First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Agricultural Sciences and Veterinary Medicine
FOREST SCIENCE - SCIENZE FORESTALI
Course unit
RESEARCH PLANNING
AGO2045199, A.A. 2017/18

Information concerning the students who enrolled in A.Y. 2016/17

Information on the course unit
Degree course Second cycle degree in
FOREST SCIENCE - SCIENZE FORESTALI (Ord. 2014)
AV2091, Degree course structure A.Y. 2014/15, A.Y. 2017/18
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Degree course track FOREST SCIENCE [001LE]
Number of ECTS credits allocated 6.0
Type of assessment Evaluation
Course unit English denomination RESEARCH PLANNING
Website of the academic structure http://www.agrariamedicinaveterinaria.unipd.it
Department of reference Department of Land, Environment, Agriculture and Forestry
Mandatory attendance No
Language of instruction English
Branch LEGNARO (PD)
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit is available ONLY for students enrolled in FOREST SCIENCE - SCIENZE FORESTALI (Ord. 2014)

Lecturers
Teacher in charge RICCARDO DA RE
Other lecturers DANIELE CASTAGNERI AGR/05

Mutuated
Course unit code Course unit name Teacher in charge Degree course code
AVP5071922 APPLIED STATISTICS IN FOREST RESEARCH RICCARDO DA RE AV2091
AGO2045199 RESEARCH PLANNING RICCARDO DA RE AV2091

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Other -- -- 6.0

Mode of delivery (when and how)
Period First semester
Year 2nd Year
Teaching method frontal

Organisation of didactics
Type of hours Credits Hours of
teaching
Hours of
Individual study
Shifts
Practice 3.0 24 51.0 No turn
Lecture 3.0 24 51.0 No turn

Calendar
Start of activities 02/10/2017
End of activities 19/01/2018

Syllabus
Prerequisites: Students’ background may be very different, and most of them have already encountered some of the methods of this course in other classes. Even so, no prior knowledge of research methodology or statistics is required.
Target skills and knowledge: The course aims at providing knowledge and competences on the basic research planning techniques. At the end of the course students will be able to sketch out a survey design, from the problem definition and the conception to the results analysis, both qualitative and quantitative.
The treatment will be based on examples, focus on application, and dispense with the technical details. At all stages, emphasis will be placed on interpreting and reporting the results clearly.
Examination methods: The exam is divided into 3 parts:
- An individual exercise in R
- A group work on a concrete case study
- An oral exam
Assessment criteria: Both group and individual work will be assessed.
The group work is the basis of the oral exam, which will be the 50% of the final mark. The remaining 50% depends on the individual exercise in R
Course unit contents: The course will cover many topics, among which including: qualitative analysis, question wording, descriptive statistics and visual display of information, statistical inference, sampling design, social network analysis. R and UCINET will be used for data analysis.
Planned learning activities and teaching methods: The main topics are presented through lectures (ppt presentations). Learning methods encompass also homeworks and class work.
The course is comprised of some computer sessions during which students will be introduced to and practice with the freely available statistical language R, and the software UCINET useful for social network analysis.
Additional notes about suggested reading: PPT presentations and detailed list of readings will be provided.

For this class you are not required to buy any textbooks. Some useful references, both for research planning and statistical analysis, will be provided.
Textbooks (and optional supplementary readings)