Digital humanities courses

The courses listed here are part of digital humanities elective module and are geared towards all MA and PhD students in the field of humanities or other relevant fields. BA students are also welcome to take the courses. Students can take single courses or the whole module.

Aim of the module is to provide an overview of the different possibilities, methods, and approaches in digital humanities while integrating these to the specific interests and needs of the student. Courses are focused on developing practical skills. Students can learn data analysis, programming, database principles and corpora, applications for spatial data and research reproducibility etc. Most courses do not require any previous knowledge of the topic.

At the moment the whole elective module can be found in Study Information System under Estonian and Finno-Ugric Linguistics MA curriculum, but it is open to and very welcoming for everyone.

 

All digital humanities elective module courses

  • HVHV.00.002 Introduction to Digital Humanities (3 ECTS) (in English)
  • HVEE.04.006 Introduction to R and Data Structures (3 ECTS)
  • FLFL.00.009  Basics of Quantitative Data Analysis for the Humanities with R (3 ECTS) 
  • HVAJ.02.003 Databases of History (3 ECTS)
  • FLAJ.02.137  Digital Archives and Records Management (3 ECTS)
  • HVEE.04.004 Processing Estonian Language in Python (6 ECTS)
  • HVHV.00.001 Applying GIS in the Humanities (3 ECTS) (in English)
  • HVHV.00.007 From Paper to Computer (3 ECTS) 
  • MTAT.03.236 Introduction to Programming (3 ECTS) 
  • MTAT.03.256 Introduction to Programming II (3 ECTS) 
  • HVEE.04.007  Analyzing Text Corpora (3 ECTS)
  • HVEE.04.008  Course in Digital Humanities (3 ECTS)
  • HVHV.00.005 Open and Collaborative Humanities (3 ECTS) (in English)

 

 

2019/20 autumn semester courses:

HVEE.04.016 Macroscopic Methods for Culture Analytics (1 ECTS) (in English)

The course is taught UCLA professor Timothy Tangherlini, who is one of the guest lecturers for this semester. The course focuses on developing an understanding of all the steps related to creating macroscopic views onto rich, heterogeneous cultural data.

This is an intensive course and is taking place 03.09.–13.09.2019 in Lossi 3-406 computer lab.

Additional info: digihum.ut.ee/macroscopic_methods

This course is supported by the European Regional Development Fund (University of Tartu ASTRA Project PER ASPERA).

HVHV.00.002 Introduction to Digital Humanities (3 ECTS) (in English)

This course is taught by guest lecturer Artjoms Šela. The goal is to introduce participants to the diverse field of digital humanities: to provide guidelines for the key notions, methods and theories of the "digital" framework and to explore the tools already available for conducting digital-based research.

The course is taking place on Thursdays 12:15–14:00 12.09.–19.12.2019 in Lossi 3-406 computer lab.

This course is supported by the European Regional Development Fund (University of Tartu ASTRA Project PER ASPERA).

HVEE.04.013 Documentary linguistics (3 ECTS) (in English)

This course is taught by guest lecturer Joshua Wilbur and presents and explores methods used in collecting and analyzing digital data for linguistics and other disciplines which commonly use fieldwork for data collection (such as anthropology, ethnography, oral history, musicology, etc.).

The course is taking place on Tuesdays 14:15–16:00 10.09.–17.12.2019 in Jakobi 2-428.

This course is supported by the European Regional Development Fund (University of Tartu ASTRA Project PER ASPERA).

HVEE.04.006 Introduction to R and Data Structures (3 ECTS) (in Estonian)

This course introduces the R application. Students will learn to prepare and process the data in R; to use regular expressions for text search and conversions and also some basic statistics and visualization.

The course is taking place on Mondays 10:15–12:00 and on Wednesdays 12:15–14:00 30.09.–12.11.2019 in Lossi 3-406 computer lab.

HVEE.04.004 Processing Estonian Language in Python (6 ECTS) (in Estonian)

The aim of the course is to enhance the programming skills acquired at basic courses and to gain knowledge of and practical experiences in using automatic methods to process Estonian texts.

The course is taking place on Fridays 10:15–12:00 06.09.–29.11.2019 in Lossi 3-406 computer lab.

HVAJ.02.003 Databases of History (3 ECTS) (in Estonian)

The objective of the course is to provide students with the skills for using existing Estonian history thematic databases and the records associated with them, and to provide basic knowledge on the operating principles and creation of databases based on historical sources.

 

 

 

 

 

Previous semesters

2018/19 autumn semester courses:

  • HVHV.00.005 Open and Collaborative Humanities (3 ECTS) (in English)

Registration was open until 05.10.2018! Course is taught by guest lecturer Néhémie Strupler. For 10 years there is a general debate in science about how research is conducted because scientists found that many results, especially based on the analysis of digital data, are impossible to reproduce. In this course we will pay close attention to the ‘reproducibility crisis’ in science and how this is modifying some of the collaboration practices in research to identify the major trends that will influence the future of digital humanities. This course introduces to the field of humanities computing with a special emphasis on how to make a transparent, open and collaborative research, with reproducibility as a minimum necessary condition for results to be believable. More broadly, this course will interrogate the ethics and practices of sharing knowledge within the paradigm of ‘Data Science’.

The course will take place on Fridays (12:15) 05.10. - 14.12.2018 in Jakobi 2-129.

This course is supported by the European Regional Development Fund (University of Tartu ASTRA Project PER ASPERA).

 

  • HVHV.00.001 Applying GIS in the Humanities (3 ECTS) (in English)

Registration is still open until 08.10.2018! Course is taught by guest lecturer Néhémie Strupler.  The goal of this course is to introduce the main applications of GIS in the humanities. Combining spatial data with data from the humanities enables to characterize places in a more diverse manner, while also creating a spatial dimension for humanities data analysis and allowing to pose new research questions.

The course  will take place on Mondays (10:15) and Wednesdays (16:15) 01.10. - 17.12.2018 in Lossi 3-406.

This course is supported by the European Regional Development Fund (University of Tartu ASTRA Project PER ASPERA).

 

  • HVEE.04.011 Digital Humanities seminar: how methods are changing theory (2 ECTS) (in English)

This reading seminar aims to explore the effect of quantitative and computational methods on theoretical changes in different domains of humanities. Rather than approaching Digital Humanities as standalone field we look back to specific disciplines that embraced quantitative framework and try to survey recent groundbreaking research in literary/cultural studies, linguistics and anthropology. This is a reading seminar with series of discussions on recent topics we find important.

Meetings will happen once per two weeks (five times total) from 15.10 - 16.12.2018.

  

  • HVHV.00.002  Introduction to Digital Humanities (3 ECTS) (in English)

The goal of the course is to introduce participants to the diverse field of digital humanities: to provide guidelines for the key notions, methods and theories of the "digital" framework and to explore the tools already available for conducting digital-based research.

The course is taking place on Tuesdays (16:15) 11.09. - 26.12.2018 in Jakobi 2-106.

 

  • HVEE.04.006 Introduction to R and Data Structures (3 ECTS) (in Estonian)

This course introduces the R application. We will learn to prepare and process the data it in R; to use regular expressions for text search and converions; some basic statistics; visualization.

The course  will take place on Mondays (12:15) and Wednesdays (12:15) 01.10. - 17.12.2018 in Lossi 3-406.

 

  • HVEE.04.004 Processing Estonian Language in Python (6 ECTS) (in Estonian)

The course covers automatic processing of Estonian from the practical viewpoint - how to use methods and algorithms to analyse textual data.

The course is taking place on Fridays (10:15) 06.09. - 07.12.2018 in Lossi 3-406.

 

  • HVAJ.02.003 Databases of History (3 ECTS) (in Estonian)

This course introduces Estonian history subject databases and teaches practical skills for using them. It focuses on Estonian National Archives thematic databases and on records and websites that have been created to enable researchers to better use these databases. The course proceeds to provide basic knowledge about the creation of databases and introduces the particular features and problems of databases based on historical sources.

The course is taking place on Wednesdays (16:15) 06.09. - 07.12.2018 in Jakobi 2-217.

 

2018/19 spring semester courses:

  • HVEE.00.007 Introduction to Social Network Analysis (3 ECTS) (in English)
  • HVEE.04.008 Course in Digital Humanities (3 ECTS) (in English) (focusing on text mining)
  • HVEE.04.012 Literature as data: quantitative approaches to poetry, drama and prose (3 ECTS) (in English)
  • FLGR.05.341 Digital Humanities and Cultural Studies (3 ECTS) (in Russian)
  • FLFL.00.009 Basics of Quantitative Data Analysis for the Humanities with R (3 ECTS) (in Estonian)
  • HVEE.04.007 Analyzing Text Corpora (3 ECTS) (in Estonian)
  • HVEE.01.006 Processing and Analyzing Textual Data in the Humanities (3 ECTS) (in Estonian)

 

In addition to semester long courses there will be: 

 

Master Class in Quantitative Linguistics

Time: 04.-08.03.2019

Registration deadline: 25.02.2019

More info: sisu.ut.ee/baayenfest

The course is taught by Professor R. Harald Baayen from the University of Tübingen and by postdoctoral researcher Ilmari Ivaska from the University of Bologna.