Statistics and forest inventory
Additional course evaluations for SG0204
Academic year 2020/2021Statistics and forest inventory (SG0204-20013) 2020-11-02 - 2021-01-17
Academic year 2019/2020Statistics and forest inventory (SG0204-20017) 2019-11-01 - 2020-01-19
Academic year 2018/2019Statistics and forest inventory (SG0204-20058) 2018-11-06 - 2019-01-20
Academic year 2017/2018Statistics and forest inventory (SG0204-20095) 2017-10-31 - 2018-01-14
SG0204 Statistics and forest inventory, 15.0 CreditsStatistik och skogsinventering
Education cycleBachelor’s level
Advanced study in the main fieldFirst cycle, less than 60 credits from first-cycle courses as entry requirements(G1F)
5:Pass with Distinction, 4:Pass with Credit, 3:Pass, U:Fail The requirements for attaining different grades are described in the course assessment criteria which are contained in a supplement to the course syllabus. Current information on assessment criteria shall be made available at the start of the course.
Prior knowledgeKnowledge equivalent to
- Mathematics level 4 and
- 45 credits Forest Sciences
ObjectivesThe course aims to provide basic knowledge of mathematical statistics and forest inventory. Forest inventory involves an application of mathematical statistics.
After completion of the course the student should be able to:
- account for basic concepts and methods of statistical inference
- apply statistical methods for processing, analysis and presentation of numerical data
- describe some common experimental designs and plan simple experimental settings
- summarize basic concepts and methods of variance analysis and regression analysis, and choose the appropriate analysis method on the basis of context and conditions
- distinguish for what purposes data and information on the state of the forest and the forest landscape are needed
- describe methods for how data can be collected from ground level and by using remote sensing
- explain how measurements from ground level and from remote sensing can be used individually or combined for accurate estimation
- account for the data sources that are available, their basic properties and products from these
- present and discuss results from forest inventory in an informative way, orally and in written form and act as opponent at another student´s presentation.
ContentThe course is conducted through lectures, exercises and computer exercises, but especially in the form of students individual studies. The course mix these forms of teaching but also mix probability theory and statistics with forest inventory including remote sensing so student learning can be as efficient as possible. Moreover, students individually conduct one or several oral presentations to each other in small groups.
Lectures will cover the basics of probability theory, statistics, inventory theory and remote sensing, and contain a variety of forest calculation examples to illustrate concepts and methods.Quantittative methods dominate btu metohds for and data for questionnaries are included. During the exercise sessions the students work on their own with different exercises, often with a teacher present to provide assistance when needed. These exercises are designed both to highlight contents of the lectures and to give students hands-on experience of various applications in probability theory, statistics, inventory theory, and remote sensing. Learning these applications usually takes a lot of time, both scheduled and non-scheduled. During the computer exercises, students get acquainted with a statistical program, and learn how different statistical methods discussed during the course can be performed by a computer. Students also get to use software for interpretation, calculation, analysis and visualization of remote sensing data. Mandatory course components are computer exercises and attendance at the oral presentations.
Formats and requirements for examinationApproved written exams. Approved oral and written presentations of exercises and oral opposition of an assignment in front of a group of peers.
- If the student fails a test, the examiner may give the student a supplementary assignment, provided this is possible and there is reason to do so.
- If the student has been granted special educational support because of a disability, the examiner has the right to offer the student an adapted test, or provide an alternative assessment.
- If changes are made to this course syllabus, or if the course is closed, SLU shall decide on transitional rules for examination of students admitted under this syllabus but 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 more information on this, please refer to the regulations for education at Bachelor's and Master's level.
- The right to take part in teaching and/or supervision only applies to the course date to which the student has been admitted and registered on.
- If there are special reasons, the student may take part in course components that require compulsory attendance at a later date. For more information on this, please refer to the regulations for education at Bachelor's and Master's level.
Additional informationSLU is environmentally certified according to ISO 14001. A large part of our courses
cover knowledge and skills that contribute positively to the environment. To further
strengthen this, we have specific environmental goals for the education. Students are
welcome to suggest actions regarding the course’s content and implementation that lead
to improvements for the environment. For more information, see webpage www.slu.se
Responsible departmentDepartment of Forest Resource Management
Determined by: Programnämnden för utbildning inom skog (PN - S)
Replaces: SH0118, SG0142
There are no Grading criteria posted for this course
Author: Sören Holm
Comments: Ett kompendium som kommer finnas tillgängligt på kursens Canvas sida som en pdf-fil.
2) Geografisk informationsbehandling : teori, metoder och tillämpningar
Author: Harrie, L.
Comments: Boken används för GIS-moment i tidigare kurser. Vår kurs behandlar cirka 20 sidor ur boken.
3) Statistics for the Life Sciences (femte utgåvan)
Author: M. Samuels, J. Witmer och A. Schaffner
Comments: Detta är samma bok som tidigare användes i kurserna Matematisk Statistik (SG0142) samt Inventering och Statistik (SG0156).
The course is offered as an independent course: Yes The course is offered as a programme course: Forest Science - Master´s Programme Tuition fee: Tuition fee only for non-EU/EEA/Switzerland citizens: 38054 SEK Cycle: Bachelor’s level
Subject: Forest scienceCourse code: SG0204 Application code: SLU-20028 Location: Umeå Distance course: No Language: Swedish Responsible department: Department of Forest Resource Management Pace: 100%