Emerging Technologies for Smart Management
- UE code ELOIM430
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Schedule
30Quarter 2
- ECTS Credits 5
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Language
French
- Teacher Clarinval Antoine
At the end of the course, students should:
Be able to concisely showcase a technology or the application of a technology
Technologies are having an important impact on our society. This includes an impact on the professional activities of workers at all levels. As future managers, the students need to be able to have a critical stand on the implementation of a technology in a company and its economic, social, and environmental impacts. The goal of the Emerging Technologies for Smart Management course is to prepare students by introducing them to a large selection of technologies and encouraging them to research and criticize these technologies.
The course is structured around 7 technologies that have applications in business: (1) virtual and augmented reality, (2) tools for collaborative work and prototyping, (3) artificial intelligence, (4) robots and drones, (5) Internet of Things, (6) digital twins, and (7) cloud computing. Each technology is the topic of one course and is discussed through an ex-cathedra presentation covering technical aspects and limitations of the technology, a presentation of existing business applications with Q/A by a group of students, and if appropriate and possible, a demonstration of the technology by the professor or an external speaker / an interactive visit of a lab working with the technology. The last course is dedicated to a poster session where students groups will present a poster showcasing a technology or a business application of a technology of their choosing.
February 4: Introduction
February 11: Technology 1 - Augmented and virtual reality
February 18: Technology 2 - Collaborative work and prototyping
February 25: Visit @ TRAKK fablab
March 4: Technology 3 - Artificial intelligence
March 11: Technology 4 - Robots and drones
March 18: Technology acceptance and IS success factors
March 25: Technology 5 - Internet of Things
April 1: Activity - IoT development @Technobel
April 22: Technology 6 - Digital twins
April 29: Technology 7 - Cloud computing
May 6: Poster session and discussion
The course grade is based on the following:
References specific to each session will be included in the course material
Training | Study programme | Block | Credits | Mandatory |
---|---|---|---|---|
Master 120 en ingénieur de gestion, à finalité spécialisée en Analytics & Digital Business | Standard | 0 | 5 | |
Master 60 en sciences de gestion | Standard | 0 | 5 | |
Master 120 en sciences de gestion, à finalité didactique | Standard | 0 | 5 | |
Master 120 en sciences de gestion, à finalité spécialisée en Business Analysis & Integration | Standard | 0 | 5 | |
Master 120 en ingénieur de gestion, à finalité spécialisée en data science | Standard | 0 | 5 | |
Master 120 en ingénieur de gestion, à finalité spécialisée en Analytics & Digital Business | Standard | 1 | 5 | |
Master 60 en sciences de gestion | Standard | 1 | 5 | |
Master 120 en sciences de gestion, à finalité didactique | Standard | 1 | 5 | |
Master 120 en sciences de gestion, à finalité spécialisée en Business Analysis & Integration | Standard | 1 | 5 | |
Master 120 en ingénieur de gestion, à finalité spécialisée en data science | Standard | 1 | 5 | |
Master 120 en sciences de gestion, à finalité didactique | Standard | 2 | 5 |