Our Assessment Procedures
- Tutored application projects: examined by a professional expert, the candidate carries out research and completes a report presenting the development of a service built using Artificial Intelligence methods applied to a given data set. They present the technical choices made and the way in which the problems were solved.
- Written tests: these assess the concepts, theoretical frameworks, and knowledge of various tools (ecosystem, Artificial Intelligence, libraries, software, hardware)
- Thematic monograph: a complete and detailed study, based on a scientific paper on robustness, explicability, quantification of uncertainty, biases and ethics, anomaly detection, etc.
- Case studies: these are designed by the certifier and cover several skill sets based on real-life business cases.
- Practical work on Artificial Intelligence (AI) and Data Science (DS) tools: using AI and DS tools, students complete a practical project involving data extraction, storage, processing, and visualisation, either in operation or by simulation.
- Written professional thesis presented in oral defence: cross-competency block assessment, involving research and studies to model complex situations of use and devise innovative solutions based on Artificial Intelligence and Data Science;
- Oral presentations of projects and case studies.
Our Teaching Methods
Our teaching approach is based on a variety of learning methods designed to encourage the acquisition of skills in a dynamic and interactive way:
Our Teaching Approach
- Conferences
- Case studies
- Company visits
- Parallel sessions
- Personalised coaching
- Prototyping sessions
Our Teaching Frameworks
Our courses are taught in:
- Dedicated, fully-equipped classrooms
- Lecture amphitheatres
- Language laboratories
Access to Campus Resources
Our students also have free access to our university facilities and services, such as:
- Computer rooms
- Aerotheque (library and academic databases)
Educational Innovation at ISAE-SUPAERO
Educational innovation at ISAE-SUPAERO means:
- Teaching differently
- Developing different methods of learning
- Adapting to the diversity of our students
- Finding new ways to improve our teaching methods
We have made this one of our priorities, and in recent years we have continued to introduce innovative teaching methods into our programmes, particularly in terms of active learning and the use of new technologies.
Our physical and digital environment, consisting of an IT and communications infrastructure, a variety of online services to facilitate the implementation of teaching activities, and technical and pedagogical assistance, means that we can offer our learners a robust, high-performance environment.
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