- Docente: Gustavo Marfia
- Credits: 6
- SSD: INF/01
- Language: English
- Teaching Mode: Traditional lectures
- Campus: Rimini
- Corso: Second cycle degree programme (LM) in Fashion Studies (cod. 6059)
Learning outcomes
At the end of the Course the student will have the knowledge necessary to apply specific Data Science techniques to fashion e commerce. Specifically, the student will be able to identify scenarios where these technologies have a high potential for use and to adopt them in the design of advanced e commerce solutions.
Course contents
The course focuses on the increasing potential and use of data science in the Fashion System (FS). The content that will be presented during the course is organized as follows:
- Presentation and discussion of representative use cases related to the adoption of data science techniques in the FS;
- Understanding the fundamentals of a data science workflow: data sources, data understanding, data preparation, modeling, evaluation and deployment.
Readings/Bibliography
Slides and handouts provided by the instructor.
Teaching methods
Lectures and lab hours.
Assessment methods
Students will be asked to design an own project (individual or groups) from idea, via implementation, testing, evaluation, demonstration, to documentation. No coding skills will be required to complete the project.
Teaching tools
Students will be able to utilize the AR/VR infrastructure available at the VARLAB.
Office hours
See the website of Gustavo Marfia