053614 VU Statistics for Data Science (2023W)
Continuous assessment of course work
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
- Registration is open from We 13.09.2023 09:00 to We 20.09.2023 09:00
- Deregistration possible until Sa 14.10.2023 23:59
Details
max. 25 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
- Monday 02.10. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 05.10. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 09.10. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 12.10. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 16.10. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 19.10. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 23.10. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Monday 30.10. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Monday 06.11. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 09.11. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 13.11. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 16.11. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 20.11. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 23.11. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 27.11. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 30.11. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 04.12. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 07.12. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 11.12. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 14.12. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 08.01. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 11.01. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 15.01. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 18.01. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 22.01. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
- Thursday 25.01. 09:45 - 11:15 PC-Unterrichtsraum 3, Währinger Straße 29 1.OG
- Monday 29.01. 11:30 - 13:00 Seminarraum 4, Währinger Straße 29 1.UG
Information
Aims, contents and method of the course
Assessment and permitted materials
Students have to solve homework problems and present their results in the lab session.
At the end of the semester students can choose the format of their final exam: a) oral final exam or b) take-home project.
In case a) you get 30 minutes of general questions about the course material. In case b) you have to do a 15 minutes discussion of your solutions with the lecturer.
At the end of the semester students can choose the format of their final exam: a) oral final exam or b) take-home project.
In case a) you get 30 minutes of general questions about the course material. In case b) you have to do a 15 minutes discussion of your solutions with the lecturer.
Minimum requirements and assessment criteria
Homework 60%
Final Exam 40%At least half of the homework problems have to be solved in order to get a passing grade.
Final Exam 40%At least half of the homework problems have to be solved in order to get a passing grade.
Examination topics
Option a)
The final exam will cover all the material that was discussed in lectures and homework sessions during the semester.Option b)
The final project will require you to independently solve theoretical and applied statistics problems related to what we have learned in the course.
The final exam will cover all the material that was discussed in lectures and homework sessions during the semester.Option b)
The final project will require you to independently solve theoretical and applied statistics problems related to what we have learned in the course.
Reading list
Rice, J.A. (2007): “Mathematical Statistics and Data Analysis”, Duxbury.
Association in the course directory
Modul: SDS
Last modified: Su 01.10.2023 12:27
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