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Cambridge, MA

Advanced Management Program

May 31 - July 1, 2016

The Advanced Management Program (AMP) is an intense, intimate, transformative learning experience designed to fit the time constraints of seasoned, mid-career executives. This senior executive program is selective and purposely limited to 25 participants who seek “something beyond an MBA” and are willing to create and sustain a learning community.

Held on campus at MIT Sloan in Cambridge, Massachusetts, AMP is an exceptional way to:

Engage with MIT Sloan's world-class faculty around both their latest research in advanced management tactics and the “tried and true” in such areas as strategy, system dynamics, and innovation
Make new, life-long connections with experienced business people from a wide variety of geographies
Leverage multiple perspectives to advance an important business project away from day-to-day operating pressures
Develop critical leadership and change management skills via individualized 360° feedback and coaching
See new ideas emerging from the labs, centers, and businesses that are part of the MIT/Sloan/Cambridge “innovation cluster.

Investment Management Theory and Practice: A CIMA Certification Registered Education Program (online)

June 1 - July 29, 2016

Investment Management Theory and Practice is an online course for investment professionals pursuing the prestigious CIMA certification. Candidates take this course entirely online over a 60-day period immediately preceding a CIMA certification exam testing window. There is no need to travel or spend a week out of the office as this course was built with busy schedules in mind. Participants may study at any time they choose (i.e., weekends, evenings or during the day).

This course, led by industry pioneer Andrew Lo and financial certification specialist Jim Dobbs, includes comprehensive coverage of the topics and learning objectives found in the CIMA Certification Exams Detailed Content Outline (aka: core topics list). This course has been developed to help you better understand the concepts, calculations, and applications found in the CIMA core topics list; help you prepare for and pass the MIT course exam and CIMA certification exam; and help you take your practice to the next level.

Investment Management Theory and Practice walks you through the core topics and learning objectives found in the CIMA certification curriculum line-by-line. This online course uses several learning methods to help participants succeed including: classroom lecture videos, learning modules, exercises and applications, quizzes and a sample test.

Topic coverage includes: ethics and regulation, a review of financial fundamentals (including statistics, time value of money, and economic analysis), risk management, performance measurement and analysis, traditional and alternative investments, portfolio theory and models, behavioral finance, and the investment consulting process (including client discovery, investment policy, portfolio construction and management, manager search and selection, and portfolio review).

This online course reviews financial and investment concepts, theories, models, and strategies. Participants will develop the skills and resources needed to build and manage successful investment portfolios. The faculty team help participants navigate the complex and sometimes confusing world of investment thought and application. Participants will learn to develop investment strategies and portfolios based on client goals and objectives, time horizon, and risk tolerance.

Successful completion of this course satisfies the CIMA certification education requirement.

For more information please contact program director, Jim Dobbs, at cimainfo@mit.edu

Building 32 Map

Robust Estimators in High Dimensions without the Computational Intractability

June 1, 2016, 4-5 PM

Jerry Li
MIT CSAIL

Host: Pritish Kamath and Akshay Degwekar
Host Affiliation: MIT CSAIL

Abstract:
We study high-dimensional distribution learning in an agnostic setting where an adversary is allowed to arbitrarily corrupt an $\varepsilon$-fraction of the samples. Such questions have a rich history spanning statistics, machine learning and theoretical computer science. Even in the most basic settings, the only known approaches are either computationally inefficient or lose dimension-dependent factors in their error guarantees. This raises the following question: is high-dimensional agnostic distribution learning even possible, algorithmically?

In this talk, we present the first computationally efficient algorithms with dimension-independent error guarantees for agnostically learning several fundamental classes of high-dimensional distributions: (1) a single Gaussian, (2) a product distribution on the hypercube, (3) mixtures of two product distributions (under a natural balancedness condition), and (4) mixtures of spherical Gaussians. Our algorithms achieve error that is independent of the dimension, and in many cases scales nearly optimally with the fraction of adversarially corrupted samples. Moreover, we develop a general recipe for detecting and correcting corruptions in high-dimensions, that may be applicable to many other problems.

Based on joint work with Ilias Diakonikolas, Gautam Kamath, Daniel Kane, Ankur Moitra, and Alistair Stewart

Cambridge, MA

Building Game-Changing Organizations: Aligning Purpose, Performance, and People

June 6-7, 2016


Game-changing organizations rewrite traditional playbooks. They stand out. They often create disproportionate value relative to their size and resources. They have big dreams but know how to get things done. These organizations have a palpable "buzz" to them. They have a breakaway business model, but they also have a breakaway spirit and organizational culture.

Leaders of these game-changing organizations understand the power and importance of telling their companies' compelling stories. They are hard-edged business leaders but they also embrace what others might consider to be the "soft side" of leading: purpose, vision and climate. They know how to integrate the hard and soft sides of leadership into a powerful formula that makes them game-changers. These leaders, and their organizations are: purpose-driven; performance-oriented; and principles-led. The weaving together of these three capabilities simultaneously is what helps them get and stay out in front.

Participants in this new program will learn what it takes to build game-changing organizations that make their teams and areas of responsibility world-class talent factories. They will also discuss the importance of building an authentic and energizing culture, and learn from the successes and challenges of various companies that have been on similar journeys of transformation.

Cambridge, MA

Strategy in a Global World

June 6-7, 2016

This program is based on a new view of the world and how business at all levels must work in the context of a globalized world. The global world is no longer simply a source of new markets or cost factor savings; it is a source of innovation. Companies must expand their focus beyond the traditional views of the world to truly developing a wider vision that encompasses all aspects of being a global organization capable of developing and delivering a proposition that takes advantage of global integration to create value from and for the world.

Why did global integration turn into a strategic imperative for so many industries and companies over the last couple of decades? Why is it so challenging for existing, established multinational companies?

This program addresses how the current world makes a big difference for internationalization and a global strategy, and why incumbent multinationals and emergent multinationals have fared so differently in the dire straits of the new, global(ized) world. Strategy in a Global World provides a systemic approach to strategy and the relentless quest for discovering "why and how," not just "what."

Many participants attend this program along with Understanding Global Markets

Understanding and Solving Complex Business Problems

June 6-7, 2016

This program will introduce participants to "systems thinking" as a response to the rapid changes in technology, population, and economic activity that are transforming the world, and as a way to deal with the ever increasing complexity of today's business. Systems thinking was devised to improve people's ability to manage organizations comprehensively in a volatile global environment. It offers managers a framework for understanding complex situations and the dynamics those situations produce. Senior managers can use the system dynamics method to design policies that lead their organizations to high performance. The program is intended to give participants the tools and confidence to manage organizations with full understanding and solid strategy.

Participants will experience the Beer Game, a table game, developed by Jay Forrester. Played with pen, paper, printed plastic tablecloths, and poker chips, it simulates the supply chain of the beer industry. In so doing, it illuminates aspects of system dynamics, a signature mode of MIT thought: it illustrates the nonlinear complexities of supply chains and the way individuals are circumscribed by the systems in which they act.

The program will offer a new way of thinking about and resolving complex, persistent problems that emerge from change. Applying organization theory along with intuitive principles of feedback control, participants will learn to:

  • Assess the likely impact of different policies and decisions that relate to their organization's growth, stability, and performance
  • Recognize business system archetypes that can trigger persistent, long-term problems
  • Use state-of-the-art management tools to identify relationships
  • Intervene effectively to make fundamental changes

Build a Small Radar System

June 6, 2016 to June 10, 2016

Are you interested in learning about radar by building and testing your own imaging radar system?

MIT Professional Education is offering a course in the design, fabrication, and testing of a laptop-based radar sensor capable of measuring Doppler and range and forming synthetic aperture radar (SAR) imagery. Lectures will be presented on the topics of applied electromagnetics, antennas, RF design, analog circuits, and digital signal processing while simultaneously building your own radar system and performing field experiments. Each student will receive a radar kit designed by MIT Lincoln Laboratory staff and a course pack.

This course will appeal to those who want to learn how to develop radar systems or SAR imaging, use radar technology, or make components or sub-systems.

During the course you will bring your radar kit into the field and perform experiments such as measuring the speed of passing cars or plotting the range of moving targets. A SAR imaging competition will test your ability to form a SAR image of a target scene of your choice from around campus.

Who Should Attend

This course is targeted for engineers and scientists who plan to design radars; use radar systems in a product or as the final product; work on radar systems, components, or subsystems; or are interested in using radar systems for observation of physical phenomena. Students will learn how radar systems work by attending lectures, building their own radar set, and acquiring radar data in the field. Those who should attend include:

  • Developers of radar systems or components
  • Users of radar technology
  • Purchasers of radar technology such as automotive and government organizations
  • Commercial enterprises seeking to use or add radar technology to their product, or develop a radar-based product
  • Defense industry or government personnel who want to learn how radar and SAR imaging works
  • Defense industry or government supervisors seeking to quickly educate employees
  • Unmanned vehicle or robot developers seeking to use radar sensor packages
  • Scientists who are interested in using radar technology for the observation of nature

You do not have to be a radar engineer but it helps if you have at least a bachelor?s degree in electrical engineering or physics and are interested in any of the following: electronics, electromagnetics, signal processing, physics, or amateur radio. It is recommended that you have some familiarity with MATLAB. Each student is required to bring a laptop (with a stereo-audio input) with MATLAB, because this will be used for data acquisition and signal processing.

Discrete Choice Analysis: Predicting Demand and Market Shares

June 6-10, 2016

This one-week program undertakes an in-depth study of discrete choice models (logit, nested logit, generalized extreme value, probit, logit mixtures), data collection, specification, estimation, statistical testing, forecasting, and application. The covered topics include analysis of revealed and stated preferences data, sampling, and simulation-based estimation, discrete panel data, Bayesian estimation, discrete-continuous models, menu choice, and models with latent variables. The course includes practical application sessions where participants will be provided with discrete choice software to learn how to estimate and test discrete choice models taught in lecture using real databases, and gain hands on experience in using new discrete choice techniques for practical applications. By examining actual case studies of discrete choice methods, students will be familiarized with problems of model formulation, testing, and forecasting.

Discrete choice models are widely used for the analysis of individual choice behavior and can be applied to choice problems in many fields such as economics, environmental management, urban planning, etc. For example, discrete choice modeling is used in marketing research to guide product positioning, pricing, product concept testing, and many other areas of strategic and tactical interest. Recent applications to predict changes in demand and market shares include areas such as choice of travel mode, coffee brand, telephone service, soft drinks and other foods, and choice of durables such as automobiles, air conditioners, and houses.

Who Should Attend

This program is intended for academics and professionals interested in learning new discrete choice techniques and how to predict choice and forecast demand. They will gain hands-on experience in applying discrete choice software in real-world case studies. Participants need only have a basic working knowledge of statistical methods.

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