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People Analytics: Transforming Management with Behavioral Data

March 12-13, 2018

Born out of the MIT Media Lab, people analytics, using behavioral data to understand and manage organizations, has fundamentally changed how companies operate. This course will provide participants with a foundation in people analytics through discussion and hands-on exercises with real world data and tools. There are basic questions that have an impact on businesses that no one can answer. How much does the executive team communicate with engineering? Is a manager really spending time with their team? How often should a salesperson speak with a customer? The reason we can?t answer these questions is a lack of data. Surveys and consultants are useful, but their shortcomings are evident. They?re slow, subjective, and don?t actually measure what happens in the real world. New data has changed this equation. We are constantly generating data about our behavior: e-mail, IMs, calendar data, and increasingly sensor data about the real world. This is people analytics: using behavioral data about how people work to change how companies are managed. In this course, we?ll first investigate what data we have at our disposal now and in the near future. We?ll also discover what behavioral metrics really matter and how can you communicate these metrics to other stakeholders. Next, we?ll focus on how these new metrics and data streams can rapidly increase the speed and quality of decision making. Similar to A/B testing in the online space, now we can A/B test how businesses are managed. Compensation, IT systems, real estate decisions, and even org charts can now be rapidly deployed and quantitatively tested by combining behavioral data and key performance indicators (KPIs). We?ll discuss examples from Fortune 500 companies that have successfully used people analytics to improve their organizations, as well as how they are transitioning to an A/B testing decision making culture.

Designing Efficient Deep Learning Systems - Spring Session

March 28-29, 2018

Deep learning is widely used for many artificial intelligence (AI) applications including computer vision, speech recognition, robotics, etc. While deep learning delivers state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Accordingly, designing efficient hardware systems to support deep learning is an important step towards enabling its wide deployment, particularly for embedded applications such as mobile, Internet of Things (IOT), and drones.

Who Should Attend
This course is designed for research scientists, engineers, developers, project managers, startups and investors/venture capitalists who work with or develop artificial intelligence for hardware and systems, as well as mobile or embedded applications:

* For project managers and investors/venture capitalists whose work involves assessing the viability or potential impact of a deep learning system and selecting a research direction or acquisition, this course aims to provide an overview of the recent trends as well as methods to assess the technical benefits and drawbacks of each approach or solution based on a comprehensive set of metrics.
* For research scientists and engineers whose work involves designing and building deep learning systems, this course aims to provide an overview of the various state-of-the-art techniques that are being used to address the challenges of building efficient deep learning systems.
* For startups and developers whose work involves developing deep learning algorithms and solutions for embedded applications and systems, this course aims to provide the insights necessary to select the best platform for your goals and needs. It will also highlight techniques that can be applied at the algorithm level to improve the energy-efficiency and speed of your proposed solution.

Formulation and Stabilization of Biotherapeutics

June 11-13, 2018

Biotherapeutics, particularly antibodies, are currently the fastest growing pharmaceuticals. Ideally, they are formulated in aqueous solutions, often a great challenge due to physical and chemical stability issues. This course addresses those challenges across a range of topics from aggregation to oxidation, deamidation, and hydrolysis. It covers these topics from the basic to the advanced level with an emphasis on modeling. In addition, cutting-edge technologies are described and analyzed. The course as a whole focuses on giving you additional tools and knowledge to help streamline solutions to formulation and stability issues for biologics.

Who Should Attend

This course is targeted for scientists and engineers in biopharmaceutical development. It would also be of interest to those in biomanufacturing, in which stability issues perpetually arise. The course will be of particular benefit to those who wish to enhance their skill in efficiently and effectively addressing stability issues and formulation. Those who should attend include:

  • Formulation scientists from beginning to advanced
  • Scientists and engineers who are interested in or need to understand stability issues
  • Bioprocessing scientists and engineers
  • Scientists and engineers interested in physical and chemical processes that occur with biomolecules
  • Managers responsible for pharmaceutical development, manufacturing, and regulatory affairs

Multiscale Materials Design

June 11-15, 2018

As the demand for high-performance materials with superior properties, flexibility, and resilience grows, a new design paradigm from the molecular scale upwards has revolutionized our ability to create novel materials. This course covers the science, technology, and state-of-the-art in atomistic, molecular, and multiscale modeling, synthesis and characterization. Through lectures and hands-on labs, participants will learn how superior material properties in nature and biology can be mimicked in bioinspired materials for applications in new technology. Bridging multiple hierarchies of length- and time-scales, this course trains participants in applications to polymers, metals and ceramics as well as composites. The course also covers sustainable infrastructure materials such as concrete and asphalt.

This course will focus on practical problem-solving computational tools paired with a detailed discussion of experimental techniques to probe the ultimate structure of materials, emphasizing tools to predict key mechanical properties. Case studies of molecular mechanics, bio-inspired composites, and dynamic fracture of composites and polymers will be presented and carried out by participants in computational labs. Simulation codes, algorithms, and details of the implementations of different simulation technologies, including validation, will be presented, including practical issues such as supercomputing (hardware and software), parallelization, graphics processing computing (GPU), and others. Specific focus is on structural polymers and composites, including innovative material platforms such as carbon nanotubes, graphene, and protein materials for bio-inspired materials. Participants will learn state-of-the-art techniques, such as molecular dynamics and coarse-graining, used to cover a range of length- and time-scales.

Who Should Attend
This course will be of interest to scientists, engineers, managers, and policy makers working in the area of materials design, development, manufacturing, and testing. The program is of particular interest to industries where highly functional materials tailored for specific purposes are needed. The focus on mechanical properties includes domains such as biomaterials and implants, adhesives, construction materials, and structural materials for the aero-astro and automotive industries.

Nuclear Plant Safety

June 11-15, 2018

The reactor safety course (one of MIT Professional Education’s longest running summer programs) addresses from a practical point of view the safety and regulatory issues of operating and planned reactors in the US and other countries. Emphasis will be on new developments such as:

  • New reactor safety and licensing
  • International perspectives on safety
  • Risk-informed operations
  • Causes of plant outages
  • High performance fuel
  • Spent fuel storage management
  • Emergency planning - course sessions that focus on learning from the Fukushima experience.

A review of recent developments focusing on safety issues in the near-term deployment of new plants, the Generation-IV nuclear system program, and the advanced fuel cycle initiative will be among the topics of discussion. There will be a panel discussion at the end of each day comprised of that day’s lecturers to answer questions.


WHO SHOULD ATTEND
The Nuclear Plant Safety course is intended for degree holding engineers and scientists who have some knowledge of nuclear facility technology and who are or will be participating directly in the design, construction, operation, or regulatory safety review of large nuclear installations such as power reactors. It will be of particular interest to technically trained representatives of the electrical power utility industry, Department of Energy facilities, reactor or reactor component fabricators, safety evaluators, and other technically trained personnel interested in obtaining an overall view of reactor safety.

Quantitative Cardiorespiratory Physiology and Clinical Applications for Engineers

June 11-15, 2018

This course presents the functional anatomy, physiology, and pathophysiology of the cardiovascular and respiratory systems from an engineering perspective. The goal of the course is to enable engineers and managers from industry to understand the normal cardiorespiratory physiology at the systems level, to predict system behavior under normal operation and pathological stresses, and to understand what commonly monitored clinical signals reveal about the state of the system. Strong emphasis will be placed on describing the cardiovascular system quantitatively, drawing on physical principles and deriving models of cardiovascular and respiratory function that illuminate the organ systems’ operation. The course is structured into these major blocks:

  • Functional anatomy of the cardiovascular systems
  • Function of the heart and peripheral circulation
  • Function of the intact cardiovascular system
  • Control of the cardiovascular system
  • Physical basis of electrocardiography
  • Clinical electrocardiography
  • Functional anatomy of the respiratory system
  • Respiratory mechanics
  • Respiratory gas exchange

The course will be lecture-based, with breakout sessions in small groups to work on hands-on problems that consolidate the concepts presented during lectures. Presentations by clinicians will give insights into how technology is used in current clinical practice.

Radical Innovation

June 11-13, 2018

Less than 10 years ago, traditional players such as Nokia, Ericsson, Samsung, and Motorola dominated the mobile phone industry. Three years ago, the hottest phones were by Apple. Today, Samsung is considered an innovative company, Google has acquired the mobile phone division of Motorola, and Microsoft has acquired the mobile phone division of Nokia. Three elements of modern technology are making new ideas appear at such an extraordinary pace: the sheer rate of technical progress, the abundance of tools that are placing advanced technologies within the reach of new entrants, and the extraordinary opportunities created by convergence. Not all innovation needs to progress at this rate; however, there are lessons to be learned from these events and every company should be prepared to leverage opportunities from within or to ward off threats from the outside. The objective of this class is to cover some of the salient features of innovation in the modern world and to lay out the philosophy, tools, procedures, and incentives that an organization can adopt to drive innovation.

The course will cover a range of topics in innovation, and will begin with an understanding of what makes a successful innovative product and business: people, opportunity, context, and technology. The course will examine case studies in what we call radical innovation and will identify steps that companies can take towards encouraging innovations from within, ranging from brainstorming sessions to invention awards. Participants will also examine successful incubator strategies and critical success factors and some of the IP issues around invention. Next, the course will explore the role of venture funds inside and outside companies, and discuss spinouts, spin-ins, licensing, and acquisitions. Finally, participants in the course will consider the role of communities, standards bodies, and open-source models in innovation. There will also be breakout sessions in which smaller groups will engage in innovation exercises.

Who Should Attend

The course is taught from a technology viewpoint and is targeted at technical leaders, executives in charge of product or company strategy, and product managers. Typical titles will include: CTO, Head of Strategy, CIO, Head of R&D, Product Manager, Director of Lab, Group Leader, and so on.

Advances in Food Innovation

June 18, 2018 to June 22, 2018

The past decades have resulted in unparalleled progress in food technology, driven by innovation that spans across disciplines as diverse as agriculture, big data and machine learning, and materials science. This intense course will cover different aspects of innovative paradigms to optimize and adapt existing processes as they pertain to the production, distribution, and consumption of food. Participants will explore groundbreaking insights at the interfaces of traditional disciplinary boundaries and receive practical training in creative methods, innovation, and entrepreneurship through a variety of interactive learning experiences. Integrated around key concepts in food, participants will be exposed to multiple perspectives in engineering, technology, and science. The course encompasses both scientific and entrepreneurial aspects, including startups in the food industry and creativity by world-leading chefs. This course focuses on four fundamental areas that underpin food innovation: The application of advanced technologies, such as new materials, data, and machines, in both conventional and unconventional agricultural production The use of data and modeling to improve the production and distribution of food by enhanced precision by using nanotechnology, biotechnology, and other cutting edge engineering solutions, combined with large-scale data analytics and simulation Food access and distribution, including new technologies for preservation and presentation and the use of unconventional ingredients New and creative methods at the interface of science, engineering, and the arts that will push the boundaries of conventional methods to generate new tasting experiences. WHO SHOULD ATTEND
This course is highly interactive and immerses participants into key frontier technologies with hands-on participation. It is designed for people working in food-related industry roles, such as VPs, directors, or managers of R&D; research scientists and engineers; chefs and restaurant owners; and government administrators in food areas (U.S. or overseas). Industries that would benefit from this course include chemical, machinery, environmental, commodity production (agricultural), seed manufacturing, biotechnology, pharmaceutical, venture capital, and agricultural non-profits including cooperatives. The course will be particularly suitable for members of the food innovation space including food startups, restaurants, and innovative distribution solutions.

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