Utrecht Data School Practicum

Bekijk rooster Print deze pagina

Cursusdoel

At the end of the course, the student can:
1. scrape, clean and structure data from media (e.g. Twitter, newspapers, online forums etc);
2. analyse, enrich and visualize this data;
3. demonstrate a basic knowledge of coding;
4. reflect critically on their own data research practices and results.

Vakinhoudelijk

Priority rules apply to this course. Make sure you register in time to be considered for enrollment. Block 1 before 13 June 12.00 noon; block 3 before 14 November noon.
The following students are guaranteed a place:

• BA Media en cultuur / Media and Culture 3rd year and further;
• BA CIW 3rd year and further;
• BA TCS or LAS 3rd year and further;
• pre-master’s students.

Other students will be placed by means of random selection.

Digital 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 promise and pitfalls of computational methods.

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 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 how to reflect on the decisions they face in their own research.

During the UDS Practicum students are trained to work with relevant tools for data research working with data from media (e.g. social media, online forums, newspapers etc). In ten weeks, they are trained to work with these tools, reflect critically on ethically on their computational research practices and make analyses and visualisations. By the end of the course, they have a portfolio that demonstrates their data skills.

Aanvullende informatie

Werkvormen

Practicum
Toelichting

During the Utrecht Data School Practicum, 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 visualisation, providing the basic tools for digital humanities.

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 verplichte ingangseisen 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

J.J. Bakker j.j.bakker@uu.nl

Docenten

J.J. Bakker j.j.bakker@uu.nl

Inschrijving

Deze cursus is open voor bijvakkers. Controleer wel of er aanvullende ingangseisen gelden.

Inschrijving
Van maandag 31 oktober 2022 tot en met vrijdag 25 november 2022

Na-inschrijving
Van maandag 23 januari 2023 tot en met dinsdag 24 januari 2023

Inschrijving niet geopend
Permanente link naar de cursuspagina
Laat in de Cursus-Catalogus zien