Introduction into Digital Humanities and Advanced Computer Literacy - JTB166

• Anglický název: Introduction into Digital Humanities and Advanced Computer Literacy
• Český název: Úvod do digitálních humanitních věd a pokročilé počítačové gramotnosti
• Zajišťuje: Katedra ruských a východoevropských studií (23-KRVS)
• Fakulta: Fakulta sociálních věd
• Platnost: od 2023
• Semestr: zimní
• E-Kredity: 6
• Způsob provedení zkoušky: zimní s.:
• Rozsah, examinace: zimní s.:1/1, Z [HT]
• Počet míst: neurčen / neurčen (15)
• Minimální obsazenost: neomezen
• 4EU+: ne
• Virtuální mobilita / počet míst pro virtuální mobilitu: ne
• Stav předmětu: vyučován
• Jazyk výuky: angličtina
• Způsob výuky: prezenční
• Způsob výuky: prezenční
• Poznámka: předmět je možno zapsat mimo plán; povolen pro zápis po webu; při zápisu přednost, je-li ve stud. plánu
• Garant: PhDr. Jiří Kocián, Ph.D.; Mgr. Klára Kosová; Mgr. Klára Smitková
• Třída: Courses not for incoming students
• Neslučitelnost : JTM078
• Záměnnost : JTM078
• Je neslučitelnost pro: JTM078
• Je záměnnost pro: JTM078

Anotace

Poslední úprava: PhDr. Jiří Kocián, Ph.D. (05.02.2024)

The usage of computer-aided analysis of textual sources has been a natural accompaniment of computer technology proliferation since the early 1950s. As computer software and hardware became widely accessible to even non-expert users, Digital Humanities (along with other analogical monikers) experienced rapid growth during the last 30 years. If we consider the ever-growing hardware capacity, digital shifts in all of the social sciences and humanities fields, and the all-encompassing interconnectivity of the internet age, it is only logical, that formerly niche-expertize has slowly turned into standard skill or even requirements for the research practice. The rapid development and spread of AI-assisted user and research performance only hastened and deepened the ever-growing pressure on the digitalization of academia. This course ameliorates this situation by offering low-threshold, entry-level access to knowledge and skillsets important for further and deeper exploration of the matter.

Cíl předmětu

Poslední úprava: Mgr. Klára Kosová (02.02.2024)

Students will acquire fundamental knowledge, skills, and orientation in Digital Humanities. They become familiar with the most important concepts, operations, and subfields of DH. This course serves as an introductory class for the certified program in AI in Digital Humanities and is therefore directly connected to the other parallel and following courses aimed at a detailed understanding of ML (NPFL 112, NPFL 142, NPFL 143).

 

Podmínky zakončení předmětu

Poslední úprava: Mgr. Klára Kosová (02.02.2024)

compulsory attendance 

minimum 50% points in part B) and C) each

A: 100-91 pts

B: 90-81 pts

C: 80-71 pts

D: 70-61 pts

E: 60-51 pts

F(failed): 50 pts or less

 

Literatura

Poslední úprava: PhDr. Jiří Kocián, Ph.D. (05.02.2024)

Recommended reading

Accelerating Social and Behavioral Science Through Ontology Development and Use | National Academies (n.d.). Available at: https://www.nationalacademies.org/our-work/accelerating-social-and-behavioral-science-through-ontology-development-and-use (accessed 9 October 2023).

Arnold T and Tilton L (2015) Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. Quantitative Methods in the Humanities and Social Sciences. Cham: Springer International Publishing. Available at: https://link.springer.com/10.1007/978-3-319-20702-5 (accessed 9 October 2023).

Greenwell BB& B (n.d.) Hands-On Machine Learning with R. Available at: https://bradleyboehmke.github.io/HOML/ (accessed 9 October 2023).

Krippendorff KH (2018) Content Analysis: An Introduction to Its Methodology. Fourth edition. Los Angeles: SAGE Publications, Inc.

Piotrowski M (2012) Natural Language Processing for Historical Texts. Synthesis Lectures on Human Language Technologies. Cham: Springer International Publishing. Available at: https://link.springer.com/10.1007/978-3-031-02146-6 (accessed 9 October 2023).

R for Data Science (2e) (n.d.). Available at: https://r4ds.hadley.nz/ (accessed 9 October 2023).

Ramírez AG, Mejía JM, Martin PV, et al. (2023) Digital Humanities, Corpus and Language Technology / Humanidades Digitales, Corpus y Tecnología Del Lenguaje. University of Groningen Press. Available at: https://books.ugp.rug.nl/index.php/ugp/catalog/book/128 (accessed 1 February 2024).

Silge EH and J (n.d.) Supervised Machine Learning for Text Analysis in R. Available at: https://smltar.com/ (accessed 9 October 2023).

Metody výuky

Poslední úprava: Mgr. Klára Kosová (02.02.2024)

This is a bloc course with six sessions every two weeks of the semester, physical presence is required.

 

Students complete individual tasks after each session and collaborate on a group project to produce a salient research design proposal by the end of the semester.

 

Požadavky ke zkoušce

Poslední úprava: PhDr. Jiří Kocián, Ph.D. (05.02.2024)

The final grade (100 points) comprises fulfilling three partial activities

A) active participation in classes (10 pts)

B) regular individual homework assignments (40 pts.)

C) groupwork research design (50pts)

Sylabus

Poslední úprava: PhDr. Jiří Kocián, Ph.D. (05.02.2024)

The course program is organized into six teaching sessions, each comprising two standard-length classes. Each session represents one consistent thematic/methodological bloc, split into conceptual parts, practical training, and an introduction to basic programming concepts. Each class is accompanied by a compulsory reading of (one or two journal articles) to represent best practices in research application and leads into an individual homework assignment for the off week.

1. Introduction to fundamentals of computational science and computer operation
variables

2. From sources to data - working with text and XML
data inputs and outputs

3. Processing images and sound
conditions, basics of computational logic

A. Midterm research design seminar

4. Databases and SQL filtering
loops and iterations

5. Qualitative coding as the basis of text analysis
data frames

6. GIS - Geographic information systems

Object-oriented programming

B. Final research design presentation

Vstupní požadavky

Poslední úprava: Mgr. Klára Kosová (02.02.2024)

The course is primarily for the students certified program in AI in Digital Humanities. Enrollment for other students is possible per individual consultations with the course teachers.