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Understanding Global Markets: Macroeconomics for Executives (extended)

June 1-3, 2015

This program is an extended version of our popular two-day session Understanding Global Markets: Macroeconomics for Executives which has been offered since 2010. In response to participant interest in additional content on the economic policies and choices of Europe and Asia and the relative success compared to the rest of the world, we are introducing this three-day session. The extra day will allow participants to gain a more thorough understanding of the dynamics of comparative advantage, sources of international conflict and the varied responses of economies to crisis.

Cambridge, MA

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

June 1 - July 31, 2015

Investment Management Theory and Practice is an online course for investment professionals pursuing the prestigious Certified Investment Management Analyst (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.

MIT general map location link

Meditation and Qigong class by Falun Dafa Club

June 1, 2015, 7-8 PM

Learn the meditative practice of Falun Dafa . Followed by the reading of the Zhuan Falun text for those interested.

Maximizing Your Personal Productivity

June 4-5, 2015

"Since the Great Recession, many professionals have been facing more challenging schedules and more daunting to-do lists. This makes it all the more important for professionals to be able to get their work done quickly and effectively."

--Bob Pozen, Faculty Director

Counting the hours you spend at work makes no sense for professionals; their contribution should be judged by what they achieve. Yet so many organizations still bill by the hour, or emphasize face time in the office. Maximizing Your Personal Productivity will show you how to get more done in fewer hours, so you have more time to spend with your family, or in any other activity. It includes many practical suggestions about how to improve your productivity. The program encourages self-evaluation through polls and surveys about your work habits and provides ample opportunities for learning through doing.

Faculty Director Bob Pozen is the former President of Fidelity Investments and Executive Chairman of MFS Investment Management. Bob was first interviewed about his own productivity when he was full time chairman of a large asset manager and carrying a full teaching load at a distinguished university. That interview went viral on the blogs, so he wrote a short book (Extreme Productivity), drawing upon his personal and professional experiences.

Cambridge, MA

Business Dynamics: MIT's Approach to Diagnosing and Solving Complex Business Problems

June 8-12, 2015

Accelerating economic, technological, social, and environmental change challenges executives and policy makers to learn at increasing rates. At the same time, the complexity of the systems in which we live are growing.

To manage effectively in a world of mushrooming complexity, business executives must become systems thinkers. They must learn to expand the boundaries of their mental models and develop modeling tools to understand how the structure of complex systems creates their behavior.

Developed at MIT more than thirty years ago by computer pioneer Jay Forrester, system dynamics modeling is a set of conceptual tools that enable us to build computer simulations of complex issues - management flight simulators. In so doing, we can experience the long-term side effects of decisions, accelerate learning, and design structures and strategies for greater success.

Business Dynamics is an intensive, hands-on introduction to system dynamics modeling with a focus on business and public policy applications. Participants learn to:

* Think systemically and dynamically * Map the structure of complex systems and understand their dynamics * Use state of the art software for modeling and simulation of complex systems * Implement systems thinking and modeling in teams and organizations * Apply lessons from a variety of successful applications

In presentations and workshops, working in teams and using personal computers, participants employ a variety of models and management flight simulators to explore:

* Growth strategy * Supply chain design * Service quality management * Process improvement * Project management and product development

Participants leave the program armed with state-of-the-art simulation software and texts so that they can transform their own organizations.

The Participants

Business Dynamics is for managers, planners, and strategists who work with management teams. The program also benefits administrators of public and not-for-profit organizations, management scientists, educators, and members of the general public interested in the technique. Recent international participants have included general and functional managers of banks, hospitals, schools, telecommunications organizations, health care, and automotive companies as well as faculty. No prior computer experience is necessary, but computers are used as an aid to understanding systems.


Faculty Leader: John D. Sterman, Jay W. Forrester Professor of Management and director of the System Dynamics Group, specializes in systems thinking for corporate and public policy, behavioral decision theory, nonlinear dynamics, and environmental sustainability. His widely used management flight simulators allow people to experience the opportunities and challenges facing top management.

Jay W. Forrester, Germeshausen Professor Emeritus of Management, invented core memory during the first wave of modern digital computers and pioneered the field of system dynamics. His current interests are the System Dynamics National Model, a comprehensive dynamic model of the macro economy; a new management curriculum focusing on a dynamic view of the corporation and its environment, and system dynamics as a methodology to give cohesion, meaning, and motivation to pre-college students.

Nelson Repenning, Associate Professor of Management Science and Organization Studies, studies how process improvement techniques such as "Total Quality Management" and "Business Process Reengineering" can be successful in some organizations but fail in others. His case studies are the basis for models that use both system dynamics and more traditional economic and organizational methods.

Peter Senge, Senior Lecturer and Chairman of the Society for Organizational Learning, studies how firms and other organizations can develop learning capabilities in a world of increasing complexity and rapid change. A founding member of the Society for Organizational Learning, Senge has written the widely acclaimed book, The Fifth Discipline: The Art and Practice of The Learning Organization (1990).

Controlled Release Technology: Delivery Systems for Pharmaceuticals and Other Agents

June 8-12, 2015

The ways in which chemicals or drugs are administered have gained increasing attention in the past two decades. Normally, a chemical is administered in a high dose at a given time only to have to repeat that dose several hours or days later. This is not economical and sometimes results in damaging side effects. As a consequence, increasing attention has been focused on methods of giving drugs continually for prolonged time periods and in a controlled fashion. The primary method of accomplishing this controlled release has been through incorporating the chemicals within polymers. This technology now spans many fields and includes pharmaceutical, food and agricultural applications, pesticides, cosmetics, and household products.

In the pharmaceutical field, in addition to the importance of polymers, an understanding of the physiological barriers in the human body is also critical to developing appropriate controlled release systems. The skin, the gastrointestinal tract, the nose and the eye are of particular importance. Finally, recent advances in genetic engineering have spawned numerous new polypeptide agents and DNA and siRNA. Approaches for delivering and stabilizing these molecules will be discussed.

The lectures, in morning and afternoon sessions, will be presented by faculty members at MIT and other universities who are leaders in the topics to be covered. The lectures are intended to review the recent advances in the art and science of controlled release technology and to assess the prospects and directions of future developments. The program is designed for chemists, chemical engineers, pharmaceutical scientists, and technical managers with an interest in controlled release technology. Scientists in other fields such as food, agricultural, etc., may also benefit from this course.

Formulation and Stabilization of Biotherapeutics

June 8-10, 2015

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

NEW: Machine Learning for Big Data and Text Processing

June 8-12, 2015

NEW COURSE FOR 2015: Machine learning methods drive much of modern data analysis across engineering, sciences, and commercial applications. For example, search engines, recommender systems, advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk. Much of today's data is available in primarily textual form, requiring effective tools for using unstructured and semi-structured text. This course examines a suite of key machine learning tools and their applications, including predictive analysis. We will discuss key insights underlying the tools, what kinds of problems they can/cannot solve, how they can be applied effectively, and what issues are likely to arise in practical applications.

The course is designed to operate simultaneously on two levels, intuitive and more formal, describing key concepts, formulations, algorithms, and practical examples for professionals whose work interfaces data analysis in different ways and on different levels.

  • At the managerial level, the course provides the vision and understanding of the many opportunities, costs, and likely performance hurdles in predictive modeling, especially as they pertain to large amounts of textual (or similar) data.
  • For professionals whose work involves data hands-on, the course aims to provide a deeper understanding and sharper intuitions about what is possible, what is not, and which methods to consider in what contexts.
  • For everyone, the course provides the ability to see problems as machine learning problems and be able to discuss ways to approach them.

Learning Objectives

  1. Understand broad opportunities for automation with machine learning
  2. Be able to formulate/set up problems as machine learning tasks
  3. Outline key aspects of practical problems that are likely to impact performance
  4. Assess which types of methods are likely to be useful for a given class of problems
  5. Understand strengths and weakness of "on-line" learning algorithms
  6. Be able to discuss scaling issues (amount of data, dimensionality, storage, and computation)
  7. See through the process of applying machine learning methods in practice, foresee likely hurdles and possible remedies
  8. Understand modern natural language processing tools, formulations, and problems
  9. Grasp what predictive analytics often does not provide
  10. Understand current machine learning trends and opportunities that they bring