Course code DYR210

DYR210 Research Methodology, Statistics and Scientific Writing

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Showing course contents for the educational year 2019 - 2020 .

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:
B-DYR
Course contents:

Aim:

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.

Contents

  • 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 the development of own Bachelor thesis.

Syllabus:
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
Prerequisites:
MATH100 or similar background
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.
Assessment:

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
Note:

Required equipment:

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