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.
Ph.D course: Advanced R programming 2023
Ph.D course: Advanced R programming hilda.edlund@slu.se The course focus on writing R functions, efficient data manipulation, and advanced plot. Obligatory meetings: February 6th -10th Content:
Ph.D course: Basic R programming 2023
Ph.D course: Basic R programming dimitris.athanassiadis@slu.se The course will focus on the core of R programming language, and data manipulation with R. Obligatory meetings: January 16-20.
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 27 February -31 March 2023. Objectives The objective of the course is to give an introduction to
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
Ph.D course: Modelling of the forest landscape dynamics with help of an advanced decision support system
Ph.D course: Modelling of the forest landscape dynamics with help of an advanced decision support system dimitris.athanassiadis@slu.se The aim of this course is to introduce and give basic
Kurser i statistik 2023-2025
A new time plan for the PhD courses, Statistics I, Statistics II, Statistics III, Statistics IV and Statistical methods – an overview, for the years 2023 to 2025 have been decided by the center for
Statistics IV: Generalized Linear Models, 4 hp
The Ph. D. course 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
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 - 10 February 2023. Content The course will cover the following topics: • Simple
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
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:
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 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