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Appunti universitari condivisi: artificial intelligence and data engineering

LM-32 - Ingegneria informatica - Università degli studi di Pisa

The MSc (laurea magistralis) provides a solid in-depth education that enables the graduates to design and implement, on one side, systems for efficiently managing large amount of data and extracting useful knowledge from these data, and, on the other, intelligent systems by exploiting artificial intelligence techniques. The MSc advances the students' knowledge portfolio, in both computer infrastructures for intensive data management, and methods for data analytics and artificial intelligence. These competences allow graduates to interact with professionals in different domains and contexts where data processing is required, as well as to complete their mastering of computer engineering.

The course is structured to admit not only students with already a strong background in computer engineering, but also students coming from different disciplines with at least a proper knowledge of computer programming. Graduates in computer engineering will have the opportunity to go in-depth into engineering and methodological disciplines; the graduates in other disciplines will complete their knowledge of base methodologies of computer engineering, including operating systems, computer networks, databases, algorithms and advanced programming. Then, all students are presented with the following subjects: optimization techniques and game theory, business processes and entrepreneurship, non-relational databases, distributed databases, query optimization, data warehouses, cloud computing and infrastructures, multimedia information management, data mining and machine learning, computational intelligence and deep learning, process mining and intelligence, symbolic artificial intelligence, swarm and evolutionary intelligence.

Ecco tutti i dettagli sul corso di laurea selezionato. Sul UniDocs troverai gli appunti condivisi dagli altri studenti del tuo corso di laurea, ordinati per materia. Ricordati che per poter visualizzare il materiale devi essere registrato al sito e possedere un numero di crediti sufficiente.

• [P678791649] DATA MINING AND MACHINE LEARNING (1° anno)
• [P978063921] CLOUD COMPUTING (1° anno)
• [P241520344] LARGE-SCALE AND MULTI-STRUCTURED DATABASES (1° anno)
• [P273141502] COMPUTATIONAL INTELLIGENCE AND DEEP LEARNING (2° anno)
• [P696146720] MULTIMEDIA INFORMATION RETRIEVAL AND COMPUTER VISION (2° anno)
• [P721123675] PROCESS MINING AND INTELLIGENCE (2° anno)
• [P097083424] SYMBOLIC AND EVOLUTIONARY ARTIFICIAL INTELLIGENCE (2° anno)
• [P236113380] OPTIMIZATION METHODS AND GAME THEORY (1° anno)
• [P513876655] STATISTICA (1° anno)
• [P247978561] DIRITTO DELL’INFORMATICA (1° anno)
• [P713687559] METODI DI FORMAZIONE E DI ELABORAZIONE DELLE BIOIMMAGINI (1° anno)
• [P953852299] ALGORITMI E STRUTTURE DATI (1° anno)
• [P583075463] BASI DI DATI (1° anno)
• [P381012959] FOUNDATIONS OF CYBERSECURITY (1° anno)
• [P744708978] INTERNET OF THINGS (1° anno)
• [P854332259] MOBILE AND SOCIAL SENSING SYSTEMS (1° anno)
• [P137826611] PERFORMANCE EVALUATION OF COMPUTER SYSTEMS AND NETWORKS (1° anno)
• [P328220411] PROGRAMMAZIONE AVANZATA (1° anno)
• [P256740189] RETI INFORMATICHE (1° anno)
• [P884804199] SISTEMI OPERATIVI (1° anno)
• [P445631822] DISTRIBUTED SYSTEMS AND MIDDLEWARE TECHNOLOGIES (2° anno)
• [P113727981] MOBILE AND SOCIAL SENSING SYSTEMS (2° anno)
• [P160211692] ROBOTICA E MACCHINE INTELLIGENTI (2° anno)
• [P932350700] BUSINESS AND PROJECT MANAGEMENT (1° anno)
• [P159653363] GESTIONE DELL’INNOVAZIONE (2° anno)

 

Sbocchi lavorativi
Analisti e progettisti di software - (2.1.1.4.1)
Analisti di sistema - (2.1.1.4.2)
Analisti e progettisti di applicazioni web - (2.1.1.4.3)
Analisti e progettisti di basi dati - (2.1.1.5.2)
Ricercatori e tecnici laureati nelle scienze ingegneristiche industriali e dell’informazione - (2.6.2.3.2)