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Principles and Models for System Architecture

July 16-20, 2018

The complexity of products is increasing as we demand additional functionality and higher performance from them. In many cases, we must move to new architectures in order to accommodate this complexity. Furthermore, novel products and systems development require the involvement of and communication between professionals with multiple disciplinary backgrounds as well as with external stakeholders. This promise of this collaboration is to detecting failure modes and constraints early on during its lifecycle, but in practice the early phase of product development is often unstructured. In this course, we will show that complex engineering systems have a set of common principles that cuts across the traditional fields of engineering. The discipline of System Architecture (SA) has been growing in response to this increase in system and product complexity. System architecture is an early lifecycle activity that determines the systems concept and key technical tradeoffs. Nurturing systems thinking and engineering skills, the course begins with System Architecture as a series of decisions that frame the form to function mapping. Learners are exposed to a number of architecture representations, including the Object-Process Methodology (OPM) and the Design Structure Matrix (DSM). Learners gain hands-on modeling experience on a system of their choice by building a series of model deliverables through the course. Learners are exposed to a selection of advanced architecting topics, notably creating tradespaces of designs and the management role of the architect.

Humans, Technology, and the Future of Work

July 16-18, 2018

This course examines the impact that increasing technology use has on workforce productivity. Attendees can expect to, 1) grow their understanding of existing workforce performance limitations, 2) determine how technology can help circumvent these limitations, 3) grasp the productivity challenges technology poses, and 4) explore possible solutions for navigating these challenges in the complex Future of Work. Case studies examined will cut across industries and challenge participants to conceptualize how technological use may affect and be affected by the Future of Work. The course material is interdisciplinary, drawing on literature from psychology, economics, demography, law and ethics.

Machine Learning for Healthcare

July 16-17, 2018

With massive amounts of data flowing from EMRs, wearables and countless other new sources, the potential for machine learning and AI to transform healthcare is perhaps more drastic and profound than any other industry. But there are unique challenges that exist in healthcare that make it difficult to apply new technologies in the industry, including patient privacy issues, the lack of interoperability, and the diversity of digital health data. In this course, you'll gain practical knowledge that will enable you to overcome these hurdles and apply the latest advances in healthcare AI tools and techniques to:

  • Automate medical discoveries
  • Predict patient outcomes
  • Model disease progression
  • Identify & manage high-risk patients
  • Implement patient health initiatives
  • Prevent high-cost care
    • You'll also come away with a strong understanding of important ethical and moral issues associated with the use of machine learning in healthcare, and learn how to develop fair and accountable algorithms that ensure unbiased care.

Modeling and Optimization for Machine Learning

July 16-20, 2018

Numerical modeling is the skill of reducing a messy engineering or computational problem to a mathematical form that can be solved by using standard algorithms and techniques. By recognizing mathematical patterns ?in the wild,? participants will develop an intuition for which problems are solvable using standard numerical modeling techniques and gain the knowledge and skills to then solve them. Computer science is experiencing a fundamental shift in its approach to modeling and problem solving. Early computer scientists primarily studied discrete mathematics, focusing on structures like databases and arrays composed of distinct pieces. With the introduction of modern applications in ?big data,? three-dimensional scanning, machine learning, and noisy sensor communications, practitioners now must design robust methods for processing real-valued data. The latest generation of programmers, computer scientists, and engineers must be able to reason about not just bits-and-bytes, but also calculus, linear algebra, and optimization. By the end of the course, participants will learn how to boil real-world challenges down to their computational essence to make a reasonable estimate of how difficult it would be to design a numerical method to solve them. We will cover a breadth of possible tools, from numerical linear algebra to convex programming and stochastic/deterministic gradient descent, in the context of practical problems drawn from emerging applications in vision, learning, and graphics. Coding and mathematical exercises will reinforce these ideas and expose participants to standard software packages for optimization.

Transforming Your Leadership Strategy

July 17-18, 2018

This program is built around MIT's unique Distributed Leadership Model-a powerful, innovative approach to executive leadership that lies at the core of leadership development at MIT, and the result of an intensive, four-year research project at the MIT Leadership Center to identify more effective strategies for leading in a networked economy. Tested in diverse, real-world settings, the model allows managers to succeed as leaders by being flexible and adaptive in new and unexpected ways through the application of two key concepts:

  • A 4 Capabilities Leadership Framework that makes it possible to harness, align, and leverage the leadership capabilities that exist throughout an organization, and
  • X-Teams, a revolutionary approach to creating flexible, outwardly-focused project teams that enables managers to both keep current with shifts in markets, technologies, and competition, and accelerate the pace of innovation and change

Upon completion of this program, participants will gain an understanding of how to:

  • Innovate and move quickly from generating ideas to executing and diffusing them throughout the organization
  • Unlock crucial information, expertise, and new ways of working together, wherever these qualities reside within or outside the company
  • Succeed in a competitive “flat world” of new organizational architectures; smart, orchestrated networks; and tiny firms that do not need huge capitalization to compete
  • Make their organizations more agile, responsive, and creative

Cambridge, MA

Closing the Gap Between Strategy and Execution

July 18-19, 2018

Most leaders rely on a set of implicit beliefs about how to get things done when they try to execute their strategy. Many common assumptions about execution, however, are incomplete at best and dangerous at worst. Despite its importance, execution remains poorly understood?for every ten books on how to formulate a strategy there is only one on how to translate it into effective action. Executives often focus on specific tools, such as the balanced scorecard or management by objectives, to drive strategy execution without understanding how these tools interact with one another.


Led by Dr. Donald Sull, a global expert on strategy execution in complex organizations, this new two-day course will help leaders reframe execution so that they can avoid common mistakes and focus on the actions that are most likely to bring results. The course introduces a systemic view of strategy execution based on over a decade of research and field-tested in dozens of corporations around the world.


As part of your participation in this program, you and 30 or more of your colleagues will complete a state-of-the-art survey in advance of the course. The data from this survey will be analyzed to provide you with real-time insights that help pinpoint concrete opportunities to improve your organization?s execution capacity.


Closing the Gap Between Strategy and Execution is:


  • Practical. All of the tools and frameworks introduced in the course have been field-tested with corporations and not-for-profit organizations around the world for over a decade. Every session includes at least one self-diagnostic or template to help you translate the course content into specific actions tailored to you and your organization. The course will provide tools and takeaways to help you translate insights into concrete actions when you return to work.
  • Tailored to operating executives. The program introduces a simple framework to identify the leader?s role in execution, as well as data-driven insights to translate their strategy into measurable results. Participants will learn how to effectively structure and guide discussions that are critical to implementation.
  • Systematic and comprehensive. Execution is explored as an iterative process of making sense of the current environment, prioritizing activities and investments, securing commitments and ensuring delivery, and making revisions in light of new information.
  • Based in practical research. The course is grounded in Sull?s research, including dozens of structured experiments that involved structured interventions in companies and that quantified the impact on operational and financial results. A state-of-the art survey uses big data to measure and quantify how well organizations execute their strategy and identify specific areas for improvement.
  • Hands on and interactive. The sessions include a mix of case study discussions, interactive lectures, in-class exercises, and opportunities to learn from peers.

Cambridge, MA

Digital Marketing and Social Media Analytics

July 19-20, 2018

New digital technologies have fundamentally reshaped marketing theory and practice the last decade alone. Technology has changed the modes of communication through which firms engage with consumers. Moore's law has made the storage and analysis of consumer data scalable, creating opportunities for fine-grained behavioral analytics. New monitoring tools have fostered precise and personalized customer relationship management practices. The rise of mobile phones and tablets has enabled location based messaging and reciprocal communication. The ubiquity of video content has promulgated rich, native advertising programs. The global emergence of social networking has enabled networked based predictive modeling and new forms of targeting and referral strategies based on the preferences of consumers' peers. And finally, new social media have brought all of this onto the public stage, with word-of-mouth conversations driving brand awareness and brand loyalty, and user-generated content on review and ratings sites making or breaking demand for products or services.

This two-day course provides a detailed, applied perspective on the theory and practice of digital marketing and social media analytics in the 21st century. We will cover concepts such as the difference between earned and paid media, predictive modeling for ad targeting and customer relationship management, measuring and managing product virality, viral product design, native advertising, and engaging the multichannel experience. Throughout the course we will specifically stress the theory and practice of randomized experimentation, AB testing and the importance of causal inference for marketing strategy.

Topics covered in this course include:

  • Search marketing
  • Social network marketing
  • Social media analytics
  • User generated content management and marketing
  • Mobile advertising and commerce
  • CRM strategy in the age of big data and digital advertising
  • Earned vs paid media
  • Predictive modeling for ad targeting
  • Viral product design
  • The multichannel experience
  • Randomized experimentation
  • A/B testing

Upon completion of this course you should have a fundamental understanding of:

  • The digital advertising ecosystem and attribution and pricing models for digital advertising
  • The fundamentals of web and app analytics and KPIs for web traffic and commerce
  • Search engine marketing, search engine advertising, ad auctions, and strategies for optimizing search engine advertising
  • Social network marketing and social network targeting
  • Predictive analytics using social network data, peer-to-peer marketing and personalized social advertising
  • Targeting and segmentation, specifically demographic targeting and segmentation, behavioral targeting and segmentation, social targeting and segmentation
  • Social listening?analysis of user generated content, reviews, ratings and their effects on consumer demand
  • Mobile commerce and analytics

MIT Campus, Cambridge, Massachusetts

Negotiation for Executives

July 19-20, 2018


Negotiation is a daily practice within business organizations. We negotiate all the time--with clients and partners, vendors and suppliers, supervisors and colleagues, employees and recruits. Successful negotiation requires self-awareness, preparation, and practice. This program addresses all three requirements by providing extensive personalized feedback, tips for efficient pre-negotiation planning, and plenty of opportunities to practice and hone your negotiation skills. Drawing on fundamental negotiation principles based on scientific research as well as specific real-world examples, this program aims to enhance personal gains in negotiation, while simultaneously sustaining important relationships.

The MIT Edge

True to the deeply analytical and quantitative MIT style, the material in this program is based on extensive scientific research by Professor Curhan and his colleagues. Professor Curhan is renowned not only for his engaging interactive teaching style, but also for his pioneering research on the social and psychological components of negotiation. His research includes topics such as: conceptions of fairness, concern for personal integrity, lasting reputations, company loyalty, preference change during the course of a negotiation, norms for appropriate negotiating behavior, and relational dynamics among negotiators who interact multiple times

In this program, participants will learn how to:

* Leverage their own specific personality traits and abilities to boost negotiation outcomes
* Enhance bargaining power to claim a larger share of the pie
* Recognize and resolve different types of issues to create and claim value
* Develop strategies for efficient pre-negotiation preparation
* Build and maintain working relationships without forfeiting economic outcomes
* Deal with difficult tactics

Powerful negotiators are valued at all levels of an organization. If your responsibilities include interacting in some shape or form with others, then this program is for you. Typical participants' areas of expertise tend to include:

* sales and marketing
* planning and development
* operations management
* strategic partnerships
* supply-chain agreements
* recruitment and human resources

Course material is presented in a series of lectures, discussions, and engaging exercises that provide extensive personalized feedback and are designed to teach participants how to leverage their individual traits to achieve success and build lasting relationships at the bargaining table. Prior to the first day of sessions, participants are strongly encouraged to complete a detailed written questionnaire that will better customize the experience for each individual negotiator.

Faculty
Jared Curhan
Ford International Career Development Professor
Associate Professor of Organizations Studies

Professor Curhan specializes in the psychology of negotiation and conflict resolution. A recipient of support from the National Science Foundation, Curhan has pioneered a social psychological approach to the study of "subjective value" in negotiation (i.e., feelings and judgments concerning the instrumental outcome, the process, the self, and the relationship). His current research uses the Subjective Value Inventory (SVI; Curhan et al., 2006) to examine precursors, processes, and long-term consequences of subjective value in negotiation.

Deeply committed to education at all levels, Curhan received MIT's institute-wide teaching award presented annually by the graduate student council. Curhan is founder and president of the Program for Young Negotiators, Inc., an organization dedicated to the promotion of negotiation training in primary and secondary schools. His book, Young Negotiators (Houghton Mifflin, 1998), is acclaimed in the fields of negotiation and education and has been translated into Spanish, Hebrew and Arabic. The book has been used to train more than 35,000 children across the United States and abroad to achieve their goals without the use of violence.

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