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Course

Courses are the building blocks of a university education. Each course has a specific scope, as detailed in the course syllabus. A course may form part of a degree programme or may be taken as a self-contained course.


There are 25 pages tagged with Course:

SILVA PhD Course - Monitoring Biodiversity for Science and Conservation

SILVA PhD course - Monitoring Biodiversity for Science and Conservation navinder.singh@slu.se SILVA – Faculty of Forest Sciences Research School Umeå Free nasi

Ph. D. course Statistics I

Statistics I: Basic statistics, 4 hp hilda.edlund@slu.se The Ph.D. course will be given in Uppsala 3- 28 October 2022. Prerequisites: None Objective: The objective of the course is to give an

Ph.D. course: Statistics II - Experimental Design and ANOVA

Statistics II: Experimental Design and ANOVA, 4 hp hilda.edlund@slu.se The Ph.D. course will be given as a distance course from 1 November to 1 December 2022. Prerequisites: Statistics I or equiv

Ph.D. course: Statistics II - Experimental Design and ANOVA(2)

Statistics II: Experimental Design and ANOVA, 4 hp The Ph.D. course will be given in Uppsala 3 November - 1 December 2020. Prerequisites: Statistics I or equiv. Objective, including learning

Statistics IV: Generalized Linear Models, 4 hp

Statistics IV: Generalized Linear Models, 4 hp hilda.edlund@slu.se The Ph. D. course Statistics IV: Generalized Linear Models, 4 hp, is a distance course. Prior knowledge Statistics III:

Ph. D. course Statistics I - Basic Statistics

Statistics I: Basic statistics, 4 hp hilda.edlund@slu.se The Ph. D. course Statistics I - Basic Statistics, 4 hp, will be given in Alnarp in April-May 2022. Objective, including learning outcomes

Statistics IV: Generalized Linear Models, 4 hp

The Ph. D. course Statistics IV: Generalized Linear Models, 4 hp The Ph. D. course Statistics IV: Generalized Linear Models, 4 hp, will be given in Uppsala. Content The course will cover the

Statistical methods - an overview, 4.5hp

Statistical methods - an overview, 4.5hp hilda.edlund@slu.se The Ph. D. course Statistical methods - an overview, 4.5 hp, will be given in Alnarp. The course is built on lectures and computer

Statistics III: Regression analysis, 4 hp

Statistics III: Regression analysis, 4hp hilda.edlund@slu.se The Ph.D. course will be given in Uppsala 10 January - 11 February 2022. Content The course will cover the following topics: • Simple

New PhD course: Criticality in Research/Criticality as Praxis

SLU Urban Futures invites you to apply for the “Criticality in Research/Criticality as Praxis” course, which will take place during Spring 2022 (In person core seminar, Berlin, 4-7 April, 2022 /

Basic R programming

Basic R programming hilda.edlund@slu.se The course will focus on the core of R programming language, and data manipulation with R. Content: The course begins with an orientation connected to the

Advanced R programming

Advanced R programming hilda.edlund@slu.se The course focus on writing R functions, efficient data manipulation, and advanced plot. Content:The lectures provide an overview of the following

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