Language of instruction
|Tuesday||03/05/19||03:30 PM - 06:00 PM||TC.4.15|
|Thursday||03/07/19||03:00 PM - 05:30 PM||TC.5.16|
|Tuesday||03/12/19||03:30 PM - 06:00 PM||TC.4.15|
|Thursday||03/14/19||03:00 PM - 05:30 PM||TC.5.16|
|Tuesday||03/19/19||03:30 PM - 06:00 PM||TC.4.15|
|Thursday||03/21/19||03:00 PM - 05:30 PM||TC.5.18|
|Tuesday||03/26/19||03:30 PM - 06:00 PM||TC.4.15|
|Thursday||03/28/19||03:00 PM - 05:30 PM||TC.5.16|
|Tuesday||04/02/19||03:30 PM - 06:00 PM||TC.4.15|
|Thursday||04/04/19||03:00 PM - 05:30 PM||TC.5.16|
1. Analyze data science problems structurally and find the appropriate method to solve the respective problem.
2. Solve data science problems using R.
You are allowed to skip one unit at maximum.
- Homework (30%)
- Project (40%)
- Final Exam (30%)
Please be aware that for all courses in this SBWL registration is only possibly for students who successfully have completed the entry course (Einstieg in die SBWL: Data Science).
Note that for courses within the SBWL "Data Science" we can only accept students enrolled in one of WU's bachelor programmes who qualify for starting an SBWL; particularly, we cannot accept students from other courses and programmes enrolled at WU as 'Mitbeleger' only.