BIO302 Introduction Course for Master Students at BIOVIT

Credits (ECTS):5

Course responsible:Matthew Peter Kent

Campus / Online:Taught campus Ås

Teaching language:Engelsk, norsk

Course frequency:Every year

Nominal workload:125 hours

Teaching and exam period:August block

About this course

BIO302 seeks to provide students with the theoretical knowledge and practical skills that they require to successfully complete their master's degree within life science disciplines. This includes an understanding the formal MSc regulations at NMBU, development of writing, research ethics guidelines, plagiarism, use of AI tools, use of reference tools and performing searches for research literature, data visualization and data handling, and career opportunities upon completion of the master's programme. Excursions/activities relevant to students registered for the various study programs at BIOVIT will also be organised.

Learning outcome

Knowledge

  • Good understanding of what is required to complete a master's programme, including the formalities surrounding selection of and completion of the master's thesis
  • Understands the importance of hypothesis development and testing of hypotheses in research
  • Familiar with models for research text structure, e.g. The IMRaD model for scientific writing and the T-U-R model for paragraph structure
  • Good overview of available databases for research articles
  • Knowledge of digital tools for handling references and bibliography
  • Regulations around plagiarism (including self-plagiarism) as well as current regulations for the use of AI-based tools such as Chat GTP in studies and thesis writing
  • Good overview of research ethics guidelines within the natural sciences (www.forskningsetikk.no/retningslinjer/nat-tek/forskningsetiske-retningslinjer-for-naturvitenskap-og-teknologi/), including the VANCOUVER convention for authorship, the researcher's responsibility for honesty, protection of animals in research, alerting authorities and ethical responsibility, as well as responsibility for research communication.
  • Rules for the use and handling of genetically modified organisms in research
  • Knowledge of the Biodiversity Convention, the sustainability goals and the European Green Deal
  • Basic principles of effective data visualization and visual communication
  • Knowledge of the importance of data handling and the FAIR data principle
  • Overview of career opportunities upon completion of the master's programme​

Skills

  • Utilize models describing text formats and writing techniques to organize and prepare a thesis or report.
  • Use literature databases such as e.g. Web of Science and PubMed to search for original research literature, and import these references into digital reference tools to create personal databases and reference lists in Word
  • Use AI tools to help in research and studies in an ethically sound manner
  • Critically assess the quality of research work (e.g. a master's theses) in terms of structure and content

General competence

  • Be well equipped to complete a master's degree and write a master's thesis
  • Learning activities
    Lectures, excursions and group work.
  • Teaching support
    Canvas
  • Prerequisites
    Bachelor degree in relevant subject area
  • Assessment method
    Students will be evaluated based on delivered reports and presentations. All obligatory deliverables and / or presentations must be assessed so that the student can be graded as pass / fail.

  • Examiner scheme
    External evaluator will assess course content and evaluation.
  • Mandatory activity
    Lectures, excursions, report writing and/or presentations. Participation in all activities is obligatory,
  • Notes
    With fewer than six students, the content and delivery of this course will be adjusted.
  • Preferential right
    First year master students in Biology, Genome Science and Plant Sciences
  • Admission requirements
    Special requirements in Science