Advanced data analysis with R
Undergraduate course
- ECTS credits
- 5
- Teaching semesters
- Autumn
- Course code
- STAT640
- Number of semesters
- 1
- Resources
- Schedule
Course description
Objectives and Content
This course will present advanced methodology in data analysis, with a particular focus on the theory and use of generalized linear mixed models. Furthermore, the focus will be on practical use of R and especially on the package "glmmTMB".
Learning Outcomes
On completion of the course the student should have the following learning outcomes
Knowledge
- Knows the theory behind generalized linear mixed models
Skills
- can implement statistical models in R
- use generalized linear mixed models on real data sets in R using glmmTMB
General competence
- have an overview of how advanced statistical methods can be used to analyze larger data sets
Required Previous Knowledge
STAT110 or similar
Teaching and learning methods
Digital lectures and/or videos approx. 2 hours pr. week
Computer Lab / approx. 2 hours a week for 9 weeks
Compulsory Assignments and Attendance
Approved mandatory hand-ins.
Forms of Assessment
Digital home exam of 3 days duration
Grading Scale
Pass/fail.
Examination Support Material
All.