280352 VU Data Assimilation and Ensemble Methods (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 Mo 04.09.2023 00:00 to Tu 26.09.2023 23:59
- Registration is open from Th 28.09.2023 00:00 to We 04.10.2023 23:59
- Deregistration possible until Tu 31.10.2023 23:59
Details
max. 20 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
UZA II: Room 2G542
Lectures on Tuesday 10:30 - 12:00 and 12:30 - 14:00.Excercises on Tuesday 14:10 - 15:10.First lectures on and first excercises on 10 October 2023.
17 October: No lectures and no exercises.
7 November: No lectures, but exercises will take place.First oral exam: 28 and 29 November.
Second oral exam: Date tba.
Tuesday
03.10.
10:30 - 12:00
Ort in u:find Details
Tuesday
03.10.
12:30 - 14:00
Ort in u:find Details
Tuesday
03.10.
14:10 - 15:10
Ort in u:find Details
Tuesday
10.10.
10:30 - 12:00
Ort in u:find Details
Tuesday
10.10.
12:30 - 14:00
Ort in u:find Details
Tuesday
10.10.
14:10 - 15:10
Ort in u:find Details
Tuesday
17.10.
10:30 - 12:00
Ort in u:find Details
Tuesday
17.10.
12:30 - 14:00
Ort in u:find Details
Tuesday
17.10.
14:10 - 15:10
Ort in u:find Details
Tuesday
24.10.
10:30 - 12:00
Ort in u:find Details
Tuesday
24.10.
12:30 - 14:00
Ort in u:find Details
Tuesday
24.10.
14:10 - 15:10
Ort in u:find Details
Tuesday
31.10.
10:30 - 12:00
Ort in u:find Details
Tuesday
31.10.
12:30 - 14:00
Ort in u:find Details
Tuesday
31.10.
14:10 - 15:10
Ort in u:find Details
Tuesday
07.11.
10:30 - 12:00
Ort in u:find Details
Tuesday
07.11.
12:30 - 14:00
Ort in u:find Details
Tuesday
07.11.
14:10 - 15:10
Ort in u:find Details
Tuesday
14.11.
10:30 - 12:00
Ort in u:find Details
Tuesday
14.11.
12:30 - 14:00
Ort in u:find Details
Tuesday
14.11.
14:10 - 15:10
Ort in u:find Details
Tuesday
21.11.
10:30 - 12:00
Ort in u:find Details
Tuesday
21.11.
12:30 - 14:00
Ort in u:find Details
Tuesday
21.11.
14:10 - 15:10
Ort in u:find Details
Tuesday
28.11.
10:30 - 12:00
Ort in u:find Details
Tuesday
28.11.
12:30 - 14:00
Ort in u:find Details
Tuesday
28.11.
14:10 - 15:10
Ort in u:find Details
Tuesday
05.12.
10:30 - 12:00
Ort in u:find Details
Tuesday
05.12.
12:30 - 14:00
Ort in u:find Details
Tuesday
05.12.
14:10 - 15:10
Ort in u:find Details
Tuesday
12.12.
10:30 - 12:00
Ort in u:find Details
Tuesday
12.12.
12:30 - 14:00
Ort in u:find Details
Tuesday
12.12.
14:10 - 15:10
Ort in u:find Details
Tuesday
09.01.
10:30 - 12:00
Ort in u:find Details
Tuesday
09.01.
12:30 - 14:00
Ort in u:find Details
Tuesday
09.01.
14:10 - 15:10
Ort in u:find Details
Tuesday
16.01.
10:30 - 12:00
Ort in u:find Details
Tuesday
16.01.
12:30 - 14:00
Ort in u:find Details
Tuesday
16.01.
14:10 - 15:10
Ort in u:find Details
Tuesday
23.01.
10:30 - 12:00
Ort in u:find Details
Tuesday
23.01.
12:30 - 14:00
Ort in u:find Details
Tuesday
23.01.
14:10 - 15:10
Ort in u:find Details
Tuesday
30.01.
10:30 - 12:00
Ort in u:find Details
Tuesday
30.01.
12:30 - 14:00
Ort in u:find Details
Tuesday
30.01.
14:10 - 15:10
Ort in u:find Details
Information
Aims, contents and method of the course
Assessment and permitted materials
Students have to pass two graded oral exams. The first will occur at the end of November and the second at the end of the semster. The students will also have to complete assigned tasks at home and participate in the exercises. These assigned tasks will also be graded.
Minimum requirements and assessment criteria
Die final grade is a weighted mean of the two oral exams and the graded homework assignments. Each of the oral exams counts for 35%, and the homework assignments for 30% of the final grade. The students need to attend at least 80% of the exercises.Grade 5: < 50%
Grade 4: 50-62,5%;
Grade 3: 62,5-75%;
Grade 2: 75-87,5%;
Grade 1: > 87,5%
Grade 4: 50-62,5%;
Grade 3: 62,5-75%;
Grade 2: 75-87,5%;
Grade 1: > 87,5%
Examination topics
Entire lecture content (slides uploaded in Moodle)
Reading list
Unfortunately, there are no suitable textbooks.
Association in the course directory
PM-DA-EPS
Last modified: Fr 15.12.2023 12:06
The exercises will focus on applying the methods introduced in the lecture using simple numerical examples. Python and jupyter-notebooks.