Kurser

7,5 ECTS, 100% pace

Dates: 16 Oct (Week 42) - 27 Jan (Week 5)

The doctoral/advanced level course “Introduction to Cultural Analytics” (7.5 ECTS) is offered by the Department of ALM and Centre for Digital Humanities Uppsala (CDHU). The course is part of the Graduate School in Digital Humanities (DASH) and runs from 16 October 2025 to 27 January 2026. Course sessions will run remotely on Zoom and include one contact day at campus Engelska Parken (Uppsala University).

The course coordinator is Amanda Wasielewski (amanda.wasielewski@abm.uu.se). Please contact Amanda if you are interested in taking the course or would like to have more information. Registration closes 5 Oct.

Instructors: Marie Dubremetz (marie.dubremetz@abm.uu.se), Sushruth Badri (sushruth.badri@abm.uu.se), and Adam Maen (adam.maen@abm.uu.se)

The course is targeted towards PhD students in the humanities and social sciences who do not yet possess specific computational or technical skills, but who are interested to learn more for their future thesis work. The aim of the course is to introduce DH methods from a humanities and social sciences perspective. After completing the course, students are expected to have gained the following knowledge and skills: familiarity with computational text analysis methods and their relevance for humanities and social sciences tasks, knowledge about machine learning and its basic concepts (as well as such methods’ possibilities and limitations), practical skills to employ computational methods for text analysis by using existing software, and, by following and adapting basic programming scripts, the ability to critically reflect upon the results derived from computational methods (regarding ethical, statistical, and empirical/material-oriented concerns). The course consists of the following thematic areas: introduction to cultural analytics and Python, data collection (web scraping, APIs, social media), natural language processing and computational text analysis, and computer vision.

SCHEDULE OVERVIEW

BLOCK 1: Cultural Analytics in Theory and Practice

• 16 October 10:00-12:00: Lecture/Discussion: What is Cultural Analytics? Theory and Practice of Quantitative Methods in Cultural Studies (Amanda Wasielewski) (remote)
• 23 October 13:00-16:00: Workshop: Python crash course (Adam Maen) (remote)

BLOCK 2: On-site day: Web-scraping and Data collection (21 November)

Engelska Parken, Uppsala University, Room TBD

• Lecture/Discussion: Web-based data and its implications (Amanda Wasielewski) (1 hrs) 9:00-10:00
• Workshop: “Gathering data through web scraping and APIs” (Marie Dubremetz, CDHU) (2 hrs) 10:15-12:00
• Workshop: “Data collection and web scraping lab” (Marie Dubremetz) (3 hrs) 13:00-16:00

BLOCK 3: Analyzing Texts, Working with Language Models

• 1 December 10:00-12:00: Lecture/Discussion: Contextualizing large language models and NLP (Amanda Wasielewski) (remote)
• 2 December 10:00-12:00 : Lecture/Workshop: “Basics of NLP, core concepts and applied methods” (Marie Dubremetz) (remote)
• 9 December 10:00-12:00: Workshop: “Machine Learning with text lab” (Sushruth Badri) (remote)

BLOCK 4: Visual and multimedia material

• Tuesday, 13 January 10:00-12:00: Lecture/Workshop: Introduction to Computer Vision (Amanda Wasielewski) (remote)
• Thursday, 15 January 13:00-16:00: Workshop: OpenCV workshop (Adam Maen) (remote)

FINAL SEMINAR: presentations/discussion and final paper due, January 27, 10:00-12:00

7,5 ECTS, 100% pace

Dates: 29/9, 2/10, 16/10, 21/10, 28/10

The course will take place at campus Engelska Parken, Uppsala University at the Department of ALM.

The course is a master’s level course which includes advanced study elements tailored for PhD students that expand the course to a doctoral level course. It introduces and examines a selection of tools and methods used in the cross-disciplinary field of the digital humanities. Students will become familiar with and use digital methods and tools by participating in several practical sessions. The focus of this course is on sampling different DH methods: webscraping, text analysis, and basic computer vision. This course is suitable for those who would like more practical experience with DH methods.

If you are interested in taking the course or would like to have more information, please contact the course coordinator Amanda Wasielewski, amanda.wasielewski@abm.uu.se.

Kursen är en snabbkurs riktad till både personal och doktorander inom humaniora och samhällsvetenskap som är intresserade av att få en grundläggande förståelse för programmering och viss praktisk kunskap om hur man använder Python-språket. Under kursen kommer du också att lära dig hur du installerar och arbetar med JupyterLab som är en modern interaktiv utvecklingsmiljö för "literate coding" där du sömlöst kan kombinera skrivna forskningsanteckningar med kod och data. Detta flexibla gränssnitt tillåter användare att bearbeta arbetsflöden inom datavetenskap, vetenskaplig beräkning, beräkningsjournalistik och maskininlärning – men det är också lämpligt för datadriven forskning inom humaniora och samhällsvetenskap.

Mer information om kursen.

Denna kurs tar sig an den utveckling och de aktuella utmaningar och implikationer som digitalt kulturarv och digitaliseringen av kulturarvssamlingar innebär. Kursen leder till fördjupad kunskap om, samt erfarenhet av att använda, digitala metoder och verktyg i relation till kulturarvssamlingar. Vidare skapar kursen förutsättningar till reflektion över ett antal aspekter relaterade till materiellt och immateriellt kulturarv i en digital tidsålder.

Kursen erbjuds i samarbete med Umeå universitet. Läs mer om kursen och anmälan.

Höst 2023

• Introduktion till kulturanalys

Vår 2023

• Att rekonstruera/dekonstruera kulturarvet i den digitala tidsåldern

Höst 2022

• Introduktion till kulturanalys pdf, 94 kB.
• Python för nybörjare pdf, 106 kB.