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136010 UE Introduction to DH Tools and Methods (2021W)

5.00 ECTS (2.00 SWS), SPL 13 - Europäische und Vergleichende Sprach- und Literaturwissenschaft

Continuous assessment of course work

REMOTE

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from We 01.09.2021 09:00 to We 29.09.2021 23:59
Deregistration possible until Su 31.10.2021 23:59

Details

max. 25 participants

Language: English

Lecturers

Renato Rocha Souza

Classes (iCal) - next class is marked with N

Friday 08.10. 09:45 - 11:15 Digital
Friday 15.10. 09:45 - 11:15 Digital
Friday 22.10. 09:45 - 11:15 Digital
Friday 29.10. 09:45 - 11:15 Digital
Friday 05.11. 09:45 - 11:15 Digital
Friday 12.11. 09:45 - 11:15 Digital
Friday 19.11. 09:45 - 11:15 Digital
Friday 26.11. 09:45 - 11:15 Digital
Friday 03.12. 09:45 - 11:15 Digital
Friday 10.12. 09:45 - 11:15 Digital
Friday 17.12. 09:45 - 11:15 Digital
Friday 07.01. 09:45 - 11:15 Digital
Friday 14.01. 09:45 - 11:15 Digital
Friday 21.01. 09:45 - 11:15 Digital
Friday 28.01. 09:45 - 11:15 Digital

Information

Aims, contents and method of the course

The course is aimed at providing students with the skills necessary to understand the sheer potential of the digital methods for the humanities, using the Python Programming Language for a handful of common tasks in the domain. The course will present a broad overview of methods and tools, specifically covering the following: OCR & Natural Language Processing (NLP) Pipelines, Visualization & Dashboards, Spatial Analysis, Image Analysis, Social Network Analysis (SNA), Sentiment Analysis, SQL and NoSQL Database Management. The course approach is both theoretical and practical, with an intense load of hands-on exercises. The students are expected to have familiarity with digital environments, and previous practice with programming is desired, but not mandatory.

Assessment and permitted materials

Course evaluation will be a combination of in-class participation (30%), weekly homework assignments (40%), and the final project (30%).

Minimum requirements and assessment criteria

Attendance is required; regular participation is the key to completing the course; all students must provide their computing environment; homework assignments must be submitted on time (some can be completed later as a part of the final project, but this must be discussed with the instructor whenever the issue arises); the final project must be submitted on time.