The course focuses on linking analytical and numerical methods for analysis of practical statistical problems. It consists of a number of small projects, each of which improves active problem solving skills with computers. The projects aim at deepening the understanding of statistical methods, such as e.g. sampling distributions, used in introductory statistical courses. Data visualization is an important part of the course. The projects are performed using the statistical packages SPSS, SAS, R, but other programs such as Ox and Excel may also be treated.
To study on a distance education will give you different opportunities than on-campus teaching. It means that, to a large extent, you will be able to plan your studies yourself, both in terms of time and place.
However, keep in mind that most distance education includes a number of compulsory digital lectures and digital seminars during the weekdays. Some distance education also include compulsory get-togethers, for which you will have to travel to Växjö or Kalmar.
There are a number of different ways to be a distance student, the common denominator being that a large part of your study work is carried out on the web. You communicate with the teacher and your fellow students using a learning platform with discussion forums, group work, recorded lectures or video meetings using a web cam.