FORK 1002 Preparatory Course in Statistics
The main objective of the course is to prepare students for more advanced topics in statistics and data science. The course provides students the possibility to refresh and update their knowledge about statistics. The course additionally introduces students to simple mathematical notation applied in statistics and data science courses.
Students will obtain knowledge about important statistical concepts, which in turn will allow students to take on more advanced topics in probability theory and statistical modeling.
Attending the preparation course in statistics, students will acquire necessary skills for solving simple mathematical and statistical problems.
Students will understand important statistical concepts and be able solve simple statistics problem.
- Mathematical primer
- Data sequences
- Descriptive statistics
- Probability models
- Testing hypotheses
The course consists of 12 hours of lectures and 8 hours with supervised training.
All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.
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