Course Details

Course Name
Master Digital and computational humanities
Course Type
Master Programme
Institution
Université Paris Sciences et Lettres (PSL)
Department
École nationale des chartes, École des hautes études en sciences sociales, École normale supérieure, École pratique des hautes études
Information
http://www.chartes.psl.eu/fr/cursus/master-humanitesnumeriques
Curriculum
http://www.chartes.psl.eu/fr/cursus/master-humanitesnumeriques
Status
record actively maintained
Course Language
French
Start Date
2017-09-15
recurring
ECTS
120
Lecturer
Dr Jean-Baptiste Camps
PID
Disciplines: Computer Science, History, Linguistics and Language Studies, Literary and Philological Studies, Theory and Methodology of DH
Techniques: Cluster Analysis, Collocation Analysis, Distance Measures, Encoding, Information Retrieval, Linked Open Data, Machine Learning, Named Entity Recognition, Pattern Recognition, POS-Tagging, Principal Component Analysis, Searching, Sentiment Analysis, Sequence Alignment, Topic Modeling, Text Mining
Objects: DigitalHumanities, Data, File, Images, Language, Literature, Manuscript, Map, Metadata, NamedEntities, Persons, Research, SheetMusic, Software, Standards, Text, TextBearingObjects, Tools, Visualization
Access Requirements
Licence / Bachelor or equivalent in: - Humanities - History - Philology - Letters - Language and Linguistics - Mathematics applied to the humanities Candidates need to submit an application file and will be interviewed. More information: http://www.chartes.psl.eu/rubrique-admissions/master-humanites-numeriques
Description
PSL Research University has opened in 2017 a new master’s degree in Digital and Computational Humanities. It results from the collaboration of the École Nationale des Chartes, École Normale Supérieure, École Pratique des Hautes Études and École des Hautes Études en Sciences Sociales. This MA is aimed at students with a relevant bachelor’s degree (history, philology, literature,linguistics,...), training them in both the research questions specific to their discipline and in data mining and data analysis. It will give them the necessary skills to conduct their research autonomously in the field of digital and computational humanities.
Keywords
Disciplines: Computer Science, History, Linguistics and Language Studies, Literary and Philological Studies, Theory and Methodology of DH
Techniques: Cluster Analysis, Collocation Analysis, Distance Measures, Encoding, Information Retrieval, Linked Open Data, Machine Learning, Named Entity Recognition, Pattern Recognition, POS-Tagging, Principal Component Analysis, Searching, Sentiment Analysis, Sequence Alignment, Topic Modeling, Text Mining
Objects: DigitalHumanities, Data, File, Images, Language, Literature, Manuscript, Map, Metadata, NamedEntities, Persons, Research, SheetMusic, Software, Standards, Text, TextBearingObjects, Tools, Visualization