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.
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
Statistics II: Experimental Design and ANOVA, 4 hp hilda.edlund@slu.se The Ph.D. course will be given as a distance course from 31 October to 31 November 2023. 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
Course in the environmental impact and benefits of aquaculture
Course on environmental impact and benefits of aquaculture aquaculture@slu.se The course will focus on environmental impact and environmental benefit of aquaculture. You will also gain basic
Ph.D course: Considering Uncertainty in Forest Management Planning
Ph.D course: Considering Uncertainty in Forest Management Planning dimitris.athanassiadis@slu.se Considering uncertainty in forest planning is crucial, allowing for the assessment and mitigation of