Study unit

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3513148 Research Methodology in Forest Sciences, 3.5 Cp 
Code 3513148  Validity 01.01.2015 -
Name Research Methodology in Forest Sciences  Abbreviation ResMethForSc 
Credits3.5 Cp  Date of expiry  
TypeAdvanced Studies Subject0951 Forestry 
ClassStudy Unit  Hours  
Study right   Grading0-5 
Recommended scheduling 
Organisation Forest Sciences (J) 

Blas Mola 

Study unit's general literature:
Author Title Year Obligatory library
     Hamilton, Lawrence C.   Regression with graphics a second course in applied statistics   1992  - library
     Wonnacott, Ronald J.; Wonnacott Thomas H.  Introductory statistics, 4th edition   1985  - library

Learning outcomes 

Upon a successful completion of this course, the students are expected to be able to understand the principles of research methodology in forestry, taking into account the research issue and objective formulation as well as choosing an appropriate research approach, experimental set-up, and sampling technique. The students will be able to understand basic biometric and ecosystem modeling concepts, and to apply basic commands of R statistics to model and analyse the collected data. In addition, the students will be able to critically evaluate accuracy, error types, and reproducibility of research results. Finally, they will understand the basic concepts in Geographic Information Systems and remote sensing techniques, and use the basic GIS software to solve spatial problems, and perceive the potential for forestry-related research.


Applied statistics, research methodology, biometric and ecosystem modeling concepts, R statistics, GIS and remote sensing techniques.

Modes of study 

Lectures on research, data analysis, statistical concepts and methods (28 h), practical exercises with R statistics and GIS software (14 h). Modeling group work and learning diary.

Teaching methods 

Autumn 2020 online. The webpage of the course is at:

Study materials 

Hamilton, L.C. (1992) Regression with Graphics, A second course in applied statistics. Duxbury Press.

Wonnacott, R. & Wonnacott, T., (1985) Introductory Statistics, 4th edition, John Wiley and Sons.

Course notes and selected online materials ( target=_blank> 

Evaluation criteria 

0-5 Assignments (30%) and final examination (70%)


 Senior Researcher Blas Mola and adjunct instructors.


Autumn 2020



Further information 

The language of instruction for this course is English. It is recommended to take this course together with Academic skills in forest sciences (3513061). The course is intended only for MSc degree students. 


Letter (J, K) in front of the name of the course/exam indicates the campus on which teaching or exam takes place: J = Joensuu, K = Kuopio.

Present and future teaching
No teaching

Future exams
Functions Name Type Cp Teacher Timetable
Registration ended Research Methodology in Forest Sciences  General examination  3.5  Blas Mola 
03.06.22fri 12.00-16.00