Sveriges lantbruksuniversitet

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.


Det finns 81 sidor som är taggade med Course:
Statistics III: Regression Analysis

Statistics III: Regression Analysis

Statistics III: Regression analysis, 4HP The Ph.D. course will be given in Umeå 1 October - 4 November 2019. Prior knowledge Statistics I: Basic Statistics or equivalent Objective, including

Equitation science

The course provides an in depth theoretical/practical knowledge at advanced level of horse behaviour/learning and its consequences for horse welfare and human-horse interactions. The course is

Animal ethics

This course gives an overview of differences between ethics and legislation, elements in ethical argumentation, relation between animal science and animal ethics, description of normative ethical

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

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

Statistics II: Experimental Design and ANOVA, 4 hp The Ph.D. course will be given in Uppsala 1 November - 3 December 2019. Prerequisites: Statistics I or equiv. Objective, including learning

Ph.D. course Statistics III: Regression analysis

Ph.D. course Statistics III: Regression analysis

Statistics III: Regression analysis, 4 hp The Ph.D. course will be given in Uppsala 13 January - 14 February 2020. Prerequisites: Statistics I or equiv. Objective, including learning outcomes The

Ph. D. course Statistics I

Ph. D. course Statistics I

Statistics I: Basic statistics, 4 hp The Ph.D. course will be given in Uppsala 7 - 31 October 2019. Prerequisites: None Objective: The objective of the course is to give an introduction to basic

Ph.D. course Statistics III: Regression analysis

Ph.D. course Statistics III: Regression analysis

Statistics III: Regression analysis, 4 hp The Ph.D. course will be given in Uppsala 13 January - 14 February 2020. Prerequisites: Statistics I or equiv. Objective, including learning outcomes The

Ph.D. course Statistics III: Regression analysis

Ph.D. course Statistics III: Regression analysis

Statistics III: Regression analysis, 4 hp The Ph.D. course will be given in Uppsala 13 January - 14 February 2020. Prerequisites: Statistics I or equiv. Objective, including learning outcomes The

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

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

Statistics II: Experimental Design and ANOVA, 4 hp The Ph.D. course will be given in Uppsala 1 November - 3 December 2019. Prerequisites: Statistics I or equiv. Objective, including learning

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

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

Statistics II: Experimental Design and ANOVA, 4 hp The Ph.D. course will be given in Uppsala 1 November - 3 December 2019. Prerequisites: Statistics I or equiv. Objective, including learning

Ph. D. course Statistics I

Ph. D. course Statistics I

Statistics I: Basic statistics, 4 hp The Ph.D. course will be given in Uppsala 7 - 31 October 2019. Prerequisites: None Objective: The objective of the course is to give an introduction to basic

Ph. D. course Statistics I

Ph. D. course Statistics I

Statistics I: Basic statistics, 4 hp The Ph.D. course will be given in Uppsala 7 - 31 October 2019. Prerequisites: None Objective: The objective of the course is to give an introduction to basic

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