After completing the course, students should be familiar with basic concepts, methods and tools in mathematics and computing that are necessary for the quantitative analysis of problems in modern business and economics. Moreover, students will have acquired basic programming skills in the open-source computer language R, enabling them to independently conduct simple mathematical analyses.
This course is taught as a main lecture accompanied by practicals. For the main lecture, recorded lecture videos will be released weekly at Learn.
Practicals will be held in the alternating hybrid mode with mandatory attendance. In this mode, each student will attend the practicals on campus every second week. Those who are not in the class will follow the live lecture-cast. Overall, under the alternating hybrid mode, there will be 45 minute in-class teaching together with synchronous streaming. Out of the 7 practical sessions, students are allowed to miss at most 2 sessions without notice.
In order to support students for R programing, regular online or on-site tutorials will be offered by the tutors.
This course is taught as a main lecture accompanied by practicals. For the main lecture, recorded lecture videos will be released weekly at Learn. Practicals will be held in the alternating hybrid mode.
Course evaluation consists of four parts:
- Midterm exam (20 points) (On campus, TC.0.10 Audimax, will take place on 27.10.2021 at 17:00-18:30)
- Final exam (50 points) (On campus, TC.0.10 Audimax, will take place on 22.12.2021 at 11:30-13:30)
- 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/2.1) points as the result for this part, where S is the sum of the weekly scores. Dividing by 2.1 means that students can skip up to 14 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
- Case study (20 points)
- 15 points group work to be handed in in written form + 5 points individual interview
- Release date: on 04.11.2021 and to be handed in at 23:55 on 12.12.2021. No late submission will be accepted. Interviews: to be announced
- 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)
Mathematical skills and knowledge at high school level.
Lectures: Paul Eisenberg (firstname.lastname@example.org), Exercise Sessions: Darjus Hosszejni (email@example.com)