Code
MGFE RES 5201
Level
M2
Field
Recherche
Language
Anglais/English
ECTS Credits
2
Class hours
16
Total student load
40
Program Manager(s)
Department
- Technologies, Information et Management
Educational team
Introduction to the module
The Research Methods course is a training and support module for the completion of the final MSc thesis. The MSc thesis is an essential educational activity for completing the Master's level (BAC+5) program and the training cycle at IMT-BS. Through this module, students are encouraged to reflect on the purpose of the Master's thesis, to understand and apply the evaluation criteria for a MSc thesis, to review literature review methods, and to explore the principles of major methodological approaches to scientific research (positivism, empiricism, design science, etc.).
Learning objectives/Intended learning outcomes
- 1.2 - Use digital intelligence tools efficiently to support the societal, digital, energy and environmental transformations of organisations, ensuring their sustainable and responsible impact.
- 2.1 - Develop a critical awareness of highly specialised knowledge, some of which is at the forefront of knowledge, with a view to formulating innovative contributions to complex issues, in line with the strategic plan of organisations and with scientific
- 2.3 - Conduct a reflective and detached analysis that takes into account the challenges, issues and complexity of a request or situation in order to propose appropriate and/or innovative solutions in line with regulatory developments.
- 3.2 - Communicate effectively and appropriately for the purposes of training, knowledge transfer, skills development or innovation, in English and at least one other language, in a global and multicultural context.
- 5 - Develop a strategic and innovative vision, drawing on the potential of digital intelligence and on a favourable ecosystem
Rubrics
Ce cours contribue aux trois blocs de compétences suivants :
• Avoir la capacité de gérer l'incertitude et la complexité avec précision et rigueur
• Avoir accès à différents instruments transdisciplinaires de management
• Être ouvert (d’esprit) aux autres, au monde et à la recherche d’un impact sociétal positif
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This course contributes to the following three skill sets:
• The ability to manage uncertainty and complexity with precision and rigor
• Access to various transdisciplinary management tools
• Openness to others, the world, and the pursuit of a positive societal impact
Content : structure and schedule
Lecture 1:
- The MSc thesis: definition, objectives, and stakeholders
- Structuring the research thesis and evaluation and grading criteria
Practical Assignment 1:
- Group work on evaluating a thesis and oral presentation
Lecture 2:
- Literature review, main approaches, digital tools for bibliography management, and citation formats (APA, Springer, etc.)
Practical Assignment 2:
- Individual bibliographic research exercise including writing a text and citing references
Lecture 3:
- The principles of major methodological approaches to scientific research (positivism, empiricism, design science, etc.)
Practical Assignment 3:
- Individual exercise to formulate two research questions, one in the natural sciences, the other in Design Science
Lecture 4:
The Principles of Search Engine Optimization(SEO) and Introduction to Artificial Intelligence Optimization (AIO) and Generative Engine Optimization (GEO)
Practical Assignment 4:
- Keyword research and case study
Sustainable Development Goals
Dans ce cours, les étudiants sont sensibilisés à la démarche du numérique responsable via une formation à l'usage éthique et efficace des IA Génératives pour le mémoire de recherche.
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In this course, students are made aware of the responsible digital approach through training in the ethical and effective use of Generative AI for research papers.
Number of SDG's addressed among the 17
1
Learning delivery
synchrone
Pedagogical methods
Cours magistral
Travail pratique
Evaluation and grading system and catch up exams
Grading is based on four assessment grades obtained during the four practical assignment; the final grade is the average of these four grades.
Catch up exam via a single exam whose topic corresponds to one of the practical sessions.
Textbook Required and Suggested Readings
- Kalika, M., Mouricou, P., & Garreau, L. (2023). Le mémoire de master - 6e éd. Dunod.
- Wieringa, R. (2014). Design Science Methodology for Information Systems and Software Engineering. Springer. http://link.springer.com.bibproxy.tem-tsp.eu/book/10.1007/978-3-662-43839-8
- Wieringa, R. (2009). Design science as nested problem solving. Proceedings of the 4th Int. Conf. on Design Science Research in Inf. Syst. and Technology (DESRIST’09), DESRIST ’09, 8:1-8:12. https://doi.org/10.1145/1555619.1555630
- de Vaujany, F.-X. (2009). Les grandes approches théoriques du système d’information. Hermes Science Publications.
Keywords
Research method, research question, literature review, empirical investigation, design science, data search.
Prerequisites
RES 4001 ou RES4601 ou RES4401