Certificado de conclusão Master Business em Automação Industrial na Uninversidade Internacional (UNINTER).

1. Industrial Internet of Things: from Theory to Applications
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Industrial Internet
of Things:
from Theory to Applications
Online program

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The Internet of Things (IoT) is transforming the way we live and
work on an unprecedented scale. Advances in technology make it
essential for organizations to ensure they have employees who have
a sound knowledge of concepts such as artificial intelligence (AI),
machine learning and blockchain.
The driving force behind this program is the recognition
that advances in the sciences and technologies of sensors,
computation, and communications enable unprecedented
opportunities to realize designs for, and scale manufacturing of
genius systems and which provide previously unimaginable insight
into, and control over, the condition of our world.
This program will use case studies to demonstrate the fundamental
concepts and showcase cutting edge research which enable new
generations of sensors. Throughout the program you will study the
fundamental sensing, computing, and communication software
technologies at the core of the recent flurry of activity on IoT+.
The technology for, and uses of automated sensing, thinking and
deciding are deeper and richer than IoT, and in this program we
want you to grasp the concept of the technology Industrial Internet
of Things (IIoT). For this reason, we will learn about more than just
IoT and simple Machine Learning.
Throughout this program you will study the fundamental sensing,
computing, and communication software technologies at the core
of the recent flurry of activity on IoT+.
During the program you will:
• Develop your capabilities while solving technical challenges
• Be provided with a previously unimaginable insight into the
condition of the built and natural world – to positively impact
person, machine, environments, and ecosystems.
The technology for, and uses of, automated sensing, thinking and
deciding are deeper and richer than IoT, and in this program we
want you to grasp the concept of the technology Industrial Internet
of Things (IIOT).
About the program
$2,700 USD
A
IN ENGLISH 100% ONLINE
9 WEEKS
8-10 Hours/week

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Be able to assemble, create, specify embedded and IoT+ systems and sensors
where hardware and software interact.
Be able to specify and select commercially available kit or components.
Design IoT+ products using hardware and software.
Solve data science problems using modern machine learning techniques.
Devise solutions for industrial cases (transport, healthcare, and agriculture etc.)
using IoT+.
Lean how to build complete systems that include hardware and software, and
about modern, exciting hardware prototyping platforms early in your career.
Design and deploy telecommunication networks for IoT+ use cases.
Use sensors, sensing technologies, and embedded systems in the context of IoT+.
Apply the theory behind the IoT+ to construct real applications and improve them
using smart technologies.
Key takeaways

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“MIT Professional Education’s programs tackle all the
technologies that are at the heart of the digital transformation,
enabling dedicated professionals to meet new challenges in
the Fourth Industrial Revolution and lead change within their
organizations.”
Clara Piloto
Director of Global Programs at MIT Professional Education
Throughout the program, you will be guided to understand all the
program content so that you are able to complete the required activities.
However, to complete the various activities, you will also need to:
• Have previous knowledge of programming software (preferably
MATLAB and/or Python).
• Have access to software development environments, such as
MATLAB and/or Python.
• Advanced level of physics and mathematics.
To make the most of this program, participants must have enough time
to deepen their knowledge and to learn techniques and theories on
which the exercises are based.
Requirements
• Engineers and engineering managers
• Design and manufacturing engineers seeking to
learn about data and modelling in a manufacturing
environment
• Data scientists looking to apply their craft to the
growing field of smart manufacturing
• Consultants who want to add value around the
latest technology transformations in manufacturing
Who should take this course?
Functional and cross-functional teams are
encouraged to attend together to accelerate the smart
manufacturing adoption process.

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Introduction, Markets, Needs and Trends
• What is IoT and What Is Industrial Internet of Things?
• Market Sectors
• Needs and Use Cases
• Platforms
Sense Part I
• Selected Needs: A Complex Case
• First Data Exploration and Preliminary Visualization
• Sensing System Contact
• Introduction to Sensors
• Selecting A Sensor
Sense Part II
• Data Acquisition
• The Fourier Transform
• Time and Frequency
• Basic Analysis and a Complex Case
Course outline*
MODULE 01
MODULE 02
MODULE 03

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Transformação Digital
“At MIT Professional we have a mission: we motivate students by
providing excellent education and empowering them to work in
today’s modern environment.”
Bhaskar Pant
Executive Director of MIT Professional Education
*Course content may change for academic reasons.
Compute
• Algorithms
• Compute and Learn
• Convolution
• Power to Operate
• Statistics
• Cases with Statistics
Learn
• Machine Learning Methods
• Decision Trees
• Ensemble Learning
• Ensemble Learning Methods part II
• Support Vector Machines
• Neural Nets
Locate
• GIntroduction to Localization
• Waves
• GPS
• Inertial Sensing
• SLAM Technology
Communicate
• Introduction to Communication Sensing Technologies
Integrate Part I
Integrate Part II
MODULE 04
MODULE 05
MODULE 06
MODULE 07
MODULE 08
MODULE 09

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This program is highly collaborative, relying on discussion forums and group
activities.The focus is 100% practical, based on the case study method and
various tools that you can apply immediately.
You will be accompanied
throughout the program
by a learning facilitator
who will be available to
answer any questions.
Case applications
Practical
activities
Self-assessment
Guided discussion
forums
Review
activities
Additional resources
such as videos
and recommended
readings
Live online sessions by professors
and industry experts who will teach
real-life applications and respond
to participants’ questions
Methodology and assessment

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Associate Director, MIT.nano
Dr. Anthony is Director of MIT’s Master of Engineering in Manufacturing
Program, Co-Director of the Medical Electronic Device Realization Center,
and Deputy Director for the MIT Skoltech Initiative. With over 20 years’
experience in product realization—Dr. Anthony won an Emmy (from
the Academy of Television Arts and Sciences) in broadcast technical
innovation—Dr. Anthony designs instruments and techniques to monitor
and control physical systems. His work involves systems analysis and
design and calling upon mechanical, electrical, and optical engineering,
along with computer science and optimization, to create solutions.
The focus of Dr. Anthony’s research is in computational instrumentation—
the design of instruments and techniques to measure and control
complex physical systems. His research includes the development of
instrumentation and measurement solutions for manufacturing systems
and medical diagnostics and imaging systems. In addition to his
academic work, he has extensive experience in market-driven technology
innovation, product realization, and business entrepreneurship and
commercialization at the intersection between information technology and
advanced manufacturing. His teaching interests include the modelling of
large-scale systems in a wide variety of decision-making domains and the
development of optimization algorithms and software for analyzing and
designing such systems. He has extensive experience in market-driven
technology innovation as well as business entrepreneurship.
Brian W. Anthony, PhD
Instructor

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At MIT Professional Education, we are committed to accompanying organizations
as they aspire to provide their professionals with the ongoing education critical
for success in today’s competitive environment.
That’s why we offer plans for companies who wish to train their professionals
with us:
For any more information on our Custom programs, please contact us at
professionalprograms@mit.edu.
Custom programs
Working teams or groups of at
least 10 people are eligible for
special rates.
Custom programs, tailormade for the need
of any company and its professionals.

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Certificate of Completion
All participants that successfully complete the course will receive a Digital
Certificate from MIT Professional Education (MIT Professional Education
Certificate of Completion). Those who complete the program will earn 7,2
Continuing Education Units (MIT CEUs). These are calculated for each program
according to number of learning hours.
To earn MIT CEUs, participants must complete the online CEU program survey
in their learning platform.
These CEUs may be applied towards professional certifications or other required
training or continuing education hours. Please consult your professional
education department for more information.
SHARE AND TAG #MITProfessional
@MIT Professional Education
@MITProfessional

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How to enroll
Complete the form on the registration page:
Your place will be reserved upon confirmation of payment.
We will send you the necessary information to access the virtual
campus so that you can begin to familiarize yourself with it.
Program content will be available on the course start date.
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ENROLL NOW

12. If you would like to learn more, get in touch with us here:
USA: +1 617 861 2554
Spain: +34 660 558 464
professionalprograms@mit.edu
professionalprograms.mit.edu