Dear NordNatur partners

 

INN University’s “Department of Forestry and Wildlife Management” would like to invite external students to join some of the short courses at the master level that we have; provided there are places left.  Most of the courses runs during 1-2 weeks, and are 2,5 ECTs, but there are a couple running for 2,5 months, and are 7,5 ECTs. Please distribute this to students whom you think would be interested in these following these courses.

 

Short courses in Ecological Analyses at Campus Evenstad, Inland Norway University of Applied Sciences.

The following courses are masters level courses taught at inland Norway University of Applied Sciences. The courses using R require previous coursework or competency in R and statistical modelling (roughly 7.5 ECTS of previous statistical background is recommended).  The courses are designed for masters students, but often PhD students attend the courses.

Application instructions

In order to apply, please use this online registration form:  https://nettskjema.no/a/short-master-courses

Fee: 833 NOK (around 85 euros) per semester for students from non-partner institutions (includes multiple courses).

Questions about the courses can be send to Alina Evans, master program coordinator: alina.evans@inn.no. Questions about registration, housing or coming to Norway can be sent to Heidi Braadland, International coordinator: heidi.braadland@inn.no.

6EV314 Population monitoring using radiotracking

2.5 ECTS.  Maximum 25 students. Priority to students at INN, External students will be accepted on a first-come-first-served basis.

April 14^th-22nd

Radiotracking techniques and applications, design of radiotelemetry studies, laws and permits needed, animal welfare, radiotelemetry in practice, triangulation, GPS use and GPS measurement errors, storage and management of spatial data in databases, organisation and visualization of radiotelemetry data in Excel, basic movement analyses.

https://eng.inn.no/content/view/full/163348/language/eng-GB

6EV323 Multivariate statistics in community ecology

2.5 ECTS. Unlimited enrollment.

Week 20, May 11th- 15th

The course provides an introduction to the use of multivariate statistics in ecology and to the main analytical methods such as ordination, cluster analysis or classification. The course starts with some theoretical background but then focuses on the analysis and interpretation of multivariate ecological data using the R environment.

https://eng.inn.no/content/view/full/163352/language/eng-GB

6EV324 Analysis of spatial animal data

2.5 ECTS  Maximum 25 students. Priority to students at INN, External students will be accepted on a first-come-first-served basis.

April 23rd-31st

Different analyses methods of spatial point data in GIS and R: movement parameters, home range analyses, resource selection models.

https://eng.inn.no/content/view/full/163353/language/eng-GB

6EV327 Population monitoring using Capture Mark Recapture

2.5 ECTS. Unlimited enrollment.

Week 14, March 30th - April 3rd, 2020.

The course will give an introduction to different methods to estimate population densities, survival and reporoduction. It will focus on the method Capture Mark Recapture and introduce students to the software package MARK as well as similar solutions in R.

https://eng.inn.no/content/view/full/163350/language/eng-GB

6EV328 Population monitoring using Distance sampling

2.5 ECTS. Unlimited enrollment.

Week 22, May 25th - 29th

The course starts with an introduction to wildlife population assessment methods, and shows how distance sampling builds upon and generalizes sample count methods. The course includes a field exercice and covers topics ranging from survey design to data analysis, moving from simple approaches to more complex cases (eg clustering of animals, heterogeneity of detection etc.)

https://eng.inn.no/content/view/full/163354/language/eng-GB

MAOK4115 Forest inventory and modeling

7.5 ECTS

March 31-June 14^th

The course begins will layout of forest plots, collection and analysis of data from plots and leads into analysis and projection of collected dataset using forest growth models.

The following contents in the course are covered

Layout of forest sample plots (Fixed area and point plots)

Collection and analysing individual tree- and stand level variables of forest (e.g. DBH, height, basal area, volume)

Forest stand structure and composition, its representation and effects on growth, ingrowth and mortality

Introduction to different forest simulation model types (empirical, process).

Set up and functioning of forest growth model: hands on experience on applicability of inventory data in forest growth and yield models.

https://eng.inn.no/content/view/full/163376/language/eng-GB

MAOK4116 International Forest Policy and Economics

March 30-June 14^th

7.5 ECTS

Basic microeconomics will be covered, together with environmental economics and forest and resource economics. Students will learn about the global nature of the forest sector, where international trade is a pillar. Furthermore, students will gain insight into the main value chains in different parts of the world, with emphasis on the boreal forestry. Forest policies vary widely across countries, and students will understand how they are important for shaping the sector in different countries/parts of the world, the competitiveness as well as other values (ecosystem services). The same is also true for type of ownerships, that varies a lot across countries. Ownership behavior will be covered. The course will also cover the important changes the international forest sector is currently going through, due to shifts in technologies, costs, demand and environmental policies and the society’s expectations. Certification systems will be gone through.

https://eng.inn.no/content/view/full/163378/language/eng-GB