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Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry

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Title: Designing a Master Course on Architectures for Big Data: A Collaboration between University and Industry
Language: English
Authors: Condorelli, Andrea, Malchiodi, Dario
Source: Informatics in Education. 2022 21(4):635-653.
Availability: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
Peer Reviewed: Y
Page Count: 19
Publication Date: 2022
Document Type: Journal Articles
Reports - Research
Education Level: Higher Education
Postsecondary Education
Descriptors: School Business Relationship, Feedback (Response), Work Environment, Learning Activities, Student Attitudes, Education Work Relationship, Masters Programs, Graduate Students, Tests, Scores, Foreign Countries, Course Content, Teaching Methods, Instructional Design, Computer Science Education, Barriers, Workshops, Course Descriptions
Geographic Terms: Italy
ISSN: 1648-5831
2335-8971
Abstract: 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.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1373282
Database: ERIC
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  Data: Vilnius University Institute of Mathematics and Informatics, Lithuanian Academy of Sciences. Akademjos str. 4, Vilnius LT 08663 Lithuania. Tel: +37-5-21-09300; Fax: +37-5-27-29209; e-mail: info@mii.vu.lt; Web site: https://infedu.vu.lt/journal/INFEDU
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  Data: 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.
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    Subjects:
      – SubjectFull: School Business Relationship
        Type: general
      – SubjectFull: Feedback (Response)
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      – SubjectFull: Work Environment
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