EPN-V2

MABIO4000 Theory of Science, Ethics and Reseach Methods Course description

Course name in Norwegian
Vitenskapsteori, etikk og vitenskapelig metode
Study programme
Master´s Programme in Health and Technology - Specialisation in Biomedicine
Master´s Programme in Pharmacy
Weight
10.0 ECTS
Year of study
2021/2022
Course history

Introduction

The course comprises fundamental aspects and methodologies of philosophy of science, which are used in the planning, execution and dissemination of research projects in general. Focus is also on particular issues relating to health science and medical research, research ethics and relevant legislation.

Required preliminary courses

The student must have been admitted to the study programme. The course is also offered as an individual course.

Learning outcomes

After completing the course, the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:

Knowledge

The student

  • can discuss the importance of the most important traditions in theory of science that have formed our view on what science is and should be
  • can assess key methodological approaches to epidemiological and medical research
  • can discuss the content and significance of international conventions and underlying documents that are relevant for medical research and research ethics
  • can critically evaluate and discuss the value of user participation and both specialised and general research dissemination
  • can assess the possibility of innovation and entrepreneurship in natural science and medical research

Skills

The student

  • can describe and discuss new main directions in theory of science
  • can apply knowledge about study design in project planning
  • can reflect on and discuss rights and obligations that apply to the researcher role and project management
  • can identify relevant methods in qualitative and quantitative research and method development
  • can discuss relevant research ethics issues in health science research
  • can apply, discuss and refer to laws and guidelines on research ethics and medical research

General competence

The student

  • can critically assess the quality and relevance of scientific articles
  • can summarise, present and disseminate health science knowledge
  • can identify relevant study designs in the planning of research projects
  • can work in an evidence-based manner in his/her own field and contribute to the planning of research projects
  • can assess whether a research project requires different forms of agreements, registrations and approvals

Teaching and learning methods

The course will use varied, student-active work methods. The teaching will primarily be digital, but supplemented by seminars on campus during the course.

Work and teaching methods include digital lectures, digital group assignments, self-study and in-depth and reflection assignments at seminars on relevant topics. The students will give oral presentations at the seminars and receive feedback on their group work from fellow students and the lecturer.

Course requirements

The main topic in this course is the design, basic programming and business of video games. The course will cover the basics around the general theory of game development, the coding of video games and the fundamentals of the gaming industry. The course will also provide knowledge of different methods for developing games, such as using the "Unity" and "Unreal Engine" game engines.

Assessment

In addition to the summer school's general requirements, it is required to have completed half a year of university studies (30 ECTS). The requirement has to be met by application deadline.

Permitted exam materials and equipment

After completing this course the student should have the following learning outcome:

Knowledge

On successful completion of this course the student has:

  • Basic knowledge of the advantages and disadvantages of different game engines
  • A theoretical knowledge of developing video games
  • Understanding of the current gaming industry to be able to analyse the market, discover market opportunities for new games
  • Ability to manage game development to take an idea and turn it into a finished product

Skills

On successful completion of this course the student has:

  • Ability to identify and acquire the required skills for developing a video game
  • Ability to fully develop a video game fit for the current market
  • Proficiency in C# or UnityScript
  • Ability to create and complete a video game design according to a project plan

General Competence

On successful completion of this course the student is:

  • Proficient in planning and implementing a project plan for video game design
  • Able to identify and remediate bugs using patches and hotfixes
  • Able to identify and develop a video game according to specific hardware requirements

Grading scale

The course will take a project-based learning approach. Course participants will work in groups on a project and this project will be evaluated in the end of the course based on group presentation and final report.

This course is a blended learning course that combines four weeks full time, in-person instruction with eight weeks part time online learning. The four week in-person module culminates in an oral exam. Feedback from the oral exam provides a basis for independent study carried out part-time online and culminate in the submission of the final report.

Examiners

The course discusses theoretical and practical aspects of modern DNS technology applied to detect genetic variation in the human genome (DNS), including NGS (Next Generation Sequencing) methods. It focuses on normal variation and variation in connection to predisposition for diseases. The laboratory part comprises a practical introduction to PCR method, DNA sequence analysis, DNA fragment analysis, and quantitative PCR (qPCR, analysis of gene expression). The practical part includes exercises with basic bio informatics tools for the analysis of DNA, RNA, and amino acids sequence data. The bioinformatics part also provides an introduction to the analysis of NGS data, including with the aid of RStudio.