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.
PhD course: Forest damage - Monitoring and enviromental assessment
PhD course: Forest damage - Monitoring and environmental assessment theres.svensson@slu.se The next PhD student course on “Monitoring and environmental assessment” will start in March. The
Ph.D. course: Statistics II - Analysis of experiments using mixed-effects models
Statistics II: Analysis of experiments using mixed-effects models hilda.edlund@slu.se The Ph.D. course will be given as a distance course from25 March to 25 April 2024. Content The course will
One Health: concept, cases and methodology, 3 credits
One Health: concept, cases and methodology, 3 credits futureonehealth@slu.se The course will give a theoretical overview of what the One Health concept is, and why a one health approach is
Introduction to GIS for applications in forest and landscape
PhD Course: Introduction to GIS for applications in forest and landscape dimitris.athanassiadis@slu.se Forest as a part of landscape is a geospatial object. Consequently, in a forest science we
Ph. D. course Statistics I Umeå 2023
Statistics I: Basic statistics, 4 hp hilda.edlund@slu.se The Ph.D. course will be given in Umeå 19 February -22 March 2024. Objectives The objective of the course is to give an introduction to
Sampling
PhD course: Sampling, 4 ECTS dimitris.athanassiadis@slu.se The objective of the course is to give a broad introduction to basic sampling theory and related statistical inference. The course is
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, will be given in Uppsala. Content The course will cover the
Ph.D. course: Statistics II - Experimental Design and ANOVA(2)
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
Statistics III: Regression Analysis
Statistics III: Regression Analysis, 4HP hilda.edlund@slu.se The Ph. D. course Statistics III: Regression Analysis, 4hp, will be given in Uppsala 9 jan - 9 feb 2024. Prior knowledge Statistics I:
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- 27 October 2023. Prerequisites: Admitted to a Ph.D. program at SLU. If you are not a Ph.D.
Statistics III: Regression Analysis
Statistics III: Regression Analysis, 4HP hilda.edlund@slu.se The Ph. D. course Statistics III: Regression Analysis, 4hp, will be given as a distance course. Prior knowledge Statistics I: Basic
What will the green energy landscape of the future look like?
A Master's level course for future landscape architects deals with major global societal issues, such as sustainable energy production, economic growth and the consequences our choices have in our