HEV9009 Scientific Communication, Collaboration and Design in Quantitative Research Using R
- Course codeHEV9009
- Number of credits5
- Teaching semester2026 Autumn
- Language of instruction and examinationEnglish
- CampusLillehammer
- Required prerequisite knowledge
Recommended prerequisite knowledge:
Basic knowledge about the use of data analysis, collaboration, and communication in scientific work
- Data communication using visualizations and report writing using the open-source quarto publishing system.
- Introduction to version control as a tool for scientific collaboration.
- R packages to create and distribute robust data analyses.
- Introduction to capabilities in the R programming language to simulate and analyze scientific ideas before data collection.
Course evaluation — quality assurance system
Normally, an evaluation of all courses must be carried out. The time and method are decided in consultation with student representatives.
Learning outcome
Upon passing the course, students have achieved the following learning outcomes:
Students
- have knowledge about effective data visualization and communication
- have knowledge about version control and collaborative scientific writing
Students
- can present data analyses in multiple formats based on reproducible practices using the R programming language
- can manage collaboration in complex scientific projects
- can write and distribute R packages, including data packages
- can perform basic simulations and power calculations to plan for a scientific study
Students
- can communicate results from complex and data-intensive analyses in suitable output formats.
| Form of assessment | Grading scale | Grouping | Duration of assessment | Support materials | Proportion | Comments |
|---|---|---|---|---|---|---|
Written assignment | Passed - not passed | Group (2 - 4) |
| 100 |
A written group (2-4 students) assignment will be graded Pass/Fail. The language in the report may be English or Norwegian. When participating in group assignments all group members are responsible for the content of the task/product/performance.
Reading list
No reading list available for this course