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

 
   
  HVEE.04.007 Analysing Text Corpora (3 ECTS)
  HVHV.00.001 Applying GIS in the Humanities (3 ECTS)
  FLFL.00.009 Basics of Quantitative Data Analysis for the Humanities with R (3 ECTS)
  LTAT.01.007 Computational Modelling of Literary Texts (6 ECTS)
  HVEE.00.016 Data Science and Digital Humanities (6 ECTS)
  HVAJ.02.003 Databases of History (3 ECTS)
  FLAJ.02.137 Digital Archives and Records Management (3 ECTS)
  HVHV.00.007 From Paper to Computer (3 ECTS)
  HVHV.00.002 Introduction to Digital Humanities (3 ECTS) (in English)
  MTAT.03.236 Introduction to Programming (3 ECTS) (in English)
  MTAT.03.256 Introduction to Programming II (3 ECTS) (in English)
  HVEE.04.006 Introduction to R and Data Structures (3 ECTS)
  HVEE.04.004 Processing Estonian Language in Python (6 ECTS)

 

 

2020/21 autumn semester courses:

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

The course is taught by Maarja-Liisa Pilvik and Andres Kimber.

During the course, the students get acquainted with the possibilities of applying spatial data in the humanities using open-source applications and software (QGIS). The course will be taught mostly through practical assignments.

The course will take place on Mondays (12:15) and Thursdays (14:15) 01.10.-17.12.2020 in Lossi 3-406.

HVEE.00.016 Data Science and Digital Humanities (6 ECTS)

This course is taught by Peeter Tinits.

The course provides an overview of some of the current issues in digital humanities focussed on three aspects: 1) high-impact research in digital humanities; 2) locally relevant datasets, their accessibility and opportunities; 3) constructing meaningful research in interdisciplinary collaboration. The course is attended by students with a humanities and data science background and will combine expertise from both sides to gain a meaningful and practical foundation for digital humanities research.

The course is taking place on Tuesdays 14.15-16.00 on weeks 1-13, 15, 16 and Fridays 14.15-16.00 on weeks 1-16 in Jakobi 2-428.

HVHV.00.002 Introduction to Digital Humanities (3 ECTS)

This course is taught by Artjoms Šela and Antonina Puchkovskaya.

Digital environment rapidly changed the traditional framework in the studies of culture and literature. It could be new ways of storing and representing cultural data or understanding the nature of a digital document; an automated text analysis or computer modeling of complex cultural systems under the emerging data-sensitive theories (as the theory of cultural evolution). No doubt the "digital" became a new norm with blurry borders & elusive definition.
The course is planned to provide students with a roadmap in this essentially trans-disciplinary world, that jumps between editorial theories, geographic information systems, computational linguistics, media studies and network science. Far from being exhaustive, this course will overview major fields, approaches and ideas in DH while paying slightly more attention to historical cultural data & text analysis.

The course is taking place on Tuesdays 12.15-14.00 and Fridays 14.15-18.00 on weeks 3, 7, 10, 13, 15 in Lossi 3-406.

MTAT.03.236 Introduction to Programming (3 ECTS) (in English)

This course is taught by Marina Lepp, Svetlana Golovko, Reelika Suviste or Priit Paluoja.

Algorithms and programs. Representations of algorithms, flow-charts. Branching algorithms. Loops. Sub-algorithms. Developing algorithms for given text-based problems. Program structure. Names. Variables. Operations. Expressions.
Boolean expressions, comparisons. Conditional statements. Loop statements. Arrays. Sub-programs.

The course is taking place on Fridays on weeks 2-10.

MTAT.03.256 Introduction to Programming II (3 ECTS) (in English)

This course is taught by Marina Lepp and Priit Paluoja.

Algorithms and programs. Representations of algorithms, flow-charts. Branching algorithms. Loops. Sub-algorithm. Refining algorithms for given text-based problems. Number systems. Bit, byte. Types. Program structure. Names. Variables. Operations. Expressions. Text output. Boolean expressions, comparing. Methods, description, return of value, invoke. Conditional statement. Loop statement. One-dimensional arrays. Array scan. Array return. Nested loops. String processing. Input and output. Data exchange with files. Screen graphics. Overview of different programming languages. Main phases of software development.

The course is taking place on weeks 11-16.

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

This course is taught by Pärtel Lippus.

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 is taking place on Mondays 10.15-11.45 on weeks 5-11 in Lossi 3-406.

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

This course is taught by Siim Orasmaa and Dage Särg.

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 12.15-13.45 on weeks 1-16 in Lossi 3-406.

HVEE.04.008 Course in Digital Humanities (3 ECTS) (in English) (not in the module)

This course is taught by guest lecturer Joshua Wilbur.

Digital Data in the Humanities

Technological advances in computational methods should be accessible to humanities researchers, not only to the hard sciences and tech start-ups. This course provides an overview of ways in which humanities scholars can use their computers to work with their data that go beyond simply word processing. We will look at a wide range of topics in order to provide a general introduction into what is possible and to expose students to these topics, so that they can then focus on those aspects relevant to their own research later on. Topics we will conver include: text manipulation, collaboration and versioning, the command line, basic scripting (shell, python), digitizing analog data, metadata, searching and regular expressions, dealing with non-textual data, storing and archiving digital data, data storage formats (xml, json, databases), data presentation formats (html, latex), as well as some basic statistical methods.

The course is taking place on Wednesdays 12:15-13:45 on weeks 2-16 in Lossi 3-406.

 

 

Previous semesters

2019/20 spring semester courses:

HVHV.00.015 Corpora in linguistic research (3 ECTS) (in English)

This course is taught by guest lecturer Joshua Wilbur.

Students are instructed how to come up with a feasible research question and how to get evidence and answers for their questions. The focus is on using corpora that are already available or compiling their own corpus/collection of texts. Issues that the course deals with include where to get the necessary data (including the selection of an adequate sample size, collecting spoken language data etc.) and which ethical and legal aspects need to be kept in mind (including getting permission from the Research Ethics Committee at Tartu University, GPDR, copy right issues etc.). We introduce different resources for natural language processing for Estonian and other languages in co-operation with the Centre of Estonian Language Resources (CLARIN). We make use of the open source corpus linguistic tools (e.g. AntConc, NotePad++, SketchEngine). In addition, we focus on the importance of statistics via linguistic examples and we introduce the basics of statistical analysis. The skill to understand and use the basic terminology of exploratory statistics is important to give a comprehensive and adequate overview of ones data.

The course is taking place on Thursdays 16:15–18:00 13.02.–14.05.2020 in Jakobi 2-438.

HVVK.14.014 Digital photography (3 ECTS) (in English)

This course is taught by Veiko Klemmer.

Typical case studies in photography. Camera settings, usage of light, frame composition, depth of space, textures, storytelling, working with subject matter etc.

The course is taking place on Fridays 14:15–16:00 weeks 24-31, 33-34, 36-39 in Uppsala 10-212.

HVVK.14.113 Classical animation (3 ECTS) (in English)

This course is taught by Svetlana Bogomolova.

Practical introduction to various analog animation techniques.

The course is taking place on Mondays 16:15–18:00 on weeks 24-25 in Uppsala 10 -210 and on weeks 27-34 in Uppsala 10-207.

SVUH.00.034 Introduction to internet studies (6 ECTS) (in English)

This course is taught by Maria Murumaa-Mengel, Andra Siibak and Marie-Luise Meier.

The course will cover the following sub-topics that are at the center of interdisciplinary internet studies and discussions. This course has a special emphasis on media and communication studies, but is heavily influenced by semiotics, economics, sociology, political science, information sciences, education, psychology and legal frameworks. We will take a look at the users and non-users of different contemporary technology, their digital literacies and skills and knowledge necessary for future work. One of the components of digital literacies - critical selection and evaluation of information - will get extra attention when covering the topic of so-called post-truth society and information overload. Additionally, the topics include power dynamics of different institutions, groups and individuals in new media and online spheres. Furthermore, this course will focus heavily on many different privacy issues that have risen in the information age.

The course will take place on Wednesdays 10.15-12.00 on weeks 24-39 in Lossi 36 - 215.

HVVK.14.128 Computer graphics in Photoshop (3 ECTS) (in Estonian and English)

This course is taught by Veiko Klemmer.

Photomanipulation and collage principles and workflow in Adobe Photoshop for practical creative work. (Also transfers to other open source softwares).

The course will take place on Fridays 12.15-14.00 on weeks 24-31, 33-34, 36-39 in Uppsala 10 - 210.

HVVK.14.051 Basics of digital painting (3 ECTS) (in Estonian and English)

This course is taught by Veiko Klemmer.

Introductory course in techniques of digital painting. Specific workflows in the context of creative illustration. Basic work methods in Adobe Photoshop.

The course will take place on Thursdays 18.15 - 20.00 on weeks 24-39 in Uppsala 10 - 210.

HVEE.01.006 Processing and analyzing textual data in the humanities (3 ECTS) (in Estonian)

This course is taught by Liina Lindström and Peeter Tinits.

During the course, tools and methods are taught that can be used in processing and analyzing textual data. Through the practical exercises the use of concordances, frequency lists, n-grams, collocations and keywords are introduced. In addition, questions and problems concerning Estonian data and varying data are introduced.

The course will take place on Mondays 14.15-16.00 on weeks 24, 25, 27-31 in Lossi 3 - 406 and on Wednesdays 14.-15.16.00 on weeks 24-28, 30 in Lossi 3 - 406.

HVEE.04.007 Analyzing text corpora (3 ECTS) (in Estonian)

This course is taught by Kadri Muischnek and Siim Orasmaa.

Course gives an overwiev of the main Estonian digital texts in humanities and their format, and introduces primary text processing methods.

The course will take place on Tuesdays 14.15-16.00 and Thursdays 10.15-12.00 on weeks 25-32 in Lossi 3 - 406.

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

This course is taught by Anu Lepp, Kadri Tooming and Liisi Taimre.

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 will take place on Thursdays 12.15-14.00 on weeks 24-27, 29-36 in Jakobi 2-217.

FLFL.00.009 Basics of quantitative data analysis for the humanities with R​​​​​​​ (3 ECTS) (in Estonian)

This course is taught by Maarja-Liisa Pilvik and Pärtel Lippus.

This is an introductory course in quantitative methods implemented in the programming language R . It is directed to students and scholars in humanities and social sciences, with a focus on linguistics research.
We provide an introduction to statistical modeling, with a focus on humanities, and in particular in linguistic research. We start by introducing conceptual background on general strategies on modeling and basics of statistical thinking. Then, we focus on the most relevant methods for quantitative analysis and modelling, namely regression, classification, and hypothesis testing. We also introduce more advanced (not meaning harder!), altough essential techniques such as multilevel models.

The course is supported by the (European Union) European Regional Development Fund (University of Tartu ASTRA project PER ASPERA).

The course will take place on Tuesdays and Wednesdays 10.15-12.00 on weeks 24.-26., 28.-32., 34.-35., 38. in Lossi 3-406.

HVHV.00.007​​​​​​​​​​​​​​ From paper to computer (3 ECTS) (in Estonian)

This course is taught by Meelis Friedenthal.

The aim of the course is to provide an overview of the possibilities of digitizing historic documents, and discuss methods of text and image identification.

The course will take place on Tuesdays 12.15-14.00 on weeks 24.-39. in Lossi 3-406.

HVVK.14.021​​​​​​​​​​​​​​​​​​​​​ Computer graphics (3 ECTS) (in Estonian)

This course is taught by Veiko Klemmer.

Applications of graphic design in everyday practice.

The course will take place on Sunday 10.00 - 18.00 on week 24, on Sunday 13.00 - 21.00 on week 36 and on Friday 20.00 - 21.30 on week 40 in Uppsala 10-210.

HVVK.14.130​​​​​​​​​​​​​​​​​​​​​​​​​​​​ Computer graphics - graphic design with freewares (3 ECTS) (in Estonian)

This course is taught by Veiko Klemmer.

Introduction to design principles and common technical workflows in Gimp, Inkscape and Rawtherapee.

The course will take place on Wednesdays 18.15-20.00 on weeks 24-39 in Uppsala 10-210.

HVVK.14.129​​​​​​​ Videography with freeware​​​​​​​ (3 ECTS) (in Estonian)

This course is taught by Veiko Klemmer.

Introduction to common workflows and principles of video makin, using freely available software such as Blender and DaVinci Resolve.

The course will take place on Tuesdays 16.15-18.00 on weeks 24-39 in Uppsala 10-210.

FLAJ.02.137 Digital archives and records management  (3 ECTS) (in Estonian)

This course is taught by Tarvo Kärberg.

During the course the complexity and versatility of digital archiving and electronic records management will be covered. Following topics will be discussed:
* theoretical and technological concepts;
* main principles of the domain;
* international standards and Estonian regulations;
* actual solutions.

The course will take place on Thursdays 18.15 - 20.00 on weeks 31-34 online.

2019/20 autumn semester courses:

  • 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.

  • 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.

  • 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.

  • 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.).

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.

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

  • 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.

Additional info: digihum.ut.ee/macroscopic_methods

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

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.

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.