Seminars and courses - Page 2

Time and place: , Zoom

«Find, appraise and use research literature» is a full day seminar designed as a supplement to the MF9010E – Introductory course to the medical PhD programme, INTRO I.

Time and place: , GSH: LINKEN

This workshop is for those who want to learn more about coding, classifying, querying, and visualizing material in a range of formats in NVivo.

Time and place: , GSH: LINKEN

Denne workshoppen er for deg som ønsker å lære mer om å kode, klassifisere, gjøre spørringer og visualisere materiale i en rekke formater i NVivo.

Time and place: , Læringsoasen, Georg Sverdrups hus

Kurset går over tre timer og gir en innføring i bruk av referansehåndteringsprogrammet EndNote. Teksten på denne siden viser deg hva du skal ha i orden, før du møter på kurs.

Time and place: , Læringsoasen, Georg Sverdrups hus

Kurset går over tre timer og gir en innføring i bruk av referansehåndteringsprogrammet EndNote. Teksten på denne siden viser deg hva du skal ha i orden, før du møter på kurs.

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Time and place: , Auditorum Simula, Ole Johan Dahls Hus

TSD, Nettskjema og HPC sitt brukermøte. 

Time and place: , Sophus Bugges hus, Seminar rom 2

Are you writing something? Of course you are! Join Writer's Hours, a low threshold, socially guaranteed artificial environment for concerted writing during HF PhD Week and get some work done!

Time and place: , Sophus Bugge sem. room 4

Learn how to use Autotekst for automatic text recognition of speech to text. Autotekst recognizes a wide range of languages and several audio and video formats. Autotekst is approved for use of red data.

Time and place: , Sophus Bugges hus, Seminar rom 2

This course identifies the “kappe” as a distinct element of the full body of work in an article-based PhD dissertation and offers conceptual and practical perspectives on how to position the “kappe” and how to write it.

Time and place: , Sophus Bugge sem. room 4

Get an introduction to this user-friendly web-based application for digital text analysis — text mining — performing automated computational text analysis on documents in a range of formats and languages, and creating rich data visualizations to communicate the data.