Universität Wien FIND

053631 LP Data Analysis Project (2022W)

Continuous assessment of course work


Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).



Aims, contents and method of the course

In the course of a data analysis project, students acquire the ability to solve data science projects using the methods and techniques that the students have already learned during their studies. The range of possible project topics is quite broad, ranging from theoretical questions to applied topics with a potential industry partnership. Each project should be targeted at groups of 1-4 students, who will work on the project for the full semester, in addition to taking other classes. Each project will be supervised by our teaching staff, sometimes in cooperation with an industry partner. Common sessions and meetings will be arranged and agreed upon with the respective supervisor/s.

We are planning a joint "Data Science Day" at the beginning of next term, in which the students present their work in a poster session to a broader audience including first and second semester students of the Data Science programs.

Assessment and permitted materials

The project must be completed by the end of the term.

Each project will consist of an implementation part (25%), documentation part (25%), presentation/poster part (25%), and participation part (25%) – to be specified by the particular project supervisor/s.

Minimum requirements and assessment criteria

The project must be completed by the end of term. To pass, the average grade based on above examinations must be at least sufficient / 4.0.

Examination topics

To be determined by project supervisors.

Reading list

To be determined by project supervisors.

Association in the course directory

Last modified: Th 02.02.2023 12:28