Internet of Things Roadmap to a Connected World

Jim GlassSenior Research Scientist, MIT Computer Science and Artificial Intelligence Laboratory

Professor, MIT Computer Science and Artificial Intelligence Laboratory at Massachusetts Institute of Technology

MIT is at the forefront of IoT research. In fact, MIT experts are utilizing IoT technologies in smart cities, home automation, and factory automation. By partnering with national governments, large companies, and startups, MIT faculty are applying their groundbreaking research to real-world challenges.

While the promise of the Internet of Things (IoT) brings many new business prospects, it also presents significant challenges ranging from technology architectural choices to security concerns. MIT Professional Educations new Internet of Things: Roadmap to the Connected World course offers important insights on how to overcome these challenges and thrive in this exciting space. At the end of the program, you will be able to understand how to develop and implement your own IoT technologies, solutions, and applications.

Earn a Certificate of Completion after the program

Sanjay SarmaDean of Digital Learning, Professor of Mechanical Engineering, Office of Digital Learning; Department of Mechanical Engineering

Wearable sensing for IoT featuring new ways to control and interact with your environment

For a group of 5 or more individuals, you can pay via invoice. To be invoiced, please emailmith the number of individuals in your group, and instructions to register will be provided.

Explore IoT technologies, architectures, standards, and regulation

Assessments to reinforce key learning concepts presented in each module

John J. Leonard is Samuel C. Collins Professor of Mechanical and Ocean Engineering and Associate Department Head for Research in the MIT Department of Mechanical Engineering. He is also a member of the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL). His research addresses the problems of navigation and mapping for autonomous mobile robots. He holds the degrees of B.S.E.E. in Electrical Engineering and Science from the University of Pennsylvania (1987) and D.Phil. in Engineering Science from the University of Oxford (1994). Prof. Leonard joined the MIT faculty in 1996, after five years as a Post-Doctoral Fellow and Research Scientist in the MIT Sea Grant Autonomous Underwater Vehicle (AUV) Laboratory. He was team leader for MITs DARPA Urban Challenge team, which was one of eleven teams to qualify for the Urban Challenge final event and one of six teams to complete the race. He served as Co-Director of the Ford-MIT Alliance from 2009 to 2013. He is the recipient of an NSF Career Award (1998) and the King-Sun Fu Memorial Best Transactions on Robotics Paper Award (2006). He is an IEEE Fellow (2014).

The desirable features of a distributed architecture for a system of things

Understand how to develop and implement your own IoT technologies, solutions, and applications.

Associate Professor, MIT Media Lab at Massachusett Institute of Technology

Hari BalakrishnanProfessor of Computer Science, MIT Computer Science and Artificial Intelligence Laboratory

Taught by a team of world-renowned researchers with expertise in the architectures and applications of IoT,theInternet of Things (IoT): Roadmap to a Connected Worldcourse introduces both the broad range of IoT technologies and the most recent developments in the space.  Guided by faculty and researchers from MITs Computer Science and Artificial Intelligence Laboratory (CSAIL), Media Lab, SENSEable City Lab, Department of Mechanical Engineering, and the World Wide Web Consortium, you will:

Samuel Madden is a Professor of Electrical Engineering and Computer Science in MITs Computer Science and Artificial Intelligence Laboratory. His research interests include databases, distributed computing, and networking. Madden is a leader in the emerging field of Big Data, heading the Intel Science and Technology Center (ISTC) for Big Data, a multi-university collaboration on developing new tools for processing massive quantities of data. He also leads , an industry-backed initiative to unite researchers at MIT and leaders from industry to investigate the issues related to systems and algorithms for data that is high rate, massive, or very complex.

Through video presentations and case studies, you will gain a comprehensive understanding of IoTs potentialand discover how to leverage it to benefit your organization.   Additionally, participants will gain an understanding of technology developments that will shape the industrial landscape in the years to come.

Response of the system including analytics and optimization, distributed action, people as intelligent actuators

Each video module is pre-taped, enabling you to complete it any time before the assigned due date. While you may complete all the assignments in rapid succession, most participants find it beneficial to adhere to the weekly schedule and participate in online discussion forums along the way. There are approximately two hours of video every week and you will likely spend an average of three to four hours a week on course-related activities.

Realize the value created by collecting, communicating, coordinating, and leveraging the data from connected devices;

An architect and engineer by training, Carlo Ratti practices in Italy and teaches at the Massachusetts Institute of Technology, where he directs the Senseable City Lab. He graduated from the Politecnico di Torino and the cole Nationale des Ponts et Chausses in Paris, and later earned his MPhil and PhD at the University of Cambridge, UK. Ratti has co-authored over 200 publications and holds several patents. His work has been exhibited worldwide at venues such as the Venice Biennale, the Design Museum Barcelona, the Science Museum in London, GAFTA in San Francisco and The Museum of Modern Art in New York. His Digital Water Pavilion at the 2008 World Expo was hailed by Time Magazine as one of the Best Inventions of the Year. He has been included in Esquire Magazines Best and Brightest list, in Blueprint Magazines 25 People who will Change the World of Design and in Forbes Magazines People you need to know in 2011. Ratti was a presenter at TED and is serving as a member of the World Economic Forum Global Agenda Council for Future Cities. He has written as an op-ed contributor for several media including BBC, Financial Times, Le Monde, La Stampa, Scientific American and The New York Times.

Principles of cybernetics such as sensing and actuating

This course is well suited for professionals with a background in electrical engineering or computer science. Specifically, it is ideally suited for individuals who want to leverage the Internet of Things to address business challenges including cybersecurity, system architecture, and data management.  Because of the nature of this course, the information is applicable to people working in a variety of industries, from healthcare to telecommunication.  Industries represented include:

Immersive visualization of diverse sensor data using game engines

Once the course is added to your cart, you can select the number of enrollments you would like to purchase. You can then pay using a valid credit card.

Earn 1.2 CEUs from MIT Professional Education

Is the Internet the right technology to hook together a network of things?

Internet of Things: Roadmap to a Connected World

David ClarkSenior Research Scientist, MIT Computer Science and Artificial Intelligence Laboratory

Daniela RusProfessor, Electrical Engineering Computer Science, Director, MIT Computer Science and Artificial Intelligence Laboratory

Professor, MIT Computer Science and Artificial Intelligence Laboratory at Massachusett Institute of Technology

Short case studies and focused readings

David Clark is a Senior Research Scientist at the MIT Computer Science and Artificial Intelligence Laboratory, where he has worked since receiving his Ph.D. there in 1973. Since the mid 70s, Dr. Clark has been leading the development of the Internet; from 1981-1989 he acted as Chief Protocol Architect in this development, and chaired the Internet Activities Board. His current research looks at re-definition of the architectural underpinnings of the Internet, and the relation of technology and architecture to economic, societal and policy considerations. He is helping the U.S. National Science foundation organize their Future Internet Design program. He is past chairman of the Computer Science and Telecommunications Board of the National Academies, and has contributed to a number of studies on the societal and policy impact of computer communications. He is co-director of the MIT Communications Futures Program, a project for industry collaboration and coordination along the communications value chain.

Section B: Wireless Technologies for Indoor Localization, Smart Homes, and Smart Health

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Web of Things layer as the driver for IoT systems

Three modules covering 13 topic areas and 12 hours of video

Formulating an architecture that enables a macro picture of systems, an accessible design paradigm, and a set of interfaces which can be standardized

Participants are required to provide some personal information via a short mandatory course entrance survey. You will be able to access the survey on the course star

Madden received his Ph.D. from the University of California at Berkeley in 2003 where he worked on the TinyDB system for data collection from sensor networks. Madden was named one of Technology Reviews Top 35 Under 35 in 2005, and is the recipient of several awards, including an NSF CAREER Award in 2004, a Sloan Foundation Fellowship in 2007, best paper awards in VLDB 2004 and 2007, and a best paper award in MobiCom 2006.

Individual registrants must complete registrations and pay online with a valid credit card at the time of registration. MIT Professional Education accepts globally recognized major credit or debit cards that have a Visa, MasterCard, Discover, American Express or Diners Club logo.

Three key dimensions: application duty cycle and data rate, battery consumption, and communication range

The key lessons that our experience with the Internet teaches us about a future of things

Considerations for multilingual interactions

What do I need to do to register for the course?

Enterprise data shared vs. public vs. private

The city as a cyber physical system

Discover key IoT concepts including identification, sensors, localization, wireless protocols, data storage and security; Explore IoT technologies, architectures, standards, and regulation

Community Wiki for accessing additional resources, suggested readings, and related links

90-day access to archived course materials:

Please note that our payment terms are net zero, and all invoices must be paid prior to the course start date. Failure to remit payment before the course begins will result in removal from the course. No extensions or exceptions will be granted.

Collection of information including opportunistic sensing, crowd sensing, and ad hoc sensing

When will I get access to the course site?

Daniela Rus is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Russ research interests are in robotics, mobile computing, and big data. She is especially interested in the security aspects of cyberphysical systems, such as groups of robots. The key focus of her research is to develop the science of networked/distributed/collaborative robotics, by asking: how can many machines collaborate to achieve a common goal even if adversaries are interfering with the task of the group? Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering. She earned her PhD in Computer Science from Cornell University. Prior to joining MIT, Rus was a professor in the Computer Science Department at Dartmouth College.

Professor of Electrical Engineering and Computer Science, MIT Computer Science and Artificial Intelligence Laboratory at Massachusett Institute of Technology

Videos, discussion boards, content, and Wiki

How do I register a group of participants?

Linked data value is greatest when linked

John LeonardProfessor, MIT Computer Science and Artificial Intelligence Laboratory

Our courseware works best with current versions of Google Chrome, Firefox, or Safari, or with Internet Explorer version 10 and above. For the best possible experience, we recommend switching to an up-to-date version of Chrome. If you do not have Chrome installed, you can get it for free here:

Ways to act on the information collected, thereby controlling the real world

CEUs are a nationally recognized means of recording noncredit/non-degree study. They are accepted by many employers, licensing agencies, and professional associations as evidence of a participants serious commitment to the development of a professional competence.

Sanjay Sarma is the Fred Fort Flowers (1941) and Daniel Fort Flowers (1941) Professor of Mechanical Engineering at MIT. He is the first Director of Digital Learning at MIT. He co-founded the Auto-ID Center at MIT and developed many of the key technologies behind the EPC suite of RFID standards now used worldwide. He was also the the founder and CTO of OATSystems, which was acquired by Checkpoint Systems (NYSE: CKP) in 2008. He serves on the boards and advisory boards of GS1, EPCglobal and several startup companies including ESSESS and Top Flight Technologies. In all his endeavors, Professor Sarma has been at the forefront of technologies now known as the Internet of Things: RFID is a fore-runner to IoT, Petari enables massive asset tracking, ESSESS focuses on infrared imaging and smart cities, and MITx, which reports to Professor Sarma at MIT, delivers revolutionary Massive Open Online Courses (Courses) to millions of students around the world straight from the cloud. Dr. Sarma received his Bachelors from the Indian Institute of Technology, his Masters from Carnegie Mellon University and his PhD from the University of California at Berkeley. Sarma also worked at Schlumberger Oilfield Services in Aberdeen, UK, and at the Lawrence Berkeley Laboratories in Berkeley, California. He has authored over 75 academic papers in Internet of Things, computational geometry, sensing, RFID, automation and CAD, and is the recipient of numerous awards for teaching and research including the MacVicar Fellowship, the Business Week eBiz Award and Informationweeks Innovators and Influencers Award. He advises several national governments and global companies.

Tim Berners-LeeProfessor, MIT Computer Science and Artificial Intelligence Laboratory

Sensors and paradigms for seamless interaction with the built environment

Vertical applications that provide a clear business case and a pressing opportunity

Access a private professional alumni group of likeminded professionals and lifelong learners

EARN A CERTIFICATE OF COMPLETION AND CEUS

Srini Devadas is the Webster Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). He received his MS and PhD from the University of California, Berkeley in 1986 and 1988, respectively. He joined MIT in 1988 and served as Associate Head of the Department of Electrical Engineering and Computer Science, with responsibility for Computer Science, from 2005 to 2011. Devadass research interests span Computer-Aided Design (CAD), computer security and computer architecture. In CAD, his work on logic synthesis and power estimation resulted in several best paper awards at the Design Automation Conference and in IEEE Transactions. Devadas was elected a Fellow of the IEEE in 1999 for contributions to design automation. He received the IEEE Computer Society Technical Achievement Award in 2014 for inventing Physical Unclonable Functions and single-chip secure processor architectures. Devadass work on hardware information flow tracking published in the 2004 ASPLOS received the ASPLOS Most Influential Paper Award in 2014.

Section B: Data storage and analysis

Senior Research Scientist, MIT Computer Science and Artificial Intelligence Laboratory at Massachusett Institute of Technology

A focus on network management, security, mobility and longevity

Professor, MIT Computer Science and Artificial Intelligence Laboratory at Massachusett Institute of Technology

My research interests are in computer networks and data communication. They encompass congestion control, network measurements, scalability and robustness of communication systems, differentiated services, Internet pricing, routing, content distribution, peer-to-peer systems, self-configurable and wireless networks, and network security. I have a particular interest in adapting tools from various fields of applied mathematics such as control theory, coding theory, and AI to solve problems in computer networks.

Professor of Computer Science, MIT Computer Science and Artificial Intelligence Laboratory at Massachusett Institute of Technology

Examine technological developments that will likely shape the industrial landscape in the future

The Certificate of Completion will be awarded by MIT Professional Education after the course has ended.

Utilizing sensors to gain greater visibility and real-time situational awareness

Individual registrations must be completed by April 19, 2016. For group sales, purchases can take place up until April 11, 2016. Please note that once registration has closed, no late registrations or cancellations will be granted.

Theory and applications of spoken dialogue for human-computer interaction

In 2001 he became a Fellow of the Royal Society. He has been the recipient of many international awards including the Japan Prize, the Prince of Asturias Foundation Prize, the Millennium Technology Prize and Germanys Die Quadriga award. In 2004 he was knighted by H.M. Queen Elizabeth and in 2007 he was awarded the Order of Merit. In 2009 he was elected a foreign associate of the National Academy of Sciences. In 2013, Tim, along with Vinton Cerf, Robert Kahn, Louis Pouzin and Marc Andreesen, was awarded the Queen Elizabeth Prize for Engineering for ground-breaking innovation in engineering that has been of global benefit to humanity.

Discussion forums for participants to address thought-provoking questions posed by MIT faculty

Invoices will not be generated for individuals, or for groups of less than 5 people. However, all participants will recieve a payment receipt. Payment must be received in full; payment plans are not available.

: Downloadable tools from faculty presentations and other resources

Understand how to develop and implement your own IoT technologies, solutions, and applications

Emerging technologies to address IoT challenges

Section C: Lessons from the Internet

Participants of this course who successfully complete all course requirements in order to earn a Certificate of Completion are eligible to receive 1.2 Continuing Education Units (1.2 CEUs).

Grading:Letter grades are not awarded for this course.

CEUs are based on hours of instruction. For example: One CEU = 10 hours of instruction.

Dean of Digital Learning, Professor of Mechanical Engineering, Office of Digital Learning; Department of Mechanical Engineering at Massachusett Institute of Technology

There are two ways to register multiple individuals at once.

Three case studies: low-power design (Bluetooth Low Energy), range extension techniques (data mining and mesh networking), and data-intensive IoT for continuous recognition applications

Importance of security, privacy, and authenticity

Sam MaddenProfessor of Electrical Engineering and Computer Science, MIT Computer Science and Artificial Intelligence Laboratory

CEUs may not be applied toward any MIT undergraduate or graduate level course.

One size does not fit all: why are there dozens of connectivity options?

Professor, MIT Computer Science and Artificial Intelligence Laboratory at Massachusett Institute of Technology

Professor, Electrical Engineering Computer Science, Director, MIT Computer Science and Artificial Intelligence Laboratory at Massachusett Institute of Technology

Professor of the Practice, Director, MIT Senseable City Lab at Massachusett Institute of Technology

Srini DevadasProfessor, MIT Computer Science and Artificial Intelligence Laboratory

Examine technological developments that will likely shape the industrial landscape in the future;

A graduate of Oxford University, England, Tim is now with the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology (MIT) where he where he also heads the Decentralized Information Group (DIG). He is the Director of the World Wide Web Consortium (W3C), an open forum of companies and organizations with the mission to realize the full potential of the Web. With a background of system design in real-time communications and text processing software development, in 1989 he invented the World Wide Web, an internet-based hypermedia initiative for global information sharing while working at CERN, the European Particle Physics Laboratory. He wrote the first web browser and server in 1990. His specifications of URIs, HTTP and HTML were refined as Web technology spread. In 1994, the W3C, which now has hosts in four countries, was founded at MIT.

Acceptance of CEUs depends on the organization to which one is submitting them. If your employer requires any additional information, MIT Professional Education can answer questions and provide information, but we cannot guarantee that any particular organization will accept our CEUs.

A security paradigm, which considers setup, maintenance, and updating

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Take advantage of a convenient, flexible schedule with platform access 24 hours a day, from anywhere in the world

Joseph ParadisoAssociate Professor, MIT Media Lab

Joseph Paradiso is the Alexander W. Dreyfoos (1954) Professor in Media Arts and Sciences at the MIT Media Laboratory, where he directs the Responsive Environments group, which explores how sensor networks augment and mediate human experience, interaction and perception. He received his PhD in Physics from MIT in 1981 and a BSEE from Tufts University in 1977. After two years developing precision drift chambers at the Lab for High Energy Physics at ETH in Zurich, he joined the Draper Laboratory in 1984, where his research encompassed spacecraft control systems, image processing algorithms, underwater sonar, and precision alignment sensors for large high-energy physics detectors. He joined the Media Lab in 1994, where his current research interests include embedded sensing systems and sensor networks, wearable and body sensor networks, energy harvesting and power management for embedded sensors, ubiquitous and pervasive computing, localization systems, passive sensor architectures, human-computer interfaces, & interactive media.

Held over the course of six weeks, this course includes:

Hari Balakrishnan is the Fujitsu Professor of Computer Science at MIT and a Director of MITs Center for Wireless Networks and Mobile Computing. His research is in networked computer systems, with current interests in networking, data management, and sensing for a world of truly mobile devices and sensors connected to cloud services running in large datacenters. He has made many contributions to mobile and sensor computing, overlay and peer-to-peer networks, wireless networks, Internet congestion control, routing, and security, and data management systems. In 2010, Balakrishnan co-founded Cambridge Mobile Telematics (CMT), a spin-off from the MIT CarTel project. CMT develops mobile sensing, inferencing, and data analytics to change driver behavior and make roads safer around the world. He was an advisor to Meraki from its inception in 2006 to its acquisition by Cisco in 2012, and before that co-founded StreamBase Systems (acquired by TIBCO). Balakrishnan is an ACM Fellow (2008), a Sloan Fellow (2002), an ACM dissertation award winner (1998), and has received many best-paper awards including the IEEE Bennett prize (2004), the ACM SIGCOMM test of time award (2011), and the ACM SIGOPS hall of fame award (2015). He received his PhD in 1998 from UC Berkeley and a B.Tech. in 1993 from IIT Madras, which named him a distinguished alumnus in 2013. He was elected to the National Academy of Engineering in 2015.

Future challenges for ubiquitous speech interfaces

Carlo RattiProfessor of the Practice, Director, MIT Senseable City Lab

Dina KatabiProfessor, MIT Computer Science and Artificial Intelligence Laboratory

To earn a Certificate of Completion in this course, participants should watch all the videos, and complete all assessments by the due date, with an average of 80 percent success rate.

: Synchronized video transcripts and a compiled transcript of all course lectures

Instructions for accessing the course site will be sent to all paid registrants via email by the course launch date. In order to receive these instructions, please addmo your trusted senders list. If you have not received these instructions by the course start date, please emailm.

Hacking the city: the risk for cyberattacks in centralized and distributed systems

Combining speech with other modalities for natural interaction

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James Glass is a Senior Research Scientist at the Massachusetts Institute of Technology where he leads the Spoken Language Systems Group in the Computer Science and Artificial Intelligence Laboratory. He is also a member of the Harvard-MIT Health Sciences & Technology Faculty. Since obtaining his doctorate at MIT in Electrical Engineering and Computer Science, his research has focused on automatic speech recognition, unsupervised speech processing, and spoken language understanding. He is an Associate Editor for the IEEE Transactions on Audio, Speech, and Language Processing, and a member of the Editorial Board for Computer, Speech, and Language. He is also an IEEE Fellow, and a Fellow of the International Speech Communication Association.

Section F: Robotics and Autonomous Vehicles

Gain the tools and knowledge to develop a concrete IoT roadmap for your organization

Discover key IoT concepts including identification, sensors, localization, wireless protocols, data storage and security;

Senior Research Scientist, MIT Computer Science and Artificial Intelligence Laboratory at Massachusett Institute of Technology

Explore IoT technologies, architectures, standards, and regulation;

Conclusion:Roadmap of the Internet of Things (IoT)

Students will be required to complete a mandatory entrance survey before access is granted to the platform, videos and other course materials. Upon successful completion of the course and all assessments a Certificate of Completion will be awarded by MIT Professional Education.

Emerging descriptive data standards for IoT and sensors

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By 2020, there will be 50 billion devices connected to the Internet. How will you and your organization capitalize on this tremendous opportunity? Join this new evolution in hardware, software, and data by registering for this six-week online offering.

Recognize IoT opportunities in your own industry or function to help your company maintain its competitive advantage

Paralinguistic information from speech for enhanced HCI

Realize the value created by collecting, communicating, coordinating, and leveraging the data from connected devices

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