The course will be taught as a lecture accompanied by practicals in small groups (VUE). There will be 8 on-campus lectures with 120 participants. Concerning the practicals, there will be 7 on-campus sessions, starting with the first week (the day of the first main lecture) where students will use their own computers. The main focus of the practical sessions will be to cover the relevant R material and gain computational skills. Additionally,  in order to support students for R programming, regular tutorials will be offered by the tutors.

Students are expected to be active in the class. We also encourage the use of Forum at Learn.

1. Midterm exam (20 points) (On campus, will take place on November 3, 2023 at 16:30)  
2. Final exam (50 points) (On campus, will take place on January 17, 2024 at 08:30)
3. 7 Homework assignments (10 points in total)
   • Homework assignments will be assessed as individual work
   • For each exercise session we will publish a set of 5 homework problems at Learn@WU as a Learning Activity
   • The 35 exercises are categorized into 1-star and 2-star questions
   • Students should solve and submit as many problems as possible every week at Learn@WU by 11:55 pm on Tuesday. Late submissions will not be accepted; please count with the possibility of technical problems and do not leave your submission to the last minute
   • Each week, each student receives a weekly score between 0 and 5 (inclusive). At the end of the course, we take min(10, S/2.5) points as the result for this part, where S is the sum of the weekly scores. Dividing by 2.5 means that students can skip up to 10 exercises throughout the semester and still get full points. Taking the minimum with 10 is there because the highest achievable score in this part is 10 points
4. Case study (20 points)
   • 15 points group work to be handed in in written form + 5 points individual interview
   • Any collaborations between different groups will be punished with severe point reductions

The following grading scale applies:

• 89.01-100.00 - Excellent (1)
• 78.01-89.00 - Good (2)
• 67.01-78.00 - Satisfactory (3)
• 56.01-67.00 -  Sufficient (4)
• 0.00-56.00 -  Insufficient (5)