40
Contact personSusanne Kragskov Laupstad    E-mail address: skl@sund.ku.dk
Enrolment Handling/Course OrganiserPhD administration SUND    E-mail address: phdkursus@sund.ku.dk

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 universities. 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 four half days, four optional exercise hours placed as one each week. A mandatory take-home exam will be graded pass or fail is required in order to receive credit.


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

30 October, 2, 6 and 9 November 2023, all days from 10.00-16.00.


Course location

CSS


Registration

Please register before 29 September 2023


Expected frequency

The course is expected to run again in the Spring 2024

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.

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