Swedish name: R - ett verktyg för statistiska analyser
This syllabus is valid: 2024-10-07 and until further notice
Course code: 3FH077
Credit points: 5
Education level: Second cycle
Main Field of Study and progress level:
Public Health: Second cycle, has only first-cycle course/s as entry requirements
Grading scale: Pass with distinction, Pass, Fail
Responsible department: Department of Epidemiology and Global Health
Revised by: Programme council for Master Programmes in Public Health, 2024-10-02
The course will focus on the use of R for the analysis and vizualisation of data. In addition to familiarization with standard R functions as well as functions for graphics and statistical analysis the students will learn how to program by creating their own functions. The use of script to facilitate reproducible results is central. Students will use large language models (AI) and other AI tools to increase efficiency in their workflow but also critically over these tools and their use.
Knowledge and understanding:
After completing the course, students must be able to:
Skills and abilities:
After completing the course, students must be able to:
Judgement and approach:
After completing the course, students must be able to:
For non-programme students applying as single-course students, the requirements are 120 ECTS, and Proficiency in English equivalent to Swedish upper secondary course English B/6.
The course is given daytime as a distance course at 25%. Teaching is performed through web-lectures, group exercises and practical computer exercises. Teaching is given in English. Internet connection with access to Canvas and video conferencing software together with a functional computer for installation of R and RStudio is a requirement. The course will provide both demonstrations and practical exercises. One mandatory group task is given during the course.
To be able to understand and assimilate the statistical methods a basic knowledge in statistics is recommended.
Earlier experience of R or programming is not a requirement.
The following grades are used: Fail (U), Pass (G) or Pass with Distinction (VG). The examination is continuous during the course in the form of home assignments followed by an individual oral examination of a (by the teachers chosen) task from the home assignments, at the end of the course. A mandatory group work with an oral presentation is also part of the examination.
To pass the course, the student must pass all home assignments, mandatory tasks and oral exam. Pass with Distinction as the overall grade requires Pass with Distinction on at least 75% of the home assignments, at least pass on the remaining assignments and Pass on the group work and oral exam.
The examiner can grant the student the right to an alternative form of examination in special circumstances. A student who receives a Pass grade is not allowed to re-sit in an attempt to receive a higher grade. A student who has received a Fail grade twice is entitled to request to have another examiner appointed, unless there are specific reasons against it. A written request should be sent to the Director of Studies.
Examiners may decide to deviate from the modes of assessment in the course syllabus. Individual adaptation of modes of assessment must give due consideration to the student's needs. The adaptation of modes of assessment must remain within the framework of the intended learning outcomes in the course syllabus. Students who require an adapted examination - and have received a decision on the right to support from the coordinator at the Student Services Office for students with disabilities - must submit a request to the department holding the course no later than 10 days before the examination. The examiner decides on the adaptation of the examination, after which the student will be notified.
The literature list is not available through the web. Please contact the faculty.
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