Print Syllabus

Syllabus

SG0204 Statistics and forest inventory, 15.0 Credits

Statistik och skogsinventering

Subjects

Forest Science Forest science

Education cycle

Bachelor’s level

Modules

Title	Credits	Code
Statistics 1	4.0	0202
Statistics 2	6.0	0203
Forest inventory	3.0	0204
Remote Sensing	2.0	0205

Advanced study in the main field

First cycle, has less than 60 credits in first-cycle course/s as entry requirements
Bachelor’s level (G1F)

Grading scale

Language

Swedish

Prior knowledge

Knowledge equivalent to

- Mathematics level 4 and

- 45 credits Forest Sciences

Objectives

The 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.

Content

The 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.

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

Approved written exams. Approved oral and written presentations of exercises and oral opposition of an assignment in front of a group of peers.

• 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

SLU 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 department

Department of Forest Resource Management