DIGITAL ICONOGRAPHY AND ICONOLOGY STUDIES
- Academic year
- 2026/2027 Syllabus of previous years
- Official course title
- DIGITAL ICONOGRAPHY AND ICONOLOGY STUDIES
- Course code
- FM0504 (AF:738205 AR:377745)
- Teaching language
- English
- Modality
- On campus classes
- ECTS credits
- 6
- Degree level
- Master's Degree Programme (DM270)
- Academic Discipline
- ARTE-01/D
- Period
- 2nd Semester
- Course year
- 2
- Where
- VENEZIA
Contribution of the course to the overall degree programme goals
Expected learning outcomes
Students will acquire the theoretical foundations of iconology and iconography, rooted in the method of Aby Warburg and the studies of Erwin Panofsky, as applied to the study of digital images. They will also develop a foundational knowledge of contemporary artistic practices shaped by the spread of digital visual culture, and will understand the principal distinctions between digital and digitised images, with specific reference to digital resources for art history.
Applying Knowledge and Understanding
Students will be able to identify the diverse modes of presentation of digital images within the online collections of museums, archives, and cultural institutions, and to understand the use of specific digital tools for different purposes of research, study, and communication. They will also be able to conduct iconographic research within online art collections and to distinguish the specific interfaces developed by Digital Art History projects to facilitate engagement with digitised works, texts, and documents.
Making Judgements
Students will be able to analyse digital platforms for the study of art history, identify their thematic specificities and emerging lines of research, and employ graphic tools for the presentation of projects or for critical analysis. They will further develop the ability to discuss their findings with appropriate linguistic precision and rigorous formal analysis.
Communication Skills
Students will be able to employ accurate and field-specific terminology, to present and communicate the outcomes of their work effectively, and to engage with peers and instructors in a respectful and constructive manner.
Pre-requirements
Contents
The first part of the course analyses the main art image databases developed within Digital Art History projects. Specific case studies will examine the diverse elements involved in image reading, descriptive metadata, thesauri, and classification standards, including ICONCLASS. The course will also address digitised images and the role of technologies in enhancing the perception and study of art history and museum collections. Art collections, digital archives, photographic archives, and Digital Art History projects will be analysed, with particular attention to the challenges and risks associated with the hyper-visualisation of artworks.
The second part of the course focuses on theories of image production relating to the era of mechanical reproduction and their development toward an image science, from photography to digital art. The course will examine the interpretation of visual culture through the means of artistic production, the evolving role of digital art archives in art-historical inquiry, and the contribution of artistic practices in revealing the ambiguities of contemporary digitised images.
Referral texts
H. Belting, An Anthropology of Images: Picture, Medium, Body, Princeton University Press, 2011 (Chapters from).
C. Bishop, Against Digital Art History, in «International Journal of digital Art History», 3 (2018), pp. 123-132.
J. Drucker, Is there a “Digital” Art History? in «Visual Resources. An international journal on images and their uses», 29 (2013), pp.5-13.
J. Drucker, The Digital Humanities Coursebook: An Introduction to Digital Methods for Research and Scholarship, London: Routledge 2021.
E. Huhtamo, Art in the Rear‐View Mirror. The Media‐Archaeological Tradition in Art, in C. C. Paul, Companion to Digital Art, Wiley Blackwell 2016.
E. Panofsky, Meaning in the Visual Arts. Papers in and on art History, Anchor Books edition,1955, https://monoskop.org/images/0/0c/Panofsky_Erwin_Meaning_in_the_Visual_Arts.pdf
V. Stoichita, The Pygmalion Effect. From Ovid To Hitchcock, The University of Chicago Press, 2008 (Chapters from).
W. Beshty, Th picture Industry. A provisional history of the Technical Image 1844-1918, Luma Arles, October 12, 2018-January 6, 2019 (Chapters from).
Assessment methods
The evaluation will take into account the following elements
- The scholarly quality of the critical essay on the project developed (30%);
- The theoretical depth of the topics (30%);
- The clarity and accuracy of the project presentation (30%);
- The level of interaction in the lectures, seminar activities, and conferences offered (10%)..
The exam program for non-attending students remains the same, but they must contact the teacher to agree on the topic to develop.
Type of exam
The lecturer has a duty to ensure that the rules regarding the authenticity and originality of exam tests and papers are respected. Therefore, if there is suspicion of irregular conduct, an additional assessment may be conducted, which could differ from the original exam description.
Grading scale
Grading will be based on the evaluation of the following knowledge, skills, and competencies:
Insufficient (≤17) – Limited knowledge. Inadequate to reflect and present ideas.
Sufficient (18-20) – Uncertain or partially reworked knowledge. Basic or adequate skills.
Fair (21-23) – Sufficient or fair knowledge, reworked with some uncertainties. Decent skills.
Good (24-26) – Correct or complete knowledge, confidently reworked. Good skills.
Distinct (27-28) – Complete and confident knowledge. Notable skills.
Excellent (29-30) – Extensive knowledge, independently reworked. Excellent skills.
Outstanding (30 with honors) – Broad and in-depth knowledge, independently reworked. Full mastery of the language.
Teaching methods
The texts covered and discussed in class, with any supporting tools, are provided by the teacher during the course and made available on the Moodle platform. These texts, collected in a list at the end of the course, are an integral part of the exam program.
Attendance strongly encouraged.
Further information
2030 Agenda for Sustainable Development Goals
This subject deals with topics related to the macro-area "Human capital, health, education" and contributes to the achievement of one or more goals of U. N. Agenda for Sustainable Development