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Utrecht Data School Practicum I
Cursusdoel
Practicum I introduces data analysis skills and gives students the basic toolkit for any data project.
In Practicum II, the student specializes and carries out their own research project in a group setting.
Vakinhoudelijk
The following students are guaranteed a place:
• BA Media en cultuur / Media and Culture;
• BA CIW;
• TCS or LAS;
• pre-master’s students.
Other students will be placed by means of random selection.
Data play a growing role in our society; humans and machines generate more and more data that are stored better and are more often available. This data supply, combined with innovative research methods offers fascinating possibilities for researchers and students. Utrecht Data School (UDS) is a research platform and a course that offers an inside in the possibilities and the risks of data research.
UDS brings together students and researchers from different disciplines, experts in the field of data analysis and speakers from different organizations where data practices play a role. By doing so, we try to show the different sides of working with data and allow students to learn from these disciplines. Furthermore, students experience what it’s like to work on data projects and learn based on practical examples how to reflect on the decisions they face in their own research.
During the UDS Practicum I, students are trained to work with the latest tools for data research. In ten weeks, they are trained to work with these tools, reflect critically on data practices and make analyses and visualisations. During the course, they work on a portfolio that demonstrates their data skills.
Following the UDS Practicum I, students can follow UDS Practicum II. During this practicum, students work with the basis they learn to set up a data project of their own. The second Practicum introduces a few new skills (network analysis, text analysis) and asks of students to apply the skills from Practicum I.
Practicum I is required for participation of Practicum II.
Aanvullende informatie
Werkvormen
Toelichting
During the Utrecht Data School Practicum I, students learn how they can collect and analyse data. Students work under supervision of researchers experienced in digital methods. The practicum introduces different forms of data analysis and visualisatio, providing the basic tools for digital humanities. Furthermore, the practicum prepares for the Utrecht Data School Practicum II, where we delve deeper in methods for analyzing different data sources (e.g. text and networks).
Voorbereiding
Students are expected to get timely access to the relevant software packages and to bring their laptops to classes. Self study and practice is necessary.
Toetsing
Portfolio
Verplicht | Weging 100% | Minimum cijfer 5,5 | ECTS 7,5
Several written assignments during the course and a final product, where all are assessed for the how well (operation) choices are explained, how the research is executed and presented.
To be announced.
Ingangseisen en voorkennis
Ingangseisen
Er is geen informatie over benodigde voorkennis bekend.
Voorkennis
We expect no prior knowledge, but we expect enthusiasm for digital methods.
Voertalen
- Engels
Cursusmomenten
Gerelateerde studies
Tentamens
Er is geen tentamenrooster beschikbaar voor deze cursus
Verplicht materiaal
Er is geen informatie over de verplichte literatuur bekend
Aanbevolen materiaal
Materiaal | Omschrijving |
---|---|
READER | To be announced on Blackboard. |
Coördinator
T. de Winkel | t.dewinkel@uu.nl |
Docenten
J.J. Bakker | j.j.bakker@uu.nl |
T. de Winkel | t.dewinkel@uu.nl |
Inschrijving
Inschrijving
Van maandag 31 mei 2021 tot en met zondag 27 juni 2021
Na-inschrijving
Van maandag 23 augustus 2021 tot en met dinsdag 24 augustus 2021
Inschrijving niet geopend
Permanente link naar de cursuspagina
Laat in de Cursus-Catalogus zien