ADVANCED APPLICATIONS OF COMPUTER SCIENCE FOR CULTURAL HERITAGE

Academic year
2020/2021 Syllabus of previous years
Official course title
ADVANCED APPLICATIONS OF COMPUTER SCIENCE FOR CULTURAL HERITAGE
Course code
CM0579 (AF:338507 AR:179586)
Modality
Blended (on campus and online classes)
ECTS credits
6
Degree level
Master's Degree Programme (DM270)
Educational sector code
INF/01
Period
1st Semester
Course year
1
Where
VENEZIA
Moodle
Go to Moodle page
The course aims at providing an overview of quantitative methods and data analysis techniques for cultural heritage.
At the end of the course the student will be able to identify and apply quantitative methods for the analysis of complex and unstructured data by means of the R language.
Basic computing knowledge (basic functions of the operating system, web browsing, e-mail, Office working suites, search engines).
- Cultural Content in the Digital Age
- Introduction to the R language
- Continuous and Categorical Data
- Multivariate Analysis
- Advanced Graphics
- Networks
- Geospatial Data
- Image Data
- Natural Language Processing
- Text Analysis

(This outline may be subject to change.)
- Slides and lecture notes.
- ARNOLD, Taylor; TILTON, Lauren. Humanities data in R. Exploring networks, geospatial data, images, and text. Cham, Switzerland: Springer, 2015
- Alfredo M. Ronchi. eCulture: Cultural Content in the Digital Age. Springer-Verlag Berlin Heidelberg, 2009
The final exam (oral) consists of theoretical questions about the course content, and of the presentation of a project previously agreed with the instructor.
The course aims at providing students with a solid base of key concepts for the analysis of data (e.g., texts, images) in the field of cultural heritage.
The course will be blend and include 24 hours of frontal classes, and 24 hours of online classes.
Online exercises and/or projects will allow students, as a group or individually, to apply and experiment what learned during frontal classes.
English
oral
Definitive programme.
Last update of the programme: 31/08/2020