PhD course Advances in forestry analysis and data management
This Ph.D. course focus on an advanced understanding of forest trials and inventories.
Advances in forestry analysis and data management (8 ECTS), Course code: PFS0177
Subject area: Forest Inventory, Inventory design, forest growth and yield and forest modelling.
Learning outcomes. After this course, the students are expected to:
- Know about the advanced level statistics with large-scale inventory data
- Understand the statistics of various experiments
- Independently design their experiments and perform their inventories
Entry requirement: Basic knowledge in forest inventory, experimental design, science methodology, Statistics, and R software is a prerequisite. (There will be a module in the Canvas course page for update and repetition of entry requirements)
Objectives: This course provides an advanced understanding of how forest trials are designed and how inventories are performed. The course's target group comprises early-stage doctoral students who will initiate field trials, analyse larger quantities from long-term trials, design inventories, and implement and/or analyse more extensive inventories in forests.
Content. This course consists of four modules:
- Forest models of trees and growth
- Design and analysis of forestry experiment
- Inventory design
- Analysis of inventory data
The course will be held online with two days of physical meetings (depending on the COVID situation). There will be various online lectures, discussions, group assignments and a final individual project to present the results.
Timetable: Lectures on Tuesdays and Thursdays. Interactive questioning sessions and group discussions on Fridays.
Start date: 26 januari 2021
Physical meetings: Depending on the COVID situation
End date: 26 march 2021
Deadline to apply: 2021-01-01
Evaluation: Students’ performance during the whole course will be individually assessed along with the final submission of an assignment.