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.

1. Midterm exam (30 points) (On campus, will take place on November 15, 2024 at 13:30)  
2. Final exam (40 points) (On campus, will take place on January 8, 2025 at 08:00)
3. 7 Homework assignments (10 points in total)
   • Homework assignments will be assessed as individual work
   • Throughout the course, there will be a total of 35 homework questions that are categorized into 1-star and 2-star exercises. 
   • Students should solve and submit as many problems as possible every week at Canvas, usually 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 home assignment question is worth at most 1 point. At the end of the course, we take min(10, S/2.5) points as the result for this part, where S is the overall score. 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
   • There will be peer reviews to check the contribution of each group member. If we detect any free-riding issues, the free rider will get 0 points for the corresponding task. 
   • The use of AI to create a solution submission is not allowed.

The following grading scale applies:

• 89.00-100.00 - Excellent (1)
• 78.00-88.99 - Good (2)
• 67.00-77.99 - Satisfactory (3)
• 56.00-66.99 -  Sufficient (4)
• 0.00-55.99 -  Insufficient (5)