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Cursus: ME3V20005
ME3V20005
Utrecht Data School Practicum II
Cursus informatieRooster
CursuscodeME3V20005
Studiepunten (ECTS)7,5
Categorie / Niveau3 (Bachelor Gevorderd)
CursustypeCursorisch onderwijs
VoertaalEngels
Aangeboden doorFaculteit Geesteswetenschappen; BA Onderwijs Geesteswetenschappen; Ug School Media en Cultuurwetenschappen;
ContactpersoonK.F. van Es
E-mailK.F.vanEs@uu.nl
Docenten
Docent
J.J. Bakker
Overige cursussen docent
Docent
K.F. van Es
Overige cursussen docent
Contactpersoon van de cursus
K.F. van Es
Overige cursussen docent
Blok
2  (15-11-2021 t/m 28-01-2022)
Aanvangsblok
2
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 25-10-2021 09:00 t/m 26-10-2021 23:59
WachtlijstNee
Plaatsingsprocedure(Sub)school
Cursusdoelen
The practicum tries to bridge education, theory and practice. In Practicum I, students acquire the basic skillset for data research.
During the second practicum they specialize in the contexts of network analysis and text analysis and learn how to apply these in group setting on a research project of their own.
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;
  • premaster’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.
Competenties
-
Ingangseisen
Je moet voldoen aan de volgende eisen
  • Minimaal 1 van de onderstaande cursussen moet(en) zijn behaald
    • Mec-Practicum Nieuwe media I (ME3V16001)
    • Mec-Utrecht Data School Practicum I (ME3V20004)
Voorkennis
Completion of Utrecht Data School Practicum I
Voorkennis kan worden opgedaan met
Completion of Utrecht Data School Practicum I
Verplicht materiaal
-
Aanbevolen materiaal
Reader
To be announced on Blackboard
Werkvormen
Practicum

Algemeen
Continuing on the knowledge from Utrecht Data School Practicum I, students develop their skills in text analysis and network analysis. Individually, students develop a portfolio that demonstrates their data skills. In groups, they work on a research in which they put the skills from both Practicums in practice on a question of their own choosing.

Voorbereiding bijeenkomsten
Students are expected to install the necessary software packages timely and bring their laptops to class.

Toetsen
Portfolio
Weging60
Minimum cijfer5,5

Beoordeling
Assignments test technical skills, critical reflection and presentation of results.

Deadlines
To be announced in the Course Manual.

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

Verslag
Weging40
Minimum cijfer-

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