220077 UE UE Applied Data Analysis (2020W)
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 14.09.2020 09:00 to We 16.09.2020 18:00
- Deregistration possible until We 16.09.2020 18:00
Details
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
The class will be an asynchronous digital class with scheduled 1:1 online meetings if needed. Depending on the situation in January 2021, the final class(es) will be held at seminar the room "Lehrredaktion".
Tuesday
06.10.
15:00 - 16:30
Digital
Tuesday
20.10.
15:00 - 16:30
Digital
Tuesday
03.11.
15:00 - 16:30
Digital
Tuesday
17.11.
15:00 - 16:30
Digital
Tuesday
01.12.
15:00 - 16:30
Digital
Tuesday
15.12.
15:00 - 16:30
Digital
Tuesday
12.01.
15:00 - 16:30
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Grading: 60% homework, 40% participation in classes
Two homework assignments:
Homework 1: 25%
Homework 2: 35%
To receive a positive grade, both homework assignments must be submitted and an average of 50% of the total points must be achieved.The online participation in class will be evaluated via different tools via Moodle. The requirements and the assessment criteria for the home assignments remain the same. Methodically, different activities on Moodle are used. Registered students will be informed before the start of the semester via e-mail.
Two homework assignments:
Homework 1: 25%
Homework 2: 35%
To receive a positive grade, both homework assignments must be submitted and an average of 50% of the total points must be achieved.The online participation in class will be evaluated via different tools via Moodle. The requirements and the assessment criteria for the home assignments remain the same. Methodically, different activities on Moodle are used. Registered students will be informed before the start of the semester via e-mail.
Minimum requirements and assessment criteria
The grading scheme reads as follows:
A = 1 (Very Good): 87 - 100%
B = 2 (Good): 75 - 86,99%
C = 3 (Satisfying): 63 - 74,99%
D = 4 (Sufficient): 50 - 62,99%
F = 5 (Not Sufficient): 00 - 49,99%Class attendance is mandatory. 75% Attendance is required.
A = 1 (Very Good): 87 - 100%
B = 2 (Good): 75 - 86,99%
C = 3 (Satisfying): 63 - 74,99%
D = 4 (Sufficient): 50 - 62,99%
F = 5 (Not Sufficient): 00 - 49,99%Class attendance is mandatory. 75% Attendance is required.
Examination topics
-
Reading list
Will be announced in the course
Association in the course directory
Last modified: Fr 12.05.2023 00:20
In sum, the overall goal of the class is to provide students with the necessary conceptual and practical skills to feel comfortable collecting and analyzing data based on their own research questions and designs.Attention: The courses VO Introduction to Data Analysis and UE Applied Data Analysis are linked.