Planning and analysis with the Heureka system - a forest decision support system
Nu har du som redan är yrkesverksam inom skogsnäringen eller akademin möjlighet att lära dig det skogliga beslutsstödsystemet Heureka – helt på distans! Distanskursen vänder sig framför allt till dig som redan är yrkesverksam inom skogsnäringen eller akademin. Om du är intresserad av att komplettera tidigare utbildning hos oss på SLU eller liknande utbildningsinriktningar är du också välkommen att söka kursen.
Målet är att du ska få möjlighet att lära dig hur ett avancerat skogligt beslutsstödsystem kan användas i planering av skogsbruket och hur man kan genomföra en stor mängd olika analyser kring skogsekosystemets framtida utveckling, samt få kunskaper om den bakomliggande vetenskapliga teorin. Kursen består därmed av två huvudmoment – praktiskt användning av Heurekasystemets fyra applikationer RegVis, PlanVis, BeståndsVis och PlanEval och vetenskapliga teorier för skoglig planering och analys.
Heureka är idag det ledande skogliga beslutsstödsystemet i Sverige och används av flera skogsbolag och myndigheter. Genom systemet får policyutvecklare, beslutsfattare och planerare inom en rad samhällssektorer som skog, miljö och energi beslutsunderlag i frågor som rör skogens utveckling och dess produktion av varor och ekosystemtjänster.
Information from the course leader
Hej!
Hjärtligt välkommen till kursen Planering och analys med Heureka - ett skogligt beslutsstödsystem!
Nu närmar det sig kursstart (30:e aug) och ni kan nu gå in och självregistrera er på kursen via SLU:s studentweb https://student.slu.se/, gå till Ladok student. Många av er kommer att behöva hämta era användaruppgifter först - det gör ni via antagning.se. När ni väl är registrerade kommer ni efter en stund få tillgång till vårt kursrum på lärplattformen Canvas som vi kommer jobba ifrån (Canvas hittas också från studentwebben).
Innan kursstart skulle det vara bra om ni kunde gå in i kursrummet på Canvas och till Modulen Allmän kursinformation och göra följande:
- Gå till Presentation av deltagare och skriv helt kort om dig själv, exv om din sysselsättning och tidigare erfarenheter av Heureka
- Gå till Mjukvaror att installera och följ instruktionen för nedladdning av mjukvarorna Zoom, SQL-server och Heurekas programvaror.
Under kursens gång kommer vi ha Zoom-träffar och en och samma zoominloggning kommer att användas under kursen med start kl 09:00 den 30 augusti. I och med att vi bara kommer ha ett tillfälle där alla lärare och studenter träffas samtidigt på kursen hoppas vi att vi ses den 30:e aug på zoom.
Zoomlänken har ni fått via mejl och den ligger även som ett anslag på canvassidan.
Course evaluation
The course evaluation is now closed
SG0273-10335 - Course evaluation report
Once the evaluation is closed, the course coordinator and student representative have 1 month to draft their comments. The comments will be published in the evaluation report.
Additional course evaluations for SG0273
Academic year 2021/2022
Planning and analysis with the Heureka system - a forest decision support system (SG0273-30290)
2022-01-17 - 2022-06-05
Syllabus and other information
Syllabus
SG0273 Planning and analysis with the Heureka system - a forest decision support system, 15.0 Credits
Planering och analys med Heurekasystemet - ett skogligt beslutsstödsystemSubjects
Forest ScienceEducation cycle
Bachelor’s levelModules
Title | Credits | Code |
---|---|---|
Introduction | 1.5 | 0102 |
RegWise | 1.5 | 0103 |
PlanWise | 4.0 | 0104 |
StandWise | 1.5 | 0105 |
PlanEval | 1.5 | 0106 |
Case | 5.0 | 0107 |
Advanced study in the main field
First cycle, has at least 60 credits in first-cycle course/s as entry requirementsBachelor’s level (G2F)
Grading scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Language
SwedishPrior knowledge
General entry requirements for first-cycle studies and knowledge equivalent to- 60 credits Forest science
or
- 60 hp Forest management
or
- 60 hp Forest and wood engineering
Objectives
Students will learn the theoretical foundations of forest planning and how an advanced forest decision support system can be used in forest management planning and other analyses related to the future development of the forest ecosystem.
Upon completion of the course, the student will be able to:
• present the basics of forest planning and the analysis and planning methods upon which the Heureka System is based;
• present the underlying principles of the processes used in a decision support system;
• use all four Heureka programs to process various problems in forest planning and analysis;
• describe the possibilities and limitations with the four Heureka applications;
• interpret and explain analysis results generated with help from the Heureka system.
Content
The course is a distance learning course equating to ten weeks of full-time study. The course uses an independent study package accessible via a virtual learning environment (VLE). The independent study package is divided into 6 modules:
• Module 1: a general introduction to forest planning and the Heureka system.
• Module 2: StandWise and its interactive simulator.
• Module 3: RegWise and its user-defined regulatory system for silviculture and harvesting measures.
• Module 4: PlanWise and its optimisation tool for finding the most suitable action.
• Module 5: PlanEval and its methods for balancing various objectives in cases involving one or more decision makers and stakeholders.
• Module 6: involves a synthesis block in which students will answer a planning problem using one of Heureka’s applications.
Modules 1–5 include exercises with detailed instructions layered with tasks requiring knowledge of both basic planning theory and system structure. The exercises use the system’s various applications to analyse data from both the entire landscape and individual forest properties. Each module is supplemented with recorded lectures that address how Heureka can be used in various sustainability analyses, the type of input required, how the user can control/steer the system’s various components, basic mathematical optimisation and basic theories on multi-criteria decision analysis.
These are the examining components of the modules:
Modules 1–5:
i) submission of a Heureka-related report
ii) submission of a written literature summary
iii) written examination through the learning platform.
Module 6:
i) submission of a written final report
ii) oral presentation of the report using a video conferencing service (such as Zoom).
Summative assessment and Requirements for passing the course:
In order to pass the course, students must successfully pass the following assessments from modules 1–5:
• Heureka-related report
• written literature summary
• written examination through the learning platform
Grading form
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.Formats and requirements for examination
x
- If a student has failed an examination, the examiner has the right to issue supplementary assignments. This applies if it is possible and there are grounds to do so.
- The examiner can provide an adapted assessment to students entitled to study support for students with disabilities following a decision by the university. Examiners may also issue an adapted examination or provide an alternative way for the students to take the exam.
- If this syllabus is withdrawn, SLU may introduce transitional provisions for examining students admitted based on this syllabus and who have not yet passed the course.
- For the examination of a degree project (independent project), the examiner may also allow the student to add supplemental information after the deadline for submission. Read more in the Education Planning and Administration Handbook.
Other information
The right to participate in teaching and/or supervision only applies for the course instance the student was admitted to and registered on.
If there are special reasons, students are entitled to participate in components with compulsory attendance when the course is given again. Read more in the Education Planning and Administration Handbook.
Additional information
Students on this distance learning course should be familiar with basic forestry concepts.Students will need access to a computer, headset, webcam and an internet connection to be able to access the high-resolution streamed teaching materials. The course will be cancelled if there are not enough applicants.
Responsible department
Department of Forest Resource Management