Syllabus
The course plan contains a chronological overview of the topics we review. The schedule shows the time and place we meet. All material will be available on Canvas.
Schedule
A link to Timeplan at timeplan.uit.no
Course description
In the course plan, the syllabus is indicated on datacamp and from the online book. You yourself are responsible for keeping up to date with the syllabus according to the course plan. Eventually, there will also be accompanying coding tasks. These are given pass/fail, and all work requirements must be passed for the course to be passed.
Course description
The course is normally taken in the second semester, and counts for 10 credits.
Teacher info
- Dejene, G.K.
- Amund Jenssen
- Ida MH Bergland is a student assistant
Administrative questions
For inquiries of an administrative nature, send an e-mail to: hhcampus@hjelp.uit.no . There you will get help from the Business School’s administration.
Resources
- R for Data Science - Hadley Wickham & Garrett Grolemund
- Modules in datacamp.You can find an overview in the course plan.
Announcements
Announcements and messages are posted in Canvas.
Submission and examination
The course has portfolio evaluation. All assignments are compulsory; some are work requirements (without grade, must only be approved), while others are graded. For each task, it will be specified which category it belongs to.
- Data Science project. You will carry out a project, either alone or up to 3 in a group, which will make up the majority of your portfolio. More information will come.