FF:PLIN064 Introduction Digi Humanities - Course Information
PLIN064 Introduction to Digital Humanities
Faculty of ArtsAutumn 2024
- Extent and Intensity
- 0/2/0. 4 credit(s). Type of Completion: z (credit).
In-person direct teaching - Teacher(s)
- RNDr. Zuzana Nevěřilová, Ph.D. (lecturer)
Mgr. Hana Žižková, Ph.D. (lecturer) - Guaranteed by
- RNDr. Zuzana Nevěřilová, Ph.D.
Department of Czech Language – Faculty of Arts
Contact Person: Bc. Silvie Hulewicz, DiS.
Supplier department: Department of Machine Learning and Data Processing – Faculty of Informatics - Timetable
- Thu 8:00–9:40 G13, except Mon 18. 11. to Sun 24. 11.
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
The capacity limit for the course is 20 student(s).
Current registration and enrolment status: enrolled: 13/20, only registered: 0/20, only registered with preference (fields directly associated with the programme): 0/20 - fields of study / plans the course is directly associated with
- Digital Linguistics (programme FI, N-DL)
- Computational Linguistics (programme FF, B-PLIN_) (3)
- Computational Linguistics (programme FF, N-PLIN_) (3)
- Course objectives
- The aim of the course is to introduce digital humanities and to describe various aspects of digital content processing. The practical aims consist of introducing current data sources, annotation, preprocessing methods, software tools for data analysis and visualization, and evaluation methods.
- Learning outcomes
- At the end of the course, students will be able to:
- think about data from the computational point of view; - identify and propose appropriate methods for data processing; - understand the term metadata; - identify the need for data preprocessing; - compare various visualization methods; - propose an annotation scheme; - understand evaluation methods - Syllabus
- Introduction to DH.
- Digital content, digitization.
- Data and metadata. Data collection, data sources. Data science, visualization.
- Software tools for data processing: Unix shell, Python.
- Text corpora, annotation.
- Evaluation.
- Data dissemination.
- Literature
- recommended literature
- Julian Chambliss and Ellen Moll: Making Sense of Digital Humanities. Michigan State University. 2022. https://openbooks.lib.msu.edu/makingsensedh/
- not specified
- Anne Burdick, Johanna Drucker, Peter Lunenfeld, Todd Presner and Jeffrey Schnapp: Digital_Humanities. MIT Press. 2012
- Terras, M. M., Nyhan, J., & Vanhoutte, E. (2013). Defining Digital Humanities : A Reader. Farnham, Surrey, England: Routledge.
- Teaching methods
- seminars containing lecture and tutorials in computer room
- Assessment methods
- final (group) project
- Language of instruction
- Czech
- Further Comments
- Study Materials
The course is taught annually.
- Enrolment Statistics (recent)
- Permalink: https://is.muni.cz/course/phil/autumn2024/PLIN064