Digital Humanities Teaching, 2015-16 (updated)

 

NEW ADDED DH COURSES FOR SPRING 2016!

Asian Studies: Digital Media in India: Religion, Culture, Society seminar course (WAS211; WAS212; WSA321; WAS 324, WED 12-14, 20.1.2016-4.5.2016)

Church History: Kirjahistorian perusteet (KH260A)

Church History: Kirjahistorian lähteet ja metodit (KH260B)

 

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In 2015-16 we will pilot a Digital Humanities 25-credit minor subject study block at the Faculty of Arts for those University of Helsinki students who have completed their bachelor’s degree.

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For an earlier post about the Digital Humanities minor subject study block see:

http://blogs.helsinki.fi/mstolone/2015/08/17/digital-humanities-minor-subject-study-block-25-credits-university-of-helsinki-faculty-of-arts-2015-16/

You can find DIGIHUM also in Weboodi. Registration to some of the courses (including mandatory “Introduction to digital humanities”, 28.10-11.12.2015) has already begun:

Digitaalinen humanismi, 2015-16 

The optional courses listed in Weboodi can be supplemented, below is an updated listing of possible courses.  Of new courses added to the list, note especially ”Avoin digitaalinen kulttuuriperintö” and “Digihumanismi ja tekstiaineistot” that have been particularly designed with the Digital Humanities Teaching module in mind. Also other new courses are listed! If you note that something is missing and should be listed (regarding Spring 2016 especially), please point this out.

 

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 DH1 Theory and practice (5-15 sp)

DH1a Introduction to digital humanities (5 sp, Johdatus DH) 

DH1b Optional courses to choose from (0-10 sp)

English philology: Korpuslingvistiikka (Eng310c)

Translation studies: Digitaaliset aineistot (CKT279)

Finnish language: Kielenoppiminen, vuorovaikutus ja teknologia (Ssu353/Ssu312T/Ssu208T)

Finnish language: Monitieteinen termityö (Ssu351/Ssu311/Ssu901)

Finnish language: Käsiteanalyysi ja termityö (Ssu311/Ssu356)

History: Digitala källör och medier (HHR233)

History: Games and history (HHR222)

History: Historiantutkimus, tilastot ja määrällinen tutkimus (Hhh247/HSS314/322)

Church History: Kirjahistorian perusteet (KH260A)

Church History: Kirjahistorian lähteet ja metodit (KH260B)

Ethnology: Avoin digitaalinen kulttuuriperintö (KSU350)

Musicology: Johdatus tietokoneavusteiseen musiikintutkimukseen (TMU112E)

Film and television studies: Yhteiskunta ja av-kulttuuri (TET1050e)

Film and television studies: Av mediakasvatus (TET1062e)

Asian Studies: Digital Media in India: Religion, Culture, Society seminar course (WAS211; WAS212; WSA321; WAS 324, WED 12-14, 20.1.2016-4.5.2016)

  • OTHER SUITABLE ONES CAN BE SUGGESTED

 

DH2 Methods

 Courses to choose from (5-15 sp)

FIN-CLARIN: Digihumanismi ja tekstiaineistot (2nd period)

University of Aalto: Ohjelmointia Scalalla (MOOC)

Computer science: Ohjelmoinnin MOOC (Java)

Social Sciences: Introduction to programming for social scientists

Art history: Paikkatiedon (GIS) sovellukset kulttuurintutkimukseen (TTA250)

Computer science: Tilastollinen päättely R-ohjelmistolla

Language technology: Tulosten esittäminen ja niiden arviointi tilastomenetelmillä (CLT255)

Finnish language: Johdatus korpuslingvistiikkaan ja kielitieteen laskennallisiin menetelmiin (Ssu221-226, Ssu351-NORSU1)

Language technology: Korpuslingvistiikan johdantokurssi (CLT150)

Musicology: Musiikkiohjelmoinnin perusteet (TMU211CE)

Translation studies: Kääntämisen tietotekniikka (CKT114)

Language technology: Ohjelmointi ja luonnollisen kielen käsittely 1 (CLT237)

Language technology: Kielen morfologisen käsittelyn työkalut 1 (CLT261)

Language technology: Johdatusta luonnollisen kielen käsittelyyn (CLT120)

Translation studies: Konekäännös (CKT276)

Archeology: Paikkatietoklinikka (KAR214)

Social Sciences: Complex systems

Social Sciences: Data extraction

In addition, many of the courses offered at Aalto and in Computer science (HY) fit the Methods part of the module. The inclusion of other courses should be negotiated separately. Examples of such courses are:

Aalto: Machine Learning: Basic Principles

Aalto: Statistical Natural Language Processing

Aalto: Information Visualization

Computer science: Introduction to Machine Learning

Computer science: Data Mining (guided self study)

Computer science: Big Data Frameworks

 

DH3 Multidisciplinary project (5 sp)
→ Mandatory (for the spring 2016 course, contact Mikko Tolonen, mikko.tolonen@helsinki.fi)

 

 

 

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