Teacher(s)
Language
French
Main themes
The theoretical course covers the main concepts of computing and digital technology, and examines the challenges posed by digital technology in the humanities and social sciences. It specifically addresses the following aspects:
- Introduction to hardware architecture and the main categories of computer software;
- Presentation of the main families of computer techniques and tools useful for data processing in the humanities and social sciences
- Main concepts and issues relating to data formatting and representation
- Elements of networks and information circulation, including issues related to digital identity.
Learning outcomes
At the end of this learning unit, the student is able to : | |
1 | Understand and analyzing sources:
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2 | Become autonomous and responsible in your training:
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3 | Learning outcomes specific to the teaching unit:
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Content
The course "Digital Culture in the Humanities and Social Sciences" aims to raise students' awareness of digital culture in relation to the disciplines taught in FIAL: mainly history, art history and archaeology, literature, and languages.
During these classes, the focus will be on:
During these classes, the focus will be on:
- Introducing students to the functions and concepts of computer science and the challenges (technical, legal, social) posed by digital technology, both in general and within their specific disciplines;
- Familiarizing them with basic office software;
- Exploring the possibilities offered by digital technology for documentary research and information processing in their respective fields;
- Understanding the challenges and technical foundations of emerging digital tools, such as AI.
Teaching methods
- Theoretical course
- Practical sessions in the information technology pool;
Evaluation methods
The final mark (/20) will be distributed as follows:
- theoretical section: 10 points (written exam)
Generative artificial intelligence (AI) must be used responsibly and in accordance with academic and scientific integrity practices. Scientific integrity requires citing one's sources; therefore, the use of AI must always be disclosed. The use of artificial intelligence for tasks where it is explicitly prohibited will be considered a case of cheating.
- theoretical section: 10 points (written exam)
- January session: Continuous assessment (in-class test)
- Other sessions: written exam during the sessions
- January session: Continuous assessment (tests, assignment)
- Other sessions: exam at the computer workstation, assignment
Generative artificial intelligence (AI) must be used responsibly and in accordance with academic and scientific integrity practices. Scientific integrity requires citing one's sources; therefore, the use of AI must always be disclosed. The use of artificial intelligence for tasks where it is explicitly prohibited will be considered a case of cheating.
Other information
Nil.
Faculty or entity