Analysis of Field Data 15 credits

About the course

The course will review the analytic methods applied in field studies . The course aims to achieve basic knowledge and training in the design and planning of field experiments, the capability to handle statistical analysis, and the graphical presentation of field data with modern statistical software. The course includes project work, in which students will analyze and write a report based on a real dataset.

The course is divided into the following modules:

Module 1: Theory, 10 ECTS
This module is divided into three sections:

Section 1: Introduction, 2 ECTS
This section introduces the software used throughout the course and covers the basics of designing and planning field experiments, parameter estimation, hypothesis testing, and graphical presentation.

Section 2: Analysis, Interpretation, and Presentation of Field Data, 7 ECTS
This section addresses how the design, analysis, and interpretation of a study are influenced by the type of data used. It covers the design, analysis, and presentation of experiments, discussing the selection of parameters concerning statistical analysis and the ecological interpretations that can be drawn. The construction of methods based on variance analysis, such as regression analysis, ANOVA, ANCOVA, variance component analysis, and contrasts, are covered. Basic concepts and applications of Generalized Linear Models and Contingency Tables are also included. The use of various types of analyses in scientific articles is critically examined. In computer lab sessions, discussions will cover how to present analyses in scientific articles and how to translate analysis results into relevant interpretations.

Section 3: Planning and Analysis of Monitoring Programs, 1 credit
This section introduces the planning and analysis of monitoring programs, where students independently design or evaluate monitoring programs through computer-based exercises.

Module 2: Applied Project, 5 ECTS
This module involves an independent analysis of a dataset, allowing students the option to work with their data. In this project, several methods covered earlier in the course will be applied. The dataset should be analyzed with a focus on parameter estimation and statistical significance, and the results should be presented in a report. This module also includes guidelines on presenting data analyses in articles and reports.

Show syllabus

Apply

Autumn 2025
- Analysis of Field Data
  
  Autumn 2025 / Umeå / English / On site
  
  Submit a late application
  
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  Starts
  3 November 2025
  
  Ends
  18 January 2026
  
  Number of credits
  15 credits
  
  Type of studies
  On site
  
  Study pace
  100%
  
  Teaching hours
  Daytime
  
  Study location
  Umeå
  
  Language
  English
  
  Application code
  UMU-50101
  
  Eligibility 120 ECTS including 60 ECTS in Biology of which 30 ECTS in Ecology or 60 ECTS Earth science/physical geography or Environmental science and 30 ECTS in ecology, or equivalent knowledge. Proficiency in English equivalent to Swedish upper secondary course English B/6. Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
  
  Selection
  Academic credits
  
  Application
  Application deadline was 15 April 2025. Submit a late application at Universityadmissions.se.
  
  Application and tuition fees
  As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.
  
  Application fee: SEK 900
  
  Tuition fee, first instalment: SEK 38,075
  
  Total fee: SEK 38,075
  
  Details about tuition, fees and funding

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