Addressing gender disparities in academic programs through multi-disciplinarity: a quantitative analysis
Nahum, Michael Fabio (A.A. 2023/2024) Addressing gender disparities in academic programs through multi-disciplinarity: a quantitative analysis. Tesi di Laurea in Big data and smart data analytics, Luiss Guido Carli, relatore Irene Finocchi, pp. 65. [Master's Degree Thesis]
Full text for this thesis not available from the repository.
Abstract/Index
Literature review. Methods. Datasets. Data analytics strategy. Results and discussion. Gender analysis. Computer science and related courses: does interdisciplinarity increase the number of women?
References
Bibliografia: pp. 61-63.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Data Science e Management (LM-91) |
| Chair: | Big data and smart data analytics |
| Thesis Supervisor: | Finocchi, Irene |
| Thesis Co-Supervisor: | Martino, Alessio |
| Academic Year: | 2023/2024 |
| Session: | Summer |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 08 Jan 2025 13:31 |
| Last Modified: | 08 Jan 2025 13:31 |
| URI: | https://tesi.luiss.it/id/eprint/40798 |
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