Our aim is to train engineers capable of using scientific and technological knowledge of computing (hardware and software) to develop solutions with economic, environmental, social and ethical impacts on the market and people's lives.
During this incredible learning journey, you will have the opportunity to develop a business vision in areas such as corporate finance, market intelligence, digital marketing and people analytics, as well as working on your socio-emotional skills.
Participate in and manage projects relevant to Computer Engineering, solving problems involving interdisciplinary perspectives;
Analyze and evaluate computer architectures, including parallel and distributed platforms, as well as develop and optimize software for them;
Understanding, implementing and managing the security of computer systems;
Analyze, evaluate, select and configure hardware platforms for the development and implementation of software applications and services;
Recognize their role in society through critical thinking, promoting innovation in the areas in which Computer Engineers work;
Demonstrate self-learning, collaboration and communication skills.
Year 1
Common curriculum for all courses
Year 2
Specific curriculum of the chosen course
From the second year onwards you will develop projects specific to the course you have chosen
Year 4
Career acceleration
In the fourth year you choose which track to follow: entrepreneurial, academic or corporate.
*Ordinance No. 1124, of 05/10/2021, published in D.O.U. No. 190, of 06/10/2021, Section 1, page 204.
Grid
Curriculum
Digital Game - A digital game with its own characters, narrative and mechanics, to help institutions in their training and educational activities.
Mathematics/Physics
Computing
Design
Business
Leadership
Web Application - A web system with back-end and front-end, focused on data registration and retrieval, for various corporate applications
Mathematics/Physics
Computing
Design
Business
Leadership
Logic for prediction with Artificial Intelligence- Use of machine learning on databases to generate predictive models that help decision-making.
Mathematics/Physics
Computing
Design
Business
Leadership
Solution for IoT- Devices with sensors and actuators that collect data and send it to the cloud, helping with monitoring and automation.
Mathematics/Physics
Computing
Design
Business
Leadership
Automation of processes and systems - Development of an automation system, covering analog and digital electronics, embedded technologies and robotics, integrating sensing and instrumentation.
Mathematics/Physics
Computing
UX
Business
Leadership
Mobile robotics and computer vision - Development of a system integrating mobile robots and computer vision, applying simulation of electromechanical systems, control and neural networks.
Mathematics/Physics
Computing
UX
Business
Leadership
Predictive maintenance system with AI and cloud architecture - Development of predictive maintenance systems using artificial intelligence and cloud architecture, with a focus on data analysis and machine learning.
Mathematics/Physics
Computing
UX
Business
Leadership
Autonomous service robot with generative AI - Development of an autonomous service robot using generative AI, with a focus on human-machine interaction, task automation and autonomous navigation.
Mathematics/Physics
Computing
UX
Business
Leadership
Hyperconnectivity for Smart Cities - Development of advanced systems for smart cities, focusing on network communication models, information security and BI - Business Intelligence.
Computing
UX
Business
Leadership
Hyperscalable Applications - Development of mobile applications and support platforms that handle large access demands, measuring their performance using load testing tools and implementing observability.
Computing
UX
Business
Leadership
Edge computing system
Development of artificial intelligence systems with edge computing, drastically reducing latency, increasing reliability and optimizing the use of cloud resources.
Computing
UX
Business
Leadership
Trends and Updates
This module covers the latest updates and emerging technological trends, providing an in-depth and practical understanding of innovations. The module is divided into two parts. The first part, the "Technical Review", is guided through continuous learning and validation of learning. The second part, the "Special Project", offers courses such as Fundamentals of Security and Post Quantum Cryptography, Risk Management in Cybersecurity, Immersive Experiences and Business Game, of technological trends, allowing the exploration of new technological concepts and applications of innovative practices, including Libras - Brazilian Sign Language.
Entrepreneurship Track
Corporate Track
Academic Track
Complementary activities
Workload: 400 hours
Total workload
4000 hours
Grid
Curriculum
Digital Game - A digital game with its own characters, narrative and mechanics, to help institutions in their training and educational activities.
Mathematics/Physics
Computing
Design
Business
Leadership
Web Application - A web system with back-end and front-end, focused on data registration and retrieval, for various corporate applications
Mathematics/Physics
Computing
Design
Business
Leadership
Logic for prediction with Artificial Intelligence - Use of machine learning on databases to generate predictive models that help decision-making.
Mathematics/Physics
Computing
Design
Business
Leadership
IoT solution - Devices with sensors and actuators that collect data and send it to the cloud, helping with monitoring and automation.
Mathematics/Physics
Computing
Design
Business
Leadership
Automation of processes and systems - Development of an automation system, covering analog and digital electronics, embedded technologies and robotics, integrating sensing and instrumentation.
Mathematics/Physics
Computing
UX
Business
Leadership
Mobile robotics and computer vision - Development of a system integrating mobile robots and computer vision, applying simulation of electromechanical systems, control and neural networks.
Mathematics/Physics
Computing
UX
Business
Leadership
Predictive maintenance system with AI and cloud architecture - Development of predictive maintenance systems using artificial intelligence and cloud architecture, with a focus on data analysis and machine learning.
Mathematics/Physics
Computing
UX
Business
Leadership
Autonomous service robot with generative AI - Development of an autonomous service robot using generative AI, with a focus on human-machine interaction, task automation and autonomous navigation.
Mathematics/Physics
Computing
UX
Business
Leadership
Hyperconnectivity for Smart Cities - Development of advanced systems for smart cities, focusing on network communication models, information security and BI - Business Intelligence.
Computing
UX
Business
Leadership
Hyperscalable Applications - Development of mobile applications and support platforms that handle large access demands, measuring their performance using load testing tools and implementing observability.
Computing
UX
Business
Leadership
Edge computing system - Development of artificial intelligence systems with edge processing, drastically reducing latency, increasing reliability and optimizing the use of cloud resources.
Computing
UX
Business
Leadership
Trends and Updates - This module covers the latest updates and emerging technological trends, providing an in-depth and practical understanding of innovations. The module is divided into two parts. The first part, the "Technical Review", is guided through continuous learning and validation of learning. The second part, the "Special Project", offers courses such as Fundamentals of Security and Post Quantum Cryptography, Risk Management in Cybersecurity, Immersive Experiences and Business Game, of technological trends, allowing the exploration of new technological concepts and applications of innovative practices, including Libras - Brazilian Sign Language.
Entrepreneurship Track
Corporate Track
Academic Track
Complementary activities
(Workload - 400 hours)
Total workload
4000 hours
Course Coordinator:
Degree in Electrical Engineering, Electronics with emphasis on Telecommunications from the National Telecommunications Institute (INATEL).
Master's Degree in Mechanical Engineering, Industrial Automation and Robotics from the University of Taubaté (UNITAU).
She has over 18 years' experience as a teacher and course coordinator in the field of engineering.
Professor and coordinator of undergraduate engineering courses, focusing on Algorithms, Programming and Machine Learning.
Member of the Bank of Assessors of the National Higher Education Assessment System (BASis).
Reviewer for the Faculty Guide.
Academic director:
Flávia Santoro
Degree in Electronic Engineering from the Polytechnic School of the Federal University of Rio de Janeiro (UFRJ).
PhD and MSc in Systems and Computer Engineering from COPPE - Federal University of Rio de Janeiro (UFRJ).
Sabbaticals at the Université Pierre et Marie Curie, France (2004-2005) and Queensland University of Technology, Australia.
She has worked for 20 years as a teacher, course coordinator and researcher in Information Systems and Computer Science, focusing on Business Process Management, Knowledge-Intensive Processes, Knowledge Management and Collaborative Systems and Project-Based Learning.
He has more than 250 publications with various practical results.
Social networks
Location
An innovation and technology ecosystem located in São Paulo, within the university city.
Location
An innovation and technology ecosystem located in São Paulo, within the university city.
Instituto de Tecnologia e Liderança - CNPJ 35.078.331/0001-29 - Av. Professor Almeida Prado, 520 - Butantã, 05508-901 - São Paulo - SP
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