Teaching

The current major effort in teaching on the part of HELDIG is maintaining the Digital Humanities minor subject study block at the Faculty of Arts, described below. In addition to this, HELDIG aims to provide learning possibilities also to researchers in humanities and social sciences, as well as to anyone willing to learn digital humanities by themselves. To serve these audiences, HELDIG firstly runs a Digital Humanities Research Seminar, and secondly has multiple online learning materials in active development.

For method studies in the field of social sciences, see the collection of courses by the Faculty of Social Sciences Centre for Research Methods.

For whom? Aimed mainly for MA students and beyond. Bachelor degree is required for completion of the full study module. However, you can start taking individual courses (for example, Introduction to Digital Humanities & Introduction to Methods in Digital Humanities) already before.
What? Modular study block of digital humanities that will give you the rudiments of theory and practice including the basics of relevant methods.
How? Three part structure:

DH module structure new

  • The two mandatory introductory courses of the module are taught each autumn:
  • After this, you are free to choose 15sp worth of elective courses from the Theory and practice and Methods selections listed below (10sp if already enrolled in an earlier version of this module)
  • The module closes with LDA-H502 Multidisciplinary project (5 sp) that takes place each spring in hackathon spirit (201520162017 & 2018).

NB! The information will be updated also during the year as more suitable courses turn up.

Autumn 2018

  • Arkiven, de digitala hjäpmedlen och källorna till Finlands och Skandinaviens äldre historia - HISK-234; Strömberg, John
  • Liikenteen ja liikkumisen kulttuurihistoriaa - ALKU-E316
  • Methodology in Corpus Linguistics - ENG-3013; Hiltunen, Turo
  • Methodology in Applied Linguistics - ENG-3012; Solin, Anna
  • Theory and Methods of Digital Governance, Organizations and Communication - GPC-O311; Ahonen, Pertti & Nelimarkka, Matti
  • Käsiteanalyysi ja termityö - SUKU-S330; Pitkänen-Heikkilä, Kaarina
  • Museological Theory - KUMA-MU501; Robbins, Nina & Thomas, Suzanne
  • Museum Collections - KUMA-MU502; Robbins, Nina
  • Digitaalisen yhteiskunnan rajapinnoilla - SOSM-321; Kaarakainen, Minna & Laaksonen, Salla
  • Data Journalism - MSV-JK302; Lindén, Carl-Gustav
  • Audiovisuaalinen uutistenvälitys - TTM-EL320; Bacon, George
  • Material Culture Studies - KUMA-KP505
  • Digital Text Analysis - ENG-3075; Flanagan, Joseph
  • Introduction to Digital Methods in Area and Cultural Studies - LDA-H506; Gritsenko, Daria
  • Introduction to digital methods in environmental social science - ECGS-155; Gritsenko, Daria
  • Area Studies in the Era of Big Data - ICE-303; Gritsenko, Daria
  • Music Videos: Ontology, Analysis and Outreach - verkkokurssi; Pääkkölä, Anna-Elena
  • Digitaaliset nimiaineistot - sisällöt ja käyttömahdollisuudet - NIMI-511; Raunamaa, Jaakko

Spring 2019

  • The Game of History: Playing with Time and Culture - MKK-345; Fewster, Derek
  • Kulturens digitala dimensioner - MKK-331; Parland-von Essen, Eva
  • Avoin digitaalinen kulttuuriperintö - KUMA-KP505
  • Language Typology - LDA-G3101; Miestamo, Matti
  • Media, Activism and Social Change - GPC-M322; Horowitz, Minna
  • Digital urban - USP-363
  • Laws of the Digital Era - IBL-427; Alen-Savikko, Anette

These are possible optional courses, also other courses can be offered or chosen. If you know a suitable course for digital humanities, please contact mikko.tolonen@helsinki.fi.

NB! The information will be updated also during the year as more suitable courses turn up.

Please note that some of the courses (especially Computer science/Mathematics) may have prerequisites on e.g. programming skills.

Autumn 2018

  • Sosiaalitutkimuksen tilastolliset menetelmätaidot - SOSM-401; Toikka, Arho
  • Computational statistics I - MAST32001; Honkela, Antti
  • Computational statistics II - MAST32002; Heikkilä, Mikko
  • Data analysis with SAS - MAST33011; Valaste, Maria
  • Survey methodology and European statistical system - MAST33019; Valaste, Maria
  • Survey Sampling - MAST33018; Valaste, Maria
  • Tilastotiede ja R tutuksi I - MAT12001; Varvio, Sirkka-Liisa
  • Tilastotiede ja R tutuksi II - MAT12002; Varvio, Sirkka-Liisa
  • Korpuslingvistiikka ja tilastolliset menetelmät - KIK-404; Lennes, Mietta
  • Luonnollisen kielen käsittelyn sovellusten rakentaminen - KIK-LG211; Creutz, Mathias
  • Puheen analyysin perusteet - KIK-LG212; Lennes, Mietta
  • Linguistics in the Digital Age - LDA-3103; Tiedemann, Jörg
  • Computational Semantics - LDA-T3103; Creutz, Mathias
  • Corpus clinic - LDA-T3110; Lennes, Mietta
  • Language Technology for Finno-Ugric Languages - Methods, Tools and Applications - LDA-T3113; Rueter, Jack
  • Monikielinen sisällönhallinta - TRA-B332; Carlson, Lauri
  • Tietokoneavusteinen kääntäminen (CAT) - TRA-B333; Carlson, Lauri
  • Quantitative research techniques and analysis in human geography - GEOG-H302; Bernelius, Venla
  • Urban GIS and visual tools - USP-303
  • Kyselytutkimus - EKM-118; Niskanen, Vesa
  • R-basic course - FOR-006; Isotalo, Jarkko & Tanhuanpää, Topi
  • Statistical data analysis - AGERE-008; Niskanen, Vesa & Valtiala, Juho
  • Geoinformatiikka 1 - ME-203; Holopainen, Markus
  • Käytännöllisen teologian menetelmäopinnot, kvantitatiiviset menetelmät - TUM-M3104; Seppälä, Tuija
  • Ohjelmoinnin MOOC
  • Introduction to Data Science - DATA11001; Roos, Teemu
  • Introduction to Machine Learning - DATA11002; Ukkonen, Antti
  • Deep Learning - DATA20001; Sjöberg, Mats & Yangarber, Roman
  • Human Computer Interaction - CSM13401; Salovaara, Antti
  • Introduction to Big Data Management - DATA14002; Lu, Jiaheng  & Mathioudakis, Michail
  • Distributed Data Infrastructures - DATA11003; Kangasharju, Jussi
  • Tiedon haku ja hallinta – Tietoverkot historiantutkimuksen apuna - verkkokurssi; Onnela, Tapio

Spring 2019

  • Tilastollinen päättely I - MAT12004; Varvio, Sirkka-Liisa
  • Tilastollinen päättely II - MAT22003; Piiroinen, Petteri
  • Time series analysis I - MAST32007; Kalliovirta, Leena
  • Corpus Linguistics and Statistical Methods - KIK-404; Lennes, Mietta
  • Introduction to NLP for Digital Humanities (Python) - LDA-H506; Hengchen, Simon
  • Computational morphology - LDA-T3101; Creutz, Mathias
  • Computational syntax - LDA-T3102; Scherrer, Yves
  • Laboratory course in phonetics - LDA-P3102
  • Syventävät kvantitatiiviset menetelmät - YMT-3505; Saaritsa, Sakari
  • Open GIS and spatial data infrastructures - GEOG-323; Bergroth, Claudia & Holopainen, Markus & Toivonen, Tuuli & Willberg, Elias
  • Applied spatial statistics and urban modelling - GEOG-325; Votsis, Athanasios
  • Survey methods in marketing and social sciences - FOR-103; Berghäll, Sami
  • Tilastollisia malleja: Yleistettyjen lineaaristen mallien perusteet - FOR-007; Isotalo, Jarkko
  • Statistical data analysis - AGERE-008; Niskanen, Vesa & Valtiala, Juho
  • Geoinformatiikka 2 - ME-230; Holopainen, Markus
  • Monimuuttujamenetelmät - PSYM-501; Lipsanen, Jari
  • Advanced Course in Machine Learning - DATA12001; Klami, Arto
  • Computational Creativity - DATA15002; Alnajjar, Khalid & Granroth-Wilding, Mark & Kantosalo, Anna & Linkola, Simo & Toivonen, Hannu
  • Interactive Data Visualization - DATA15003; He, Chen

Possible method courses offered Aalto University (Aalto CS) include:

Autumn 2018

Spring 2019

These are possible courses, also other courses can be offered and chosen. If you know a suitable course for digital humanities, please contact: mikko.tolonen@helsinki.fi.

Those with advanced skills in methods may get credit by proving your skills (i.e. free credit for methods) when you commit to the LDA-H502 Multidisciplinary project.