220077 UE UE Applied Data Analysis (2020W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 14.09.2020 09:00 bis Mi 16.09.2020 18:00
- Abmeldung bis Mi 16.09.2020 18:00
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
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".
- Dienstag 06.10. 15:00 - 16:30 Digital
- Dienstag 20.10. 15:00 - 16:30 Digital
- Dienstag 03.11. 15:00 - 16:30 Digital
- Dienstag 17.11. 15:00 - 16:30 Digital
- Dienstag 01.12. 15:00 - 16:30 Digital
- Dienstag 15.12. 15:00 - 16:30 Digital
- Dienstag 12.01. 15:00 - 16:30 Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
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.
Mindestanforderungen und Beurteilungsmaßstab
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.
Prüfungsstoff
-
Literatur
Will be announced in the course
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: 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.