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
  • Yhteiskunta ja Audiovisuaalinen kulttuuri - TTM-430; Herkman, Juha
  • Liikenteen ja liikkumisen kulttuurihistoriaa - ALKU-E316
  • 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
  • Käsin kirjoitetut aineistot ja automaattinen tekstintunnistus - KUMA-KA303; Kajander, Anna
  • 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
  • Visualisoitu Helsinki (hands on digital history -harjoituskurssi) - HISM-311; Katajisto, Kati & Lahtinen, Anu
  • Digital Media and Society - PVK-V205; Stocchetti, Matteo
  • Organizational Communication in the Digital Age - GPC-O315; Sauri, Pekka
  • Hack4FI – Hack your heritage – hackathon
  • Wide – Open Source Science – hackathon

Spring 2019

  • Current Topics in Digital Humanities I - LDA-H507; Tolonen, Mikko
  • 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
  • Folklore ja internet - KUMA-FO303
  • Digital Media and Culture in Asia Research Seminar – Methods, Approaches, Case Studies - ALKU-302; Zeiler, Xenia
  • 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
  • Social Media and Social Psychology - SOSM-SP324; Uski, Suvi

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

Courses suitable for beginners in digital methods:

  • Digital text analysis in Russian and East European studies - ALKU-IK533
  • Linguistics in the Digital Age - LDA-3103; Tiedemann, Jörg
  • Korpuslingvistiikka ja tilastolliset menetelmät - KIK-404; Lennes, Mietta
  • Introduction to Language Technology - KIK-405
  • Määrälliset menetelmät historiantutkimuksessa - HISK-234; Danielsbacka, Mirkka & Liski, Virva
  • Quantitative and Computational Methods - GPC-323; Nelimarkka, Matti
  • Sosiaalitutkimuksen tilastolliset menetelmätaidot - SOSM-401; Toikka, Arho
  • Johdatus tilastotieteisiin (ruotsiksi) - KSV-402; Selenius, Marie
  • Tilastotiede ja R tutuksi I - MAT12001; Varvio, Sirkka-Liisa
  • Tilastotiede ja R tutuksi II - MAT12002; Varvio, Sirkka-Liisa
  • R-basic course - FOR-006; Isotalo, Jarkko & Tanhuanpää, Topi
  • Tieteellinen laskenta I - FYS1013; Jetsu, Lauri
  • Ohjelmoinnin MOOC
  • Ohjelmoinnin perusteet - TKT10002; Hellas, Arto
  • Introduction to Data Science - DATA11001; Roos, Teemu
  • Tiedon haku ja hallinta – Tietoverkot historiantutkimuksen apuna - verkkokurssi; Onnela, Tapio

Other courses:

  • Luonnollisen kielen käsittelyn sovellusten rakentaminen - KIK-LG211; Creutz, Mathias
  • Puheen analyysin perusteet - KIK-LG212; Lennes, Mietta
  • Computational Semantics - LDA-T3103; Creutz, Mathias
  • Models and Algorithms in NLP-applications - LDA-T3105; Silfverberg, Miikka & Scherrer, Yves
  • Corpus clinic - LDA-T3110; Lennes, Mietta
  • Language Technology for Finno-Ugric Languages - Methods, Tools and Applications - LDA-T3113; Rueter, Jack
  • Kääntäjän ja tulkin sanastotyö -TRA-A369; Kudasheva, Irina
  • Monikielinen sisällönhallinta - TRA-B332; Carlson, Lauri
  • Tietokoneavusteinen kääntäminen (CAT) - TRA-B333; Carlson, Lauri
  • Terminologia ja ontologiat - TRA-B336; Carlson, Lauri
  • Monikielinen kieliteknologia - TRA-B339; Carlson, Lauri
  • Terminologian menetelmät - TRA-Y305; Pasanen, Päivi
  • Methodology in Corpus Linguistics - ENG-3013; Hiltunen, Turo
  • Methodology in Applied Linguistics - ENG-3012; Solin, Anna
  • Johdatus yhteiskuntatilastotieteeseen, osa 1 - VALT-103; Vehkalahti, Kimmo (MOOC + lähiopetus)
  • Johdatus yhteiskuntatilastotieteeseen, osa 2 - VALT-104; Vehkalahti, Kimmo (MOOC + lähiopetus)
  • 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
  • Time series analysis II - MAST32008; Kalliovirta, Leena
  • Generalized linear models II - MAST33001; Möttönen, Jyrki
  • Bayes-päättely - MAT22005
  • Scientific computing II - FYS2085; Kuronen, Antti
  • Legal Tech Hackathon - OIK-R442; Koulu, Riikka
  • Quantitative research techniques and analysis in human geography - GEOG-H302; Bernelius, Venla
  • Introduction to advanced geoinformatics - GEOG-G301; Toivonen, Tuuli
  • Automating GIS-processes - GEOG-329; Tenkanen, Henrikki & Whipp, David
  • Urban GIS and visual tools - USP-303
  • Kyselytutkimus - EKM-118; Niskanen, Vesa
  • Statistical data analysis - AGERE-008; Niskanen, Vesa & Valtiala, Juho
  • Statistical Methods - PAP334; Österberg, Kenneth
  • Geoinformatiikka 1 - ME-203; Holopainen, Markus
  • Trends in biostatistics and bionformatics - LSI34001; Varvio, Sirkka-Liisa
  • Statistical methods in public health - LSI34005; Härkänen, Tommi
  • Bayesian inference in biosciences - LSI35002; Vanhatalo, Jarno
  • Clinical data mining - LSI36001; Hautaniemi, Sampsa
  • Käytännöllisen teologian menetelmäopinnot, kvantitatiiviset menetelmät - TUM-M3104; Seppälä, Tuija
  • Shell Scripting - CSM13501; Varjonen, Samu
  • Ohjelmoinnin jatkokurssi - TKT10003; Hellas, Arto
  • Introduction to Machine Learning - DATA11002; Ukkonen, Antti
  • Statistical Data Science - DATA11006; Ilvonen, Liisa
  • Deep Learning - DATA20001; Sjöberg, Mats & Yangarber, Roman
  • String Processing Algorithms - CSM12102; Mäkinen, Veli
  • Human Computer Interaction - CSM13401; Salovaara, Antti
  • Introduction to Big Data Management - DATA14002; Lu, Jiaheng  & Mathioudakis, Michail
  • Distributed Data Infrastructures - DATA11003; Kangasharju, Jussi
  • Introduction to Artificial Intelligence / Johdatus tekoälyyn - DATA15001; Roos, Teemu

Spring 2019

Courses suitable for beginners in digital methods:

  • Corpus Linguistics and Statistical Methods - KIK-404; Lennes, Mietta
  • Tilastomenetelmiä lingvisteille - KIK-LG207; Sinnemäki, Kaius
  • Ohjelmointia lingvisteille - KIK-LG208; Creutz, Mathias
  • Introduction to NLP for Digital Humanities (Python) - LDA-H506; Hengchen, Simon
  • Kvantitatiiviset menetelmät - YK-264; Eloranta, Jari
  • Johdatus ihmistieteiden digitaalisiin menetelmiin"-työpaja - YMV-P514
  • Ohjelmoinnin perusteet - TKT10002; Hellas, Arto

Other courses:

  • Mathematics for Linguistics - KIK-LG209
  • Koneoppimisen perusteet lingvisteille - KIK-LG210; Creutz, Mathias
  • Scientific Programming - LDA-C5002; Tuhkanen, Samuel & Cowley, Benjamin
  • Computational morphology - LDA-T3101; Creutz, Mathias
  • Computational syntax - LDA-T3102; Scherrer, Yves
  • Laboratory course in phonetics - LDA-P3102
  • Digitaaliset aineistot ja metodit klassikoille: Sunoikisis Digital Classics - KIM-LA374; Vierros, Marja
  • Syventävät kvantitatiiviset menetelmät - YMT-3505; Saaritsa, Sakari
  • Tilastollinen päättely I - MAT12004; Varvio, Sirkka-Liisa
  • Tilastollinen päättely II - MAT22003; Piiroinen, Petteri
  • Spatial Modelling and Bayesian Inference - MAST32005; Vanhatalo, Jarno
  • Time series analysis I - MAST32007; Kalliovirta, Leena
  • Robust Regression - MAST33004; Möttönen, Jyrki
  • 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
  • Statistical Inverse Methods - PAP303; Penttilä, Antti
  • 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
  • Network Analysis - DATA16001; Hui, Pan & Mathioudakis, Michail
  • Scientific computing III - MATR322; Kuronen, Antti

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

Autumn 2018

Courses suitable for beginners in digital methods:

Other courses:

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.