Research : Informatics
(MIRIN)
- Coefficient : 6^
- Hourly Volume: 136.5h (including 48.0h supervised)
- CM : 9h supervised
- Labo : 39h supervised (and 36h unsupervised)
- Out-of-schedule personal work : 52.5h
- Including project : 9h supervised and 31.5h unsupervised project
AATs Lists
Description
This module is structured around two complementary phases, designed to strengthen students’ IT skills and introduce them to the scientific approach applied to research.
Phase 1: Acquisition of subject-specific skills (6 days) The aim is to consolidate the theoretical and technical foundations in computer science, in order to facilitate students’ integration into the SIIA Master’s programme. Topics covered include advanced algorithms, distributed systems and networks, and heterogeneous environments.
Phase 2: Application of the scientific method (supervised project) This phase aims to enable students to: Understand the generation of new knowledge in computer science, Experience the scientific method in its entirety, from formulating a research question to evaluating the results.
Practical organisation The first part of the module is dedicated to a review of the subject’s fundamentals. The second part takes the form of a collaborative project (5 groups of 4 to 5 students), structured around activities reflecting the key stages of the scientific method: Development of a theoretical framework, Formulation and testing of hypotheses. Two guest lectures will enrich this phase by presenting current research, offering students an immersion in the contemporary challenges of the field.
Learning Outcomes AAv (AAv)
- AAv1 [heures: 15, B2, C2]: The student is able to select and implement appropriate algorithms to solve a specific problem.
- AAv2 [heures: 15, C2]: The student understands and is able to apply the basic principles of communication between tasks and heterogeneous systems.
- AAv3 [heures: 15, B1, B3]: The student is able to construct a solid theoretical framework to underpin a given research question.
- AAv4 [heures: 15, C3, D3]: The student is able to design and implement evaluations to test research hypotheses.
- AAv5 [heures: 15, F1, F2]: The student is able to present the work carried out orally and defend the methodological choices made.
Assessment methods
Average marks for continuous assessment, including written tests and oral assessments.
Keywords
Prerequisites
Algorithms