Program Overview

##Faculty of Electrical and Computer Engineering The Faculty of Electrical and Computer Engineering, located at the State University of Campinas, offers a range of programs and research opportunities.

Institutional Information

• Get to know FEEC (Get to know FEEC)
• History and Awards
• Teachers
• Study at FEEC (Study at FEEC)
• Student Organizations
• Alumni and Connections
• Our Social Impact
• Organizational Structure
• Our departments
  • DCA
  • DSE -DEEB
  • DECOM
• Visual Identity
• Board of Directors
• Interdepartmental Council
• Congregation
• Published Books

Graduation

• About Graduation
• Electrical Engineering Course
• Computer Engineering Course
• Graduation Team
• How to Join
• Internationalization Undergraduate Studies
• Internship Opportunity
• Undergraduate Scholarship Program
• PIF Integrated Training Program

Postgraduate Studies

• About Postgraduate Studies
• Defense Schedule
• Team and CPG
• Access to the Postgraduate System
• Disciplines and Calendar
• I want to do Postgraduate Studies
• Regular Students
• Special Student: Isolated Disciplines
• Postgraduate Scholarships
• Thesis Awards
• Internationalization
• Data and Statistics
• Regulations and Norms

Research

• About Research
• Research Lines
• Research Laboratories
• Our projects
• Postdoctoral Scholarship Opportunities
• Researcher Programs
• Institutional Support Office for Researchers EAIP
• Multi-user Equipment
• Research Team

Extension

• About Extension
• EXTECULT
• Extension Courses
• Extension Team
• Partnership Program
• ProECC Extension Scholarships for students

Innovations

• Service Provision (Service Provision)
• Daughter Companies
• Patent Portfolio
• Activity Report

Extension Courses

Data Science

FEE-0242

• Application: Completed Higher Education
• Investment:
• Registrations: until 01/08/2026
• Offered Periods: 08/08/2026 until 12/12/2027
• Modality: At a distance
• Workload: 400 hours (200 hours of theory and 200 hours of practical training)

Course Objective

The course aims to teach basic concepts about Data Science, including deep learning, machine learning, and artificial intelligence, as well as application contexts and career guidance.

Target Audience

The general public, particularly those interested in improving their skills in Data Science and securing the best technology jobs.

Subjects Offered

• Fundamental concepts of photovoltaic solar energy
• Data Foundations
• Data Architecture I
• Data Modeling I
• Data Integration & Ingestion I
• Working with R
• Working with Python
• Statistics Fundamentals
• Machine Learning I
• Deep Learning I
• Recommendations Systems
• Data Architecture II
• Emphasis on NoSQL and NewSQL databases
• Data Science with Python
• Startup One
• Entrepreneurship and Innovation
• Data Capture & Treatment
• Data Ecosystems
• Advanced EDA
• Feature Engineering
• Machine Learning & Deep Learning
• Deep Learning II. MLOps
• Business Science and Analytics
• Discussions and thought-provoking ideas about the use of Data Science in various industries and market sectors
• Business Analytics
• Final Course Project

Teacher in Charge

Luiz Cesar Martini