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First semester exam schedules - Professional courses
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This page has been translated automatically The first semester exam schedules are available on this page. Please check back regularly. For the CFI and COCI programmes: assessment is based entirely on continuous assessment. For the DID and DDL programmes: assessment is based entirely on continuous assessment. For the TAL programme: Students subject to end-of-year assessment must contact the relevant teachers, copying in the TAL programme's academic office, well before the week of 16 December 2024, in order to confirm their attendance at the end-of-year exams and to find out about the assessment methods for each course.
First semester exam schedules - Master's degrees
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This page has been automatically translated The first semester exam schedules are available on this page. Please check back regularly. Master's TSI: assessment is based on continuous assessment. Exams will take place during the week of Monday 16 to Saturday 21 December 2024. Anthropology programme (Master's): there will be no exams during the January 2025 session. Contact your teachers. Orality programme (Master's): there will be no exams during the January 2025 session. Validations will be based on your academic record. Contact your teachers.
40 years of "Études chinoises" magazine
Evènement
Published on 26/11/2025
To mark the 40th anniversary of the journal "Études chinoises", the Association française d'études chinoises (AFEC) is pleased to invite you to a round-table discussion tracing its history, to be held on December 12, 2025 at 5:45 pm at Inalco, Amphi 2, 65 rue des Grands Moulins, 75013 Paris.
Murielle Fabre, AI expert for the Council of Europe, guest on the Multipolaire podcast
Actualité
Menu Vie de campus
Published on 01/12/2025
Murielle Fabre is an expert in artificial intelligence, ML/NLP and European technology policies. Trained as a researcher (Collège de France, Cornell), she now works at the Council of Europe and the AI & Society Institute (ENS-PSL). In this episode, she discusses the human, political and ethical challenges of AI: the dialogue between science, culture and technology, cognitive and linguistic sovereignty, the societal effects of automation and the conditions for responsible use of generative AI.