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Learning guides
First year learning guides
First semester
Big Data
Cloud Computing and Big Data Ecosystems Design
Data Processes
Statistical Data Analysis
Intelligent Systems
Introduction to Innovation and Entrepreneurship Management
Introduction to Technology Watch and Competitive Intelligence
Second semester
Deep Learning
Information Retrieval, Extraction and Integration
Image Processing, Analysis and Classification (elective)
Data Science Seminars (elective)
Experimentation in Software Engineering (elective)
Programming for Data Science (elective)
Image Mining (elective)
Entrepreneurship and Business Modelling
Launching of ICT product/services to the market
I&E Seminars
Summer School
Second year learning guides
First semester
Data Mining and Time Series
Mobile Applications Development
Massively Parallel Machine Learning
Open Data and Knowledge Graphs
Cloud Computing and Big Data Ecosystems Design
Data Analysis
Innovation and Entrepreneurship Study
Second semester
Master Thesis
ETS de Ingenieros Informáticos
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Universidad Politécnica de Madrid
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Última modificación: 21 de julio de 2020