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Leadership & Innovation for Technology Professionals

January 7 - March 4, 2019

In Leadership & Innovation for Technology Professionals, MIT’s Dr. David Niño helps participants harness the kinetic energy of leadership, empowering them to lead with self-awareness and creativity—the essential building blocks for innovative teams, cultures, and organizations.

Program Benefits
This course supports the development of highly self-aware leaders with the skills and knowledge required to inspire creativity and nurture innovation that improves individual, team and organizational performance and competitive positioning.

PARTICIPANT BENEFITS:
Understand how leadership enables innovation by building strategies, structures and cultures that support creativity

Recognize the links between creativity—a new or useful idea—and innovation, as well as how to execute and adopt creative ideas

Reframe the importance of identifying and defining problems to spur creativity and enable innovation

Increase self-awareness of personal leadership style and its effects on group creativity and innovation that delivers results

Strengthen leadership skills to create sustainable, innovative teams and cultures

Increase effectiveness in building and leading high-performing teams

Articulate visions that inspire others to unleash motivations central to successful innovation

ORGANIZATION BENEFITS:

Gain expertise in creating innovative teams and cultures that enable bold transformation

Increase organizational capacity to make sense of—and effectively leverage—rapid change

Establish a cadre of highly self-aware leaders with the skills and knowledge to lead high-performing, innovative teams and departments

One of a Series: MIT Holidays

MIT Closed - Martin Luther King, Jr. Day

January 21, 2019

Designing Efficient Deep Learning Systems - March session

March 27-28, 2019

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.

One of a Series: MIT Holidays

MIT Closed - Patriots' Day

April 15, 2019

One of a Series: MIT Holidays

MIT Closed - Memorial Day

May 27, 2019

One of a Series: MIT Holidays

MIT Closed - Independence Day

July 4, 2019

Downstream Processing

July 22-26, 2019

Continuing discoveries in molecular biology, genetics, and process science provide the foundation for new and improved processes and products in today's biochemical process industry. The production of therapeutic proteins, which is made possible by discoveries in biotechnology, will generate sales exceeding $100 billion in 2010. In addition, biotechnology has led to marked improvement and expansion in the traditional biochemical process industry for production of enzymes, diagnostics, chemicals, pharmaceuticals, and foods. Continued introduction of new technology necessitates innovation in process development scale-up and design. As a consequence, there is the need to design new, as well as to improve existing, processes. An integral and cost intensive part of these processes is associated with downstream processing for product isolation and purification.

WHO SHOULD ATTEND
The course covers fundamental principles of downstream processing with practical examples and case studies to illustrate the problems and solutions faced by the practitioner. It is intended to provide both insight into and an overview of downstream processing for individuals actively engaged in process research and development, as well as those who manage and innovate in the biochemical process industry. Increasingly, scientists and engineers engaged in fermentation and cell culture development attend the course to better understand the context of the whole process. Attendees include:

* Engineers and scientists interested in design, economics, validation optimization and scale-up of biochemical product recovery;
* Protein biochemists and chemists involved in design of recovery processes;
*Managers responsible for biochemical process development;
* Entrepreneurs, attorneys, and business leaders wanting an overview and insight into biochemical manufacturing.

Fermentation Technology

July 29 - August 2, 2019

Fermentation Technology is the longest-run course in the MIT Professional Education catalog, having been offered continuously for more than 40 years. This course emphasizes the application of biological and engineering principles to problems involving microbial, mammalian, and biological/biochemical systems. The aims of the course are to review fundamentals and provide an up-to-date account of current knowledge in biological and biochemical technology. The lectures will emphasize and place perspectives on biological systems with industrial practices.

This course has made some major additions, modifications, and revisions in the course topics and course contents over the past couple of years. In recognition of the increasing number of attendees from non-pharmaceutical industries, we are rebalancing the course to provide equal emphasis on mammalian and microbial technologies. More than half of the lecturers are currently working in industry or have industrial experience.

The course is intended for engineers, biologists, chemists, microbiologists, and biochemists who are interested in the areas of biological systems in prokaryotic and eukaryotic hosts. It is desirable that individuals enrolled be familiar with some of the general aspects of modern biology, genetics, biochemical engineering, and biochemistry. Some general knowledge of mathematics is also desirable for dealing with the engineering aspects of the course.

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