960028 VU Basics of IT and Data Science (2024W)
Continuous assessment of course work
Labels
MIXED
Hierbei handelt es sich um ein kostenpflichtiges Angebot der Universitätslehrgänge/Zertifikatskurse des Postgraduate Center. Bitte beachten Sie, dass für die Teilnahme eine Zulassung zum Universitätslehrgang/Zertifikatskurs erforderlich ist. Weitere Informationen zu den Angeboten des Postgraduate Center finden Sie unter: https://www.postgraduatecenter.at/
Details
Language: German
Lecturers
Classes
Currently no class schedule is known.
Information
Aims, contents and method of the course
Assessment and permitted materials
There is no written examination. The participants are expected to study set reading materials and the contents covered in class in order to successfully complete the assignments. Further information will be provided in Moodle well in advance.
Minimum requirements and assessment criteria
Three written assignments in Moodle. Grading Key:
1 (excellent) 25-23 points
2 (good) 22.9-20 points
3 (satisfactory) 19.9-16 points
4 (sufficient) 15.9-13 points
5 (insufficient) < 13 points
1 (excellent) 25-23 points
2 (good) 22.9-20 points
3 (satisfactory) 19.9-16 points
4 (sufficient) 15.9-13 points
5 (insufficient) < 13 points
Examination topics
The participants are expected to study set reading materials and the contents covered in class in order to successfully complete the assignments.
Reading list
The reading list including relevant journal articles and book chapters will be assigned in connection with the session topics and made available through Moodle.
Association in the course directory
Last modified: Fr 09.08.2024 13:06
o Data Science and data-driven research
o Machine learning
o Database systems
o Programming concepts
Basics of programming:
o Unix Shell (based on the Carpentries curriculum)
o Git and GitHub (based on the Carpentries curriculum)
o Working with Python (based on the Carpentries curriculum)