Semestre 1 · 73079 · Corso di laurea magistrale in Informatica per la Data Science · 12CFU · EN
Docenti: Alessandro Artale, Anton Dignös
Ore didattica frontale: 80
Ore di laboratorio: 40
Obbligo di frequenza: Attendance is not compulsory but recommended. Non-attending students must contact the lecturer at the start of the course to agree on the modalities of the independent study. Exam modalities for non-attending students are the same as for attending students.
M1 – Data Management and Business Intelligence
There is no single textbook that covers the entire course. The course material is collected from various textbooks and research papers including the following ones (available as print and/or online versions through the unibz library):
M. Golfarelli and S. Rizzi. Data Warehouse Design: Modern Principles and Methodologies. McGraw-Hill, 2009.
R. Kimball and M. Ross. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. 3rd Edition, O'Reilly, 2013.
T. White. Hadoop: The Definitive Guide. 4th Edition, O'Reilly, 2015.
H. Karau et al. Learning Spark. O'Reilly, 2015.
M2 – Algorithms for Artificial Intelligence
Algorithm Design. Jon Kleinberg and Éva Tardos. Pearson, 2005.
Linear Programming and Network Flow. Mokhtar S. Bazaraa, John J. Jarvis and HanifD.Sherali. Wiley
Subject Librarian: David Gebhardi, David.Gebhardi@unibz.it
· Lecture Notes
· Additional sources will be announced during the course
Obiettivi di sviluppo sostenibile
Questa attività didattica contribuisce al raggiungimento dei seguenti Obiettivi di Sviluppo sostenibile.
Semestre 1 · 73079A · Corso di laurea magistrale in Informatica per la Data Science · 6CFU · EN
Docenti: Anton Dignös
Ore didattica frontale: 40
Ore di laboratorio: 20
There is no single textbook that covers the entire course. The course material is collected from various textbooks and research papers including the following ones (available as print and/or online versions through the unibz library):
M. Golfarelli and S. Rizzi. Data Warehouse Design: Modern Principles and Methodologies. McGraw-Hill, 2009.
R. Kimball and M. Ross. The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling. 3rd Edition, O'Reilly, 2013.
T. White. Hadoop: The Definitive Guide. 4th Edition, O'Reilly, 2015.
H. Karau et al. Learning Spark. O'Reilly, 2015.
Lecture Notes.
Additional sources will be announced during the course.
Semestre 1 · 73079B · Corso di laurea magistrale in Informatica per la Data Science · 6CFU · EN
Docenti: Alessandro Artale
Ore didattica frontale: 40
Ore di laboratorio: 20
Algorithm Design. Jon Kleinberg and Éva Tardos. Pearson, 2005.
Linear Programming and Network Flow. Mokhtar S. Bazaraa, John J. Jarvis and HanifD.Sherali. Wiley
Lecture Notes.
Additional sources will be announced during the course.