Training for Higher Education
No prerequisites - in person - 1 to 5 days - English / French
Objectives
- Awareness of common errors: recognize typical mistakes in information analysis that often occur unintentionally within project management and teamwork contexts.
- Improved error Identification: utilize your understanding of data analysis to better identify these errors when they arise.
- Preventative techniques: employ straightforward methods rooted in scientific approaches to actively avoid these errors.
For who?
Bachelor students
Master students
PhD students
Postdocs
Capitalizing on my scientific skills in a managerial context
Project management and teamwork present various information-processing challenges, largely emerging from our natural tendency for irrational thinking. Since these challenges are inherently related to data processing, scientists possess hard skills and concepts that can serve as valuable resources for overcoming these difficulties in project development, teamwork, and team management.
This training program addresses these challenges, demonstrates the nature and ubiquity of related decision mistakes, and shows how to leverage scientific techniques to achieve managerial excellence. We present easy-to-implement approaches applicable to any scientific or industry environment. Furthermore, the program reinforces analytical knowledge by reviewing important data analysis concepts and their application to decision-making. By illustrating these concepts through everyday human experiences, the program helps participants develop a stronger understanding and usage of these techniques, even when addressing concrete scientific questions beyond project management and teamwork.
Finally, the program aims to demonstrate to scientists that they possess hard skills to enhance their managerial capacities in both academia and industry, enabling them to pursue successful managerial careers within and outside academia.
Pedagogy
Each aspect of project management and teamwork presented in this training is linked to an analytical principle that attendees might regularly use in their current occupation. This connection enables a better understanding of how these mistakes occur and how to prevent them efficiently.
All data analytics and scientific techniques discussed during the training session will be reviewed in a manner that does not require any expertise in their application.
Objectives
- Awareness of common errors: recognize typical mistakes in information analysis that often occur unintentionally within project management and teamwork contexts.
- Improved error Identification: utilize your new understanding of data analysis to better identify these errors when they arise.
- Preventative techniques: employ straightforward methods rooted in scientific approaches to actively avoid these errors.
For who?
Bachelor students
Master students
PhD students
Postdocs
Capitalizing on statistics and probability theory in a managerial context
Capitalizing on statistics and probability theory in a managerial context
This training program addresses these challenges, demonstrates the nature and ubiquity of related decision mistakes, and shows how to leverage techniques grounded in statistics and probability theory to achieve managerial excellence in all working environments. We introduce these concepts in a manner accessible to individuals with no background in mathematics. For this reason, in addition to transferring important managerial skills, the program constitutes a solid introduction to data analysis and its application to decision-making. By illustrating these concepts through everyday human experiences, the program helps participants develop a stronger understanding and usage of these techniques, even when addressing questions beyond project management and teamwork.
Pedagogy
Each aspect of project management and teamwork covered in this training is linked to an analytical principle that attendees can apply in their current occupations and beyond project development and teamwork.
These analytical concepts discussed during the training session will be reviewed in a manner that does not require any prior expertise for application.