Seminar Algorithmentechnik -- Algorithmic Methods in the Humanities
- 12.05.16 Changes in the program: First presentations moved to 2.06. Additional meeting for presentations on 24.06 (Friday), which will take place at 9:45 in SR301 (usual time and place).
- Seminar meeting: Thursday 9:45 Uhr, SR301 (Informatikgebäude 50.34)
- Preliminary meeting: Thursday, 21.4. 9:45 Uhr, SR301 (Informatikgebäude 50.34)
- Credits: 4LP
- Modules: IN4INVSA and IN4INALGTS (resp. IW4INEAT, IW4INAADA, IW4INAALGOB)
- Registration: Via email to Dr. Tamara Mchedlidze (please include your „Matrikelnummer“). The number of participants is limited.
- Language: The seminar will be held in English
Digital humanities is an area of research at the intersection of computing and the disciplines of the humanities, e.g., history, philosophy, linguistics, literature, art, archaeology, music, as well as cultural and social sciences. Digital humanities scholars use computational methods to answer existing research questions in humanity sciences or to pioneer new approaches. The goal of the seminar is to get an overview of the algorithms that lie at the core of these computational methods.
At the first, preliminary meeting, the topics will be briefly presented and assigned to the participants. Afterwards each participant explores their topic using the given literature as a starting point. After a couple of weeks each participant gives a 5-minute short presentation on their topic. During the semester we will then have the main presentations on separate days. By the end of the semester and after a peer review phase, each participant has to hand in a written report of 12–15 pages in LaTeX. The overall grade depends on the main presentation (60%) and the written report (40%).
Please use LaTeX for composing the written report with this template: template.zip.
Schedule (subject to small changes)
|15.7.||Submission of the document|
|10.8.||Submission of the reviews|
|9.9.||Submission of the final document|
List of Topics
|Close and Distant Reading: humanities aspect||2.6||Nico||Dipl.-Inform. Benjamin Niedermann|
|Visualizations for Close Reading||2.6.||Nick||Dipl.-Inform. Benjamin Niedermann|
|Visualizations for Distant Reading||9.6.||Sophie||Dipl.-Inform. Benjamin Niedermann|
|Similarity of Notions||9.6.||Longfei||Dr. Tamara Mchedlidze|
|Text-variant graphs||16.6.||Guangping||Dr. Tamara Mchedlidze|
|Text Matching||16.6.||Moritz||Dr. Tamara Mchedlidze|
|Fundamentals of Machine Learning and Topic Recognition||23.6||Florian||Dr. Ignaz Rutter|
|Syntax Trees||23.6||Jan||Dr. Tamara Mchedlidze|
|Text based Topic Labeling||24.6||Chao||Michael Hamann, M.Sc.|
|Topic Labeling using DBPedia||24.6.||Germaine||Michael Hamann, M.Sc.|