Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry
We describe a collaboration between Marelli and Università degli Studi di Milano that allowed the latter to add a course on «Architectures for Big Data» in its Master programme of Computer Science, with the aim of providing a teaching approach characterized by an intertwined exposition of discipline...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Vilnius University
2022-12-01
|
| Series: | Informatics in Education |
| Subjects: | |
| Online Access: | https://infedu.vu.lt/doi/10.15388/infedu.2022.26 |
| _version_ | 1811197254113951744 |
|---|---|
| author | Andrea CONDORELLI Condorelli Dario Malchiodi |
| author_facet | Andrea CONDORELLI Condorelli Dario Malchiodi |
| author_sort | Andrea CONDORELLI Condorelli |
| collection | DOAJ |
| description | We describe a collaboration between Marelli and Università degli Studi di Milano that allowed the latter to add a course on «Architectures for Big Data» in its Master programme of Computer Science, with the aim of providing a teaching approach characterized by an intertwined exposition of discipline, methodology and practical tools. We were motivated by the need of filling, at least in part, the gap between the expectation of employers and the competences acquired by students. Indeed, several big-data-related tools and patterns of widespread use in working environments are seldom taught in the academic context. The course also allowed to expose students to company-related processes and topics. So far, the course has been taught for two editions, and a third one is currently ongoing. Using both a quantitative and a qualitative approach, we show that students appreciated this new form of learning activities, in terms of enrollments, exam marks, and activated external theses. We also exploited the received feedback in order to slightly modify the content and the structure of the course. |
| first_indexed | 2024-04-12T01:11:12Z |
| format | Article |
| id | doaj.art-93d4118c49aa4835abb6cb9136be27c0 |
| institution | Directory Open Access Journal |
| issn | 1648-5831 2335-8971 |
| language | English |
| last_indexed | 2024-04-12T01:11:12Z |
| publishDate | 2022-12-01 |
| publisher | Vilnius University |
| record_format | Article |
| series | Informatics in Education |
| spelling | doaj.art-93d4118c49aa4835abb6cb9136be27c02022-12-22T03:54:05ZengVilnius UniversityInformatics in Education1648-58312335-89712022-12-0121463565310.15388/infedu.2022.26Designing a Master Course on Architectures for Big Data: A Collaboration between University and IndustryAndrea CONDORELLI Condorelli0Dario Malchiodi1Viale Aldo Borletti 61/63 Milano, Marelli, ItalyVia Celoria 18 Milano, Dipartimento di Informatica, Università degli Studi di Milano, ItalyWe describe a collaboration between Marelli and Università degli Studi di Milano that allowed the latter to add a course on «Architectures for Big Data» in its Master programme of Computer Science, with the aim of providing a teaching approach characterized by an intertwined exposition of discipline, methodology and practical tools. We were motivated by the need of filling, at least in part, the gap between the expectation of employers and the competences acquired by students. Indeed, several big-data-related tools and patterns of widespread use in working environments are seldom taught in the academic context. The course also allowed to expose students to company-related processes and topics. So far, the course has been taught for two editions, and a third one is currently ongoing. Using both a quantitative and a qualitative approach, we show that students appreciated this new form of learning activities, in terms of enrollments, exam marks, and activated external theses. We also exploited the received feedback in order to slightly modify the content and the structure of the course.https://infedu.vu.lt/doi/10.15388/infedu.2022.26industry-academia collaborationcomputing educationbig data architectures |
| spellingShingle | Andrea CONDORELLI Condorelli Dario Malchiodi Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry Informatics in Education industry-academia collaboration computing education big data architectures |
| title | Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry |
| title_full | Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry |
| title_fullStr | Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry |
| title_full_unstemmed | Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry |
| title_short | Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry |
| title_sort | designing a master course on architectures for big data a collaboration between university and industry |
| topic | industry-academia collaboration computing education big data architectures |
| url | https://infedu.vu.lt/doi/10.15388/infedu.2022.26 |
| work_keys_str_mv | AT andreacondorellicondorelli designingamastercourseonarchitecturesforbigdataacollaborationbetweenuniversityandindustry AT dariomalchiodi designingamastercourseonarchitecturesforbigdataacollaborationbetweenuniversityandindustry |