- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Digital Transformation: the world beyond AI 4003-DTAI-ERASMUS
We are going to analyse the different types of digital transformation and see how they impact the different business sectors. We're going to integrate the paradigm shift brought about by the arrival of generative AI to try and imagine the future of the different businesses. To understand digital transformation, we will use a framework built around the following variables: Customer, Data, Innovation Platforms, Follow up.
Structure of the course :
What is digital transformation ?
A brief history of the Internet
AI : what it is and how to take profit of it – How to use ChatGPT efficiently (a method will be given)
Transformation
Coverage
Examples
Beginning to define the value proposition
dStrategies for adaptation
How to identify needs and prepare a transformation plan
A framework for transformation : a. Customer b. Data c. Innovation d. Platforms e. Strategic models and. KPIS
How to organise and follow up a transformation project
What you need to know about technology
how to organise change management
Type of course
Mode
Course coordinators
Learning outcomes
At the end of the course, students should be able to understand all the dimensions of digital transformation, and identify the needs and gaps in current transformations. They will be able to identify the different types of transformation and have a global view of the technologies used today.
They should be able to understand the impact of AI on their own future.
Assessment criteria
Students will work in small groups (3 people, 4 maximum) on a topic proposed in the first session. During the course, they will have moments dedicated to this work through questions that they will have to answer. These questions will be presented during the course and will be closely linked to the subjects covered during the course.
The last session will be dedicated to the presentation of the results by the different groups. (power point support + oral presentation, 15 to 20 min).
Classe attendance, presentation of the chosen use case and in-class activity and involvement in the use case.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Inter-faculty Studies in Bioinformatics and Systems Biology
- Bachelor's degree, first cycle programme, Computer Science
- Bachelor's degree, first cycle programme, Mathematics
- Master's degree, second cycle programme, Bioinformatics and Systems Biology
- Master's degree, second cycle programme, Computer Science
- Master's degree, second cycle programme, Mathematics
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: