Course code DYR210

DYR210 Research Methodology, Statistics and Scientific Writing

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Showing course contents for the educational year 2020 - 2021 .

Course responsible: Ingrid Toftaker
ECTS credits: 5
Faculty: Faculty of Veterinary Medicine
Teaching language: NO
(NO=norsk, EN=Engelsk)
Teaching exam periods:
See semester schedule
Course frequency: Annually, 3 weeks
First time: Study year 2016-2017
Preferential right:
Course contents:


The teaching will include practical and scientific methods to provide a basis that ensures a good start and helps students carry out a bachelor-project in animal nursing at the NMBU Faculty of Veterinary Medicine.


  • Scientific authorship: principles and practical assignments.
  • Scientific method: planning and design of research projects.
  • Surveys: planning and implementation.
  • Scientific literature: literature search and use of reference tools.
  • Errors in scientific methods: random and systematic errors.
  • Statistics: methods to produce relevant tables and figures
  • Statistics: basic principles behind the use of statistical methods
Learning outcome:

After completing the course, the student should:

Have sufficient knowledge of scientific methods in order to be able to complete a bachelor in animal nursing at NMBU Faculty of Veterinary Medicine. Acquire a basic understanding of scientific research, and be able to:

  • Make an outline (Word-file) of the bachelor thesis based on a standard template
  • Be able to explain the main types of study design, with knowledge of litterature reviews in particular
  • Knowledge on how to use descriptive statistics and be able to interpret results form simple statistical analyses
  • Be able to use of EndNote for citations and bibliography.
  • Understand the importance of critical reading of scientific articles
  • Know the most common sources of bias
  • Know  common measures of disease frequency and measures of association used in epidemiology
Learning activities:

Lectures, quiz, exercises and assignments

Start drafting the Bachelor thesis.

Plenary presentations (available on Canvas)Group assignements (available on Canvas)Scientific papers and other teaching material are available on Canvas Template file for Bachelor thesis (available on Canvas)Suggested reference book in statistics: Statistikk for helse- og sosialfagene, Arild Bjørndal og Dag Hofoss
Recommended prerequisites:
  • MATH100 or corresponding background
  • The students should formulate a specific aim for their thesis before the course.
Mandatory activity:
Presence at lectures is voluntary. Some exercises and presentations are compulsory. Details will be given at Canvas.

The course is passed when the following is fulfilled

  • Passed exam (multiple choice) on the last day of the course.
  • Uploaded and approved study protocol and structure of the Bachelor thesis.
  • If the student do not pass the test it will need to be repeated and passed within three weeks or in conjunction with the course the following semester.

Grading: Pass/Fail

Nominal workload:

One ECTS is based on 30 hours of student work. The course corresponds to a total of 150 hours work.

  • Lectures (35 hours)
  • Follow-up of lectures (20 hours)
  • Work on assignments and group discussions (40 hours)
  • Work with the bachelor thesis (35 hours)
  • Prepare for course test (20 hours)
Type of course:
Details are found on Canvas

Required equipment:

  • Students are asked to bring their own laptop
A sensor is a mandatory part of quality assurance system for the test used.
Examination details: KIFO course: Passed / Failed