Year 2, Semester 3 (BD4SI) in Fall

European-track follows the semester 3 in Fall. For this semester, students mandatory follow the following courses:

Project (2 ECTS)
Abstract: In this course, students are involved in a project covering various aspects of the specialisation track.

Debates on Ethical Aspects of Big Data (2 ECTS)
Lecturer: Alberto Abello Gamazo
Abstract: In this course we debate the impact of new advances in Big Data on society, in particular wrt ethical issues. This course fosters the social competence of students by building on their acquired verbal communication skills to debate about concrete problems involving ethical issues in Big Data. The aim is to start developing their critical attitude and reflection. A written summary of their position is meant to train their writing skills.

Big Data Seminars (2 ECTS)
Lecturers: Oscar Romero Moral
Abstract: The students are introduced to recent trends in Big Data. Seminars are lectured by guest speakers, who present business cases, research topics, internships and master’s thesis subjects. Also, the three specialisations are presented and discussed with the students within the seminar’s umbrella. Students also perform state-of-the art research in one topic, which is presented and jointly evaluated by all participants.

Data Warehousing (6 ETCS)
Lecturer: Alberto Abello Gamazo
Abstract: This course introduces the concepts of database technology used in Business Intelligence. More precisely, this includes multidimensional databases and data warehouses, as well as ETL processes. Necessary techniques are presented for designing, implementing, exploiting, and maintaining data warehouses.

UPC10. Algorithmics, Data Structures and Databases (6 ETCS)
Lecturers: Jordi Delgado Pin, Oscar Romero Moral
Abstract: This is a reinforcement course that covers basic concepts of algorithms, data structures, and databases.

Statistical Modeling and Design of Experiment (6 ECTS)
Lecturer: Pau Fonseca Casas
Abstract: The aim of this course is to provide students with the tools needed to cope with complex systems using statistical modeling techniques. The students also learn different techniques of experimental design

Multivariate Analysis (6 ECTS)
Lecturers: Karina Gibert Oliveras, Tomas Aluja Banet
Abstract: The objective of MVA is to provide the students with the knowledge of the statistical concepts of multivariate data analysis and their basic methodologies, which constitute a core mainstream for Data Mining.

Non Awarded courses

Spanish/Catalan (optional)
Abstract: This course, adapted to students’ proficiency, introduces them to Spanish (Catalan for native Spanish speakers).