Programming in statistics, 7.5 Credits

Contents

In statistical work there is often a demand for specific analyses that cannot be done using menu-based statistical software. In such situations are programming skills invaluable. The purpose of the course is to provide an introduction to such statistical programming.

The course is based on the statistical work and programming environment R, which is an implementation of the programming language S. This environment has become a de facto standard for professional statisticians. The program is freely available under a GPL license and the student learns how to download and install the program. The first part of the course gives an introduction to R. The student learns how to import and export data, to handle different datatypes, create and use scripts, store data and results, create and save graphical illustrations, and also how data can be manipulated in R with logical operators.

Furthermore, the course includes implementation of some modern analytical methods, and the latter part of the course deals with functions, optimization of code, and how to create your own R packages.

Expected learning outcomes

After completed course the student should be able to:

• create simple programs in the programming language R using basic programming techniques,
• carry out simulation studies and analyze and evaluate the resulting performance,
• illustrate the statistical models and the results of statistical surveys graphically.

Required Knowledge

Univ: At least 90 credits including at least 60 credits in statistics and/or mathematical statistics, or equivalent. Proficiency in English equivalent to Swedish upper secondary course English B/6.

Form of instruction

The course consists of lectures, seminars and tutorials. Much of the teaching is of laboratory character and is in the form of computer lectures. Mandatory written assignments and seminars are included.

Examination modes

The examination consists of written and oral presentations of given assignments. Reports of assignments should be handed in or presented at predetermined dates. To pass the course requires that all seminars and assignments are satisfactorily reported and approved. The grades used are: VG (Pass with distinction), G (Pass), and U (Fail). The gr­ade is a com­prehensive eva­luation of the results of the various parts of the examinations and is not granted until all mandatory tasks have been passed.

A student who has passed an examination is not allowed to take another examination in order to get a higher grade. For students who do not pass, an additional test will be held according to a pre-determined schedule.

A student that has failed an examination on two occasions has a right to have another examiner or grading teacher appointed, unless there are special reasons against it. A written request addressed to the Director of Studies should be made no later than two weeks before the next examination opportunity.

Examinations based on the same course syllabus as the ordinary examinations are guaran­teed to be offered up to two years after the date of the student's first registration for the course.

Adaptations
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.

Academic credit transfer
Academic credit transfers are according to the university credit transfer regulations.