Courses in statistics

Last changed: 26 September 2019
IMG_4283.JPG

Our Ph.D. courses have strong data analysis components. As statistical software we use R, or R and SAS (in Uppsala). On completion of the course the participants should be able to conduct statistical analysis on their own data independently or with limited help from our consultants.

For the coming years the following courses in statistics are planned. For exact dates and information about application see our calendar. Course outside this schedule, workshops and drop-in times are also announced in the calendar and/or as a news item. 

Courses given on a regular basis
Statistics I: Basic Statistics, 4hp
Statistics II: Experimental design and ANOVA, 4 hp
Statistics III: Regression analysis, 4 hp
Statistics IV: Generalised linear models, 4 hp
Statistical Methods – an overview, 4.5 hp

 

Alnarp

Uppsala

Umeå

Autumn 19

 

Statistics I

Statistics II

Statistics III

 

Multivariate statistics

Spring 20

Statistical methods – an overview

Statistics I

Statistics III

Statistics IV

Statistics I

Autumn 20

 

Statistics I

Statistics II

Statistics IV

Spring 21

Statistical methods – an overview

Statistics I

Statistics III

Statistics IV

Statistics I

Autumn 21

 

Statistics I

Statistics II

Statistics III

Spring 22

Statistical methods – an overview

Statistics I

Statistics III

Statistics IV

Statistics I

Autumn 22

 

Statistics I

Statistics II

 

To be decided

The courses Statistics II and Statistics III in Uppsala are often given as semi-distance courses. This means that lectures are videolinked and computer exercises are held at campus Alnarp and Umeå as well as Uppsala. This happens if there is a demand and if we have enough teacher resources. We always recommend to participate in the courses on site to get the most out of them. All courses try to keep a schedule that allows travelling from other SLU locations.

The courses are given as general basic courses in statistics on behav of the council for Ph.D. education or within the research school Applied Statistics and Scientific Computing, Umeå. The research school is open to graduate students and young researchers across all departments and subject areas. In the long run we aim for a research school in statistics that will provide courses at all main campuses (Uppsala, Alnarp and Umeå).

 


Contact