ECTS : 2
Language of instruction : French
Teaching hours : 20
Course content:
AIMS
This module develops students’ ability to analyse and evaluate business and economic arguments critically. It introduces the concepts of cognitive bias, flawed reasoning, and argument structure, and applies these to real business cases. Students will learn to identify weaknesses in arguments, propose clearer alternatives, and defend their reasoning in both written and spoken formats.
Skills to be acquired:
Knowledge
By the end of this module, students will have demonstrated:
1. Understanding of key concepts in critical thinking, including logical fallacies and cognitive biases.
2. Awareness of how biases and flawed reasoning affect business and economic decision-making.
3. Familiarity with structured approaches to building clear arguments.
Skills
By the end of this module, students will be able to:
4. Analyse written arguments and identify flaws, assumptions, and biases.
5. Evaluate the reliability of different types of evidence and data presentation.
6. Construct a coherent and logically structured written critique.
7. Defend their reasoning orally in response to questions.
Values and Attitudes
By the end of this module, students will have demonstrated:
8. Commitment to academic integrity in analysis and communication.
9. Willingness to engage constructively in critical debate and professional dialogue.
Mandatory prerequisites
B2+ English
Assessment:
Grading Criteria:
- Critical Case Analysis (40%)
- Capstone Critique (60%)
Weighting : 0.50
Bibliography, recommended reading:
Core Sources
Articles on professional communication, memos, and executive summaries.
The following sources are listed by topic for ease of use and alphabetically within each topic. It is not an exhaustive list but rather provides examples of books, websites, and podcasts that will be of use and/or interest in several different areas related to this module.
Supplementary and Secondary Sources
Academic & Professional Skills
Professional Writing & Workplace Communication
Data Commentary & Critical Reading