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
Established by: Board of undergraduate education, 2017-03-15
Contents
The course will focus on the use of R for the analysis of large data sets. In addition to familiarization with standard R functions, students will learn how to program to create their own functions and to use R’s highly regarded graphical software tools. The course will provide demonstrations and practice for accessing external data sets and the cutting edge research resources available in R packages. Students will learn how to use R to facilitate publication of reproducible research.
Expected learning outcomes
Knowledge and understanding
After this course, students are expected to:
Comprehend and clarify the role integrated documentation for statistical computations;
Comprehend and clarify basic methods of statistical computation in the free software environment, R.
Have a basic understanding of how to formulate and undertake novel statistical computations
Skills and abilities
After this course, students are expected to be able to:
Use R to visualize data
Use R to clean and analyse data using descriptive statistics and univariate and multivariate regression models
Undertake basic programming tasks for the analysis of novel statistical problems
Judgement and approach
After this course, students are expected to:
Critically discuss and evaluate the application of R to create reproducible statistical computations and the relationship between this reproducibility and scientific method.
Required Knowledge
For non-programme students applying as single-course students, the requirements are 120 ECTS, of which a minimum of 30 ECTS are within one of the following: health sciences, environmental health or social sciences.
English proficiency equivalent to English B/6 from Swedish Upper secondary education.
Form of instruction
Teaching is performed through plenary lectures, web-lectures, group exercises, practical computer exercises and seminars. Teaching is given in English.
Examination modes
The examination consists of a take-home exam. The exam will be awarded the following grades: Fail (U), Pass (G) or Pass with Distinction (VG).
Students who do not pass the regular examination will have a new examination within 3 months after the first examination. If there are special reasons, the examiner has the right to decide whether another form of examination can be used. A student who has failed two tests for a course, are entitled to have another examiner appointed, unless there are specific reasons against it. A written request is submitted to the director of studies.
Other regulations
Students have the right to examine whether previous education or equivalent knowledge and skills acquired can be credited for the corresponding course at Umeå University. Application is submitted to Studentcentrum/Examina. Details on crediting can be found at Umeå University’s student web, www.student.umu.se, and the Higher Education Ordinance (Chapter 6). A refusal of accreditation may be appealed against to the University Appeals Board. This applies to the whole or part of the application for accreditation is refused.
Literature
The literature list is not available through the web.
Please contact the faculty.
