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Analysis of environmental data 1

Unlock the secrets of our forests and gain valuable skills for a career in environmental sciences with our master-level class, Analyses of Environmental Data 1. This class will teach you how to collect, organize, analyze, and interpret data to understand the complex systems of our forests. From air, soil and water quality indicators to biodiversity, wildlife populations and climate change, you will learn how to use cutting-edge techniques and tools to make sense of the data and make informed decisions. Whether you are a current or aspiring environmental scientist, planning your professional career in forestry, nature conservation, or related environmental fields this class will give you the skills you need to make a real impact on our forests. This class will also help you to complete your master thesis work. Enroll now and join a community of like-minded individuals committed to understand and sustainably manage our natural resources!

This course target all students that want to experience data in a fun and exciting way. No need for memorizing statistical theories and mathematical paradigms. In this class, you will be learning by doing and work directly with data through guided exercises, interaction with instructors and your peers. You do not need to be scared of data anymore!

Course evaluation

Additional course evaluations for SV0019

Academic year 2023/2024

Analysis of environmental data 1 (SV0019-10303)

2023-08-28 - 2024-01-14

Syllabus and other information

Course facts

The course is offered as an independent course: Yes The course is offered as a programme course: Management of Fish and Wildlife Populations - Master's Programme Forest Ecology and Sustainable Management - mastersprogramme Conservation and Management of Fish and Wildlife (MSc) Forest Ecology and Sustainable Management (MSc) Forest Science - Master's Programme Tuition fee: Tuition fee only for non-EU/EEA/Switzerland citizens: 19030 SEK Cycle: Master’s level (A1N)
Subject: Forestry Science Biology
Course code: SV0019 Application code: SLU-30177 Location: Location independent Distance course: Yes Language: English Responsible department: Department of Forest ecology and Management Pace: 25%