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Module 1
Workload
75h
Disciplines
4
Full program
360h
Introduction to Data Science and Applications
Introductory module with conceptual and technical foundations for training in Data Science.
The first module establishes the conceptual and technical foundation of the specialization. It introduces the fundamentals of the field, connects students to the context of Industry 4.0, and builds the programming base required for the analytical, predictive, and prescriptive stages of the program.
Module disciplines
01
15h
Industry 4.0
Professor Prof. Dr. Sérgio Evangelista Silva
Syllabus
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Industrial revolutions and productive organization. Fundamentals of Industry 4.0. Digital production management. Smart factory. Business strategies in Industry 4.0. Data-driven strategies. Information strategies. Organizational knowledge. Competitive intelligence.
02
15h
Introduction to Data Science
Professor Prof. Dr. Matheus Haddad
Syllabus
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Concepts, competencies, and skills in Data Science. Practical applications of Data Science. Program structure and its disciplines. Labor market opportunities. Tools and technologies used in Data Science. Ethical considerations in Data Science practice.
03
30h
Programming for Data Science
Professor Profª. Drª. Janniele Soares
Syllabus
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Development environments for Data Science. Basic concepts of the Python language: decision structures, loops, functions, file manipulation, and strings. Data structures: lists, dictionaries, tuples, and sets. Lambda functions, iterators, and generators. Introduction to libraries for Data Science: NumPy, SciPy, Pandas, DateTime, Matplotlib, and Seaborn.
04
15h
Information Retrieval on the Web and Social Networks
Professor Profª. Drª. Helen de Cássia Lima
Syllabus
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Analysis, monitoring, and collection tools. Algorithms and solutions for search and information extraction problems on the Web. Algorithms and solutions for analyzing online social networks and content websites. Web crawling.