Information Technologies for Business Intelligence - IT4BI

Course Structure

1. [\'Data Warehouses (DW, 5 ECTS, Prof. Toon Calders). This course introduces the concepts and techniques necessary for designing, implementing, exploiting, and maintaining data warehouses. More precisely, this includes multidimensional databases and data warehouses, OLAP, reporting, and ETL processes.\', \'Business Process Management (BPM, 5 ECTS, Prof. Toon Calders). This course introduces basic concepts for modeling and implementing business processes using contemporary information technologies and standards, such as Business Process Modeling Notation (BPMN) and Business Process Execution Languages (BPEL).\', \'Decision Engineering (DE, 5 ECTS, Prof. Yves De Smet). The goal of this course is to introduce the basics of decision theory. The main aim is to illustrate how mathematical models and specific algorithms can be used to help decision makers facing complex problems: involving a large number of alternatives, multiple criteria, uncertain or risky outcomes, multiple decision makers, etc..\', \'Advanced Databases (ADB, 5 ECTS, Prof. Esteban Zimanyi). Today,databases are moving away from typical management applications, and address new application areas. For this, databases must consider (1) recent developments in computer technology, as the object paradigm and distribution, and (2) management of new data types such as spatial or temporal data. This course introduces the concepts and techniques of some innovative database applications.\', \'Database Systems Architecture (DBSA, 5 ECTS, Prof. Stijn Vansummeren). The goal of this course is to get a fundamental insight into the implementation aspects of database systems. In particular, we take a look under the hood of relational database management systems, with a focus on query and transaction processing.\', \'Humanities One of the following two courses, depending on the mother tongue of the students \– French Language Course for Foreigners (5 ECTS, Prof. Angelica Vallario); History of the French Language and Francophonie (5 ECTS, Prof. Annick Englebert).\', \'Advanced Data Warehousing (ADW, 5 ECTS, Dr. Patrick Marcel) This course studies the problems posed by data integration, data quality and the database technology used in Business Intelligence. In particular it covers data quality, quality factors, measures, diagnosis, correction and prevention, quality models, mediation and warehousing, ETL, web warehouses, query personalization and recommendation.\', \'Knowledge Discovery and Data Mining (KD&DM, 5 ECTS, Prof. Arnaud Giacometti). This course gives students a detailed understanding of the strengths and limitations of popular data mining techniques. It also allows students to understand the problems associated with the computational complexity issues in data mining.\', \'XML and Web Technologies (X&WT, 5 ECTS, Dr. Béatrice Bouchou-Markhoff). The advent of the World Wide Web has given rise to multiple technologies and techniques for exchanging data on the Web. This course studies these technologies for understanding the theory underlying these technologies but also to understand in what scenarios a certain technology is applicable.\', \'Information Retrieval (IR, 5 ECTS, Dr. Veronika Peralta). This course studies the processing, indexing, querying, organization and classification of textual documents. It also gives the foundations of natural language processing and its use in information retrieval.\', "Business Intelligence Seminar (BIS, 5 ECTS, Dr. Patrick Marcel). This course presents current trends and recent developments in the domain of BI. It is designed and jointly taught by all consortium partners (main and associated) and will involve guest speakers presenting their organization, the three specializations, research topics, internships, and Masters\' thesis subjects for the second year of the master.", \'Humanities(5 ECTS, Prof. Thomas Devogele). One of the following courses, depending on the mother tongue of the student and her/his choice of a specialisation: French Language Course for Foreigners.German Language Course for Foreigners.Spanish Language Course for Foreigners.\', \'French Language Course for Foreigners.\', \'German Language Course for Foreigners.\', \'Spanish Language Course for Foreigners.\', \'Visual Analytics (VA, 5 ECTS, Dr. Jean-Daniel Fekete). The goal of this course is to develop a comprehensive understanding of this emerging and multidisciplinary field, and to apply that understanding in building cutting-edge visual analytics tools and systems using real-world data.\', \'Statistics for machine learning and data mining (SML&DM, 5 ECTS, Dr Etienne Cuvelier). This course focuses on advanced data mining techniques from a statistical point of view (e.g., clustering methods, pattern classification) and from a conceptual point of view (e.g., graphs and social networks modeling and mining). These methods will be applied on numerical as well as qualitative data.\', \'Corporate Semantics and Semantic Web (CS&SW, 5 ECTS, Dr. Dr. Céline Hudelot). This course focuses on semantic web technologies such as RDF, ontologies, semantic information search, question & answering systems. The objective is to show how to bridge the gap between structured and unstructured data for corporate applications, how we can link OLAP and semantics.\', \'Decision Modeling (DM, 5 ECTS, Prof. Vincent Mousseau). This course aims at presenting classical decision models with a special emphasis on decision making in uncertain situations, decision with multiple attributes, and decision with multiple stakeholders.\', \'Introduction to innovation and research (II&R, 5 ECTS, Prof. Marie-Aude Aufaure). This course includes students projects and practical courses for writing scientific papers, presenting research work, designing innovative systems. Intellectual property and European research context will also be part of this course.\', \'Humanities (5 ECTS) This course covers French as a foreign language as well as soft skills (such as soft employability), European institutions, privacy. These courses can be done in videoconference or by podcast for all students.\', \'Service Oriented BI (SOBI, 6 ECTS, Dr. Alberto Abello). This course analyzes the specificity of the service sector and present specific techniques to engineering their systems. The course also analyzes to which extent Data Warehousing can be considered a service, and use the same techniques in its engineering methods.\', \'BI Project (SE&BIP, 6 ECTS, Dr. Oscar Romero). In this course,students will undertake a BI project using software development support tools. The work is realized in groups and takes place in an industrial setting.\', \'Web Services (WS, 6 ECTS, Dr. Carles Farré). This course covers the development Web services and investigate how they are being used in eal-world" Web applications, such as those built by Amazon, Twitter, and Google. Other topics will include studying the REST style of developing Web applications as well as investigating how Web 2.0" concepts relate to the Web services landscape.\', "Viability of Business Projects (VBP, 6 ECTS, Dr. Marc Eguiguren). This course focuses on the main techniques used in analysing the viability of new business ventures: business start-up or the implementation of new projects in the world of services or in the specific field of BI. This project-oriented, eminently practical subject is aimed at each student\'s being able to draft a realistic business plan.", \'Humanities (6 ECTS, Dr. Miquel Barceló). This module is compound of three courses: (1) Spanish (or Catalan) for foreigners (2.5 ECTS), (2) Orientation Week of UPC for international students (0.5 ECTS), and (3) Social and Environmental Aspects of Information Technology (3 ECTS). All three courses will be evaluated separately and the overall mark of the course will be the weighted average of those marks.\', \'Big Data Analytics Seminar (BDASEM, 3 ECTS, Prof. Volker Markl). Participants of this seminar will acquire knowledge about recent research results and trends in the analysis of web-scale data. Through the work in this seminar, students will learn the comprehensive preparation and presentation of a research topic in this fi eld. In order to achieve this, students will get to read and categorise a scienti fic paper, conduct background literature research and present as well as discuss their fi ndings.\', \'Implementation of a Database Engine (IDBE, 6 ECTS, Prof. Volker Markl). In this lab course students will learn how to implement components of a query processor with focus on complex queries as they occur in data warehouses and OLAP. Students will create a working SQL query processor that can answer a set of basic analytical queries.\', \'Heterogeneous and Distributed Information Systems (H&DIS, 6 ECTS, Dr. Ralf Kutsche). In this course students will gain conceptual, methodological and practical knowledge about the development and integration of modern distributed, heterogeneous information systems based on the concepts of model integration, data integration, promotion of information systems and metadata management for Business Intelligence.\', \'Big Data Analytics Projects (IMPRO, 9 ECTS, Prof. Volker Markl). In this course students will learn to systematically analyze a current issue in the information management area and to develop and implement a problem-oriented solution as part of a team.\', \'Humanities: Interdisciplinary Communication (IC, 6 ECTS, Dr. Achim Goeres). In this course students will learn to work on their authentic presentation and what kind of possibilities of intervention they have working in groups (knowledge about role identification and group dynamics). This workshop brings into focus multi-cultural aspects of communication.\']