Course Details

Course Name
Digital Humanities
Course Type
Master Programme
Institution
Friedrich-Alexander-Universität Erlangen-Nürnberg
Department
Department of Media Studies and Art History / Department Computer Science
Information
https://www.izdigital.fau.de/studium/
Curriculum
https://www.izdigital.fau.de/studium/ma-studiengang/
Status
record actively maintained
Course Language
German
Start Date
2020-10-15
recurring
ECTS
120
Lecturer
Jacqueline Klusik-Eckert
PID
Disciplines: Archaeology, Arts and Cultural Studies, Computer Science, History, Human Language Technologies, Legal Studies, Linguistics and Language Studies, Media and Communication Studies, Theory and Methodology of DH
Techniques: Cluster Analysis, Collocation Analysis, Concordancing, Gamification, Georeferencing, Information Retrieval, Linked Open Data, Machine Learning, Mapping, Named Entity Recognition, Pattern Recognition, Photography, Preservation Metadata, Principal Component Analysis, Scanning, Searching, Sentiment Analysis, Topic Modeling, Versioning, Web Crawling, Text Mining
Objects: Artifacts, BibliographicListings, Computers, Curricula, DigitalHumanities, Data, Images, Images(3D), Language, Metadata, Multimedia, Multimodal, Projects, Research, Video, Visualization
Access Requirements
In order to be admitted to the Master's degree programme in Digital Humanities, students must have completed a subject-specific or subject-related undergraduate degree. A subject-specific degree is a Bachelor's degree in either Digital Humanities and Social Sciences, in Digital Humanities, or in Digital Social Sciences. Applicants with a subject-specific degree graded 2.50 or above shall be admitted directly to the Master's degree programme. Applicants with an overall grade of 2.51 to 3.75 shall be admitted after successfully completing a selection interview. Other Bachelor's degrees shall be recognised as being subject-related provided they include a minimum of 25 ECTS credits in computer science and 25 ECTS credits in the humanities or social sciences. In this case, applicants have to successfully complete a selection interview and have a total grade no lower than 3.75. Detailed information on the admission requirements can be found in the degree programme and examination regulations for the MA Digital Humanities and the General Examination Regulations for the Bachelor's and Master's Degree Programmes at the Faculty of Humanities, Social Sciences, and Theology at FAU. Proof of language proficiency Applicants have to prove English skills at level B2 of the Common European Framework of Reference for Languages, unless their undergraduate degree was taken in English. Proof of language proficiency can be submitted up until the start of the third semester. If applicants have not completed a degree or their final school leaving examination qualifying for university entrance in German, they must prove that they are proficient in German, at least to level DSH2.
Description
The Master's degree programme in Digital Humanities at FAU is an interdisciplinary degree programme taught partly in English. It covers content in digital humanities and also gives students the opportunity to develop individual areas of specialisation. Areas of research from the humanities are closely linked to computer-aided analysis methods, providing students with both practical and research-based training. The strongly technical and computer science-oriented curriculum covers practical processes from the field of computer science such as pattern recognition, visual computing, computer vision and databases for researching cultural heritage. The degree programme focuses on four main topics: - Collecting data - Visualising data - Analysing and understanding data - Human-machine interaction As well as investigating these topics, students gain a detailed insight into media ethics and IT law. Students can tailor their studies to suit their interests by choosing from a wide range of compulsory elective subjects relating to ongoing research projects. A project module prepares students to carry out their own independent research in various occupational fields. The combination of a thorough grounding in computer science together with modules in applied digital humanities ensure that students acquire both theoretical and practical skills, as well as an ability to take a critical approach and communicate their ideas effectively.
Keywords
Disciplines: Archaeology, Arts and Cultural Studies, Computer Science, History, Human Language Technologies, Legal Studies, Linguistics and Language Studies, Media and Communication Studies, Theory and Methodology of DH
Techniques: Cluster Analysis, Collocation Analysis, Concordancing, Gamification, Georeferencing, Information Retrieval, Linked Open Data, Machine Learning, Mapping, Named Entity Recognition, Pattern Recognition, Photography, Preservation Metadata, Principal Component Analysis, Scanning, Searching, Sentiment Analysis, Topic Modeling, Versioning, Web Crawling, Text Mining
Objects: Artifacts, BibliographicListings, Computers, Curricula, DigitalHumanities, Data, Images, Images(3D), Language, Metadata, Multimedia, Multimodal, Projects, Research, Video, Visualization