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Cursus: ME3V20004
ME3V20004
Utrecht Data School Practicum I
Cursus informatieRooster
CursuscodeME3V20004
Studiepunten (ECTS)7,5
Categorie / Niveau3 (Bachelor Gevorderd)
CursustypeCursorisch onderwijs
VoertaalEngels
Aangeboden doorFaculteit Geesteswetenschappen; BA Onderwijs Geesteswetenschappen; Ug School Media en Cultuurwetenschappen;
ContactpersoonT. de Winkel
E-mailt.dewinkel@uu.nl
Docenten
Docent
J.J. Bakker
Overige cursussen docent
Docent
T. de Winkel
Overige cursussen docent
Contactpersoon van de cursus
T. de Winkel
Overige cursussen docent
Blok
1  (06-09-2021 t/m 05-11-2021)
Aanvangsblok
1
TimeslotA: A (MA-ochtend, DI-namiddag, WO-ochtend)
Onderwijsvorm
Voltijd
Cursusinschrijving geopendvanaf 31-05-2021 09:00 t/m 27-06-2021 23:59
AanmeldingsprocedureOsiris
Inschrijven via OSIRISJa
Inschrijven voor bijvakkersJa
VoorinschrijvingNee
Na-inschrijvingJa
Na-inschrijving geopendvanaf 23-08-2021 09:00 t/m 24-08-2021 23:59
WachtlijstNee
Plaatsingsprocedure(Sub)school
Cursusdoelen
The practicum strives to bridge education, theory and practice in data projects. Students learn to analyse, enrich and visualize data. Furthermore, students learn to reflect on the choices they make and to place their findings in the right context.
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.
Inhoud
Priority rules apply to this course. Make sure you register for this course before June 14, 12.00 noon to be considered for enrollment.

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
 
Competenties
-
Ingangseisen
-
Voorkennis
We expect no prior knowledge, but we expect enthusiasm for digital methods.
Verplicht materiaal
-
Aanbevolen materiaal
Reader
To be announced on Blackboard.
Werkvormen
Practicum

Algemeen
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 bijeenkomsten
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.

Toetsen
Portfolio
Weging100
Minimum cijfer5,5

Beoordeling
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.

Deadlines
To be announced.

Aspecten van academische vorming
Academisch denken, werken en handelen
Communicatieve vaardigheden
Hanteren van wetenschappelijk instrumentarium

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