Formation Professionnelle et Certifiante
Aperçu du programme :
The MUST Workplace Effectiveness Program is a collection of courses aimed at developing effective teams where members think critically, creatively, and constructively. It starts with the fundamentals of written communication, then covers data-driven decision making, and finally, develops a Design Thinking mindset to create effective, human-centered solutions to any problem. With this certificate, students understand the customer need and perspective, generate solutions without inhibition, refrain from judging other members’ ideas, and are comfortable with “try/implement/deploy/feedback / revise” cycle as an effective and powerful way to achieve long-lasting successful solutions.
Students who successfully complete this MUST certification program shall be able to:
– Create compelling writing to inform or persuade others
– Are able to use the right tools to analyze data and make sound decisions based on data
– Work effectively in small and large teams
– Can interview a customer to gain their perspective
– Can participate in and/or conduct brainstorming sessions to generate solutions
– Can interview a customer to gain feedback on a proposed / implemented prototype solution
– Can generate revisions or totally new solutions in response to feedback.
Liste des cours :
- Persuasive writing: Written communication remains the most powerful and effective way to share information and proposed ideas and projects. It is the source of all new creations. If clear, logical, and convincing, it would lead to great accomplishments. If obscure and fragmented, it ends up as dust. Learn the basics of writing effectively, creatively, critically, and convincingly. Course supported by accompanying Coursera course. Cliquez ici pour plus de détails.
- Data-Driven Decision Making: An important part of professional life is making decisions. Decisions can have a large impact and can “make or break” a project or an organization. A large amount of data typically exists to help make decisions, but this requires expertise in the tools and techniques of data analysis, as well as awareness of the common risks and pitfalls of data interpretation, and the means and tools available to avoid them.
This course is in-person and is supported by accompanying Coursera courses. Click here for more details. - Design Thinking: Theory & Practice : “Design Thinking is a mindset towards problem solving, with human empathy at its core, and with a bias towards making, with a high tolerance for risk taking” – Turi McKinley. The process calls to be user-focused, developing an understanding of a user’s pain points, desires, and aspirations. Once that is understood, an idea generation process proceeds involving a multitude of viewpoints, where all ideas are considered viable and none is immediately shut down. Prototyping, testing, and refining complete the process.
In this training, students are introduced to the concepts of this powerful practice and are guided to work through a real-life example application to effectively use these concepts.
This course is in-person and is supported by accompanying Coursera courses. Cliquez ici pour plus de détails.
Détails du programme:
Dates | TBD |
Langue | French & English |
Coût | 2200 TND |
Dernier délai d’inscription | TBD |
Emplacement | MUST University Lac 3 |
Formateur(s) :
- TBD
Coordinateur:
Dr. N. S. Merchawi a obtenu son doctorat en génie industriel en 1994, après avoir obtenu une maîtrise et une licence en génie informatique de la Penn State University, aux États-Unis. Elle a ensuite occupé des postes de recherche et d'enseignement à l'Université de Windsor (Canada) et à l'Université Concordia (Canada). Elle a ensuite rejoint le monde du développement de logiciels dans des entreprises américaines, en tant qu'ingénieur logiciel principal, chef de produit, directeur du développement de logiciels et directeur principal du développement de logiciels. Elle a contribué au développement de logiciels sophistiqués pour la modélisation 3D, la simulation et l'optimisation des systèmes de fabrication, y compris la robotique industrielle, les machines à commande numérique et divers autres dispositifs et processus de fabrication programmables sophistiqués, utilisés par des entreprises de fabrication de classe mondiale telles que la compagnie d'aviation Boeing et les compagnies automobiles Toyota et Honda.