Program overview

The power sector is at a critical juncture. We urgently need to reduce the fossil fuel intensity of our power generation mix and, in many countries, power sector reform can bring other benefits, such as improvements in health and economic growth. In this program, leading academics from Imperial College London, alongside NREL and experts from industry, will explain why and how to clean up the power sector in your country, illustrated with current, real-life case studies and practical advice. Key global figures from the public and private sector add their own personal and professional perspectives to this course.

The Clean Power Program includes best-practice power sector reform policies from the perspectives of legislators, policymakers, the energy sector, investors and civil society. The first course will explain the way that clean power fits into a wider set of political priorities, such as health, technology, energy security, economic growth and the environment, in any country or region. In the second course, the policy landscape for the power sector is described in detail, demonstrating how policies can help stimulate the growth of clean power. The third course outlines the challenges and solutions to integrating different types of power sources into one stable, reliable system.

This program will equip you with the knowledge and tools to create a pro-renewables and investor-ready policy environment in your own region. In a world committed to meeting the climate change goals in the Paris Agreement, you will be well-informed to apply solutions in your own context.Established ten years ago as an Institute of Imperial College London, the Grantham Institute is a world-leading authority on climate change and environmental issues. The Grantham Institute will bring industry and public sector experts from around the world to share their practical and recent experience.

What you will learn

  • How to balance different political priorities to deliver clean power policies
  • What benefits clean power implementation can bring to different countries around the world and, specifically, what they bring in your context
  • What makes a successful, renewables-friendly policy environment
  • How to attract finance for your clean power projects
  • How to deliver secure and affordable clean power
  • How to integrate a high volume of variable renewables into a grid successfully

Program Class List

Meet Your Instructors

Jo Haigh

Professor at Imperial College London
Professor Joanna Haigh has been Co-Director of the Grantham Institute at Imperial College since 2014. For the previous five years she was Head of the Department of Physics. Jo's scientific interests include radiative transfer in the atmosphere, climate modelling, radiative forcing of climate change and the influence of solar irradiance variability on climate. She has published widely on these topics in the scientific literature and contributed to numerous items to the written and broadcast popular media. She is a Fellow of the Royal Society and of the Institute of Physics and an Honorary Fellow of Somerville College Oxford. She has been President of the Royal Meteorological Society, Editor of Quarterly Journal of the Royal Meteorological Society and of the Journal of Atmospheric Sciences, a Lead Author on the Intergovernmental Panel on Climate Change and acted on many UK and international panels.

Kris Murray

Dr at Imperial College London
Kris is an ecologist with interests in global change, conservation and health, working on problems where these key themes are interconnected, including: human health - climate, environmental and social change impacts on infectious disease burdens and distributions, disease emergence, zoonoses, biosecurity risks, health economics; and climate change - influence on ecosystems, biodiversity and health risks In particular, Kris focuses on problems that characterise the impacts of global change, that could also be leveraged for mitigating human impacts and promoting better stewardship of the natural world.

Shane Tomlinson

Mr at Imperial College London
Shane Tomlinson, a Director of E3G, leads work on political economy mapping and overseeing the UK programme. He previously served as the Director of Development at E3G working across the organisation on strategy development, fundraising and the creation of systems for change. Prior to joining E3G Shane was a Senior Research Fellow at Chatham House where he published research on the future of the EU Energy Union, Brexit, stranded assets and the future of the international climate regime. He has also worked as a Policy Adviser in the Prime Minister’s Strategy Unit working on energy policy, sustainable consumption and production issues and the design and launch of the Extractives Industry Transparency Initiative (EITI) at the World Summit on Sustainable Development. Shane holds an MPA from the Woodrow Wilson School at Princeton University, an MSc in Economic History from the London School of Economics and a BSc in Economics and Economic History from the University of Bristol.

Richard Green

Professor at Imperial College London
Richard Green has been studying the economics and regulation of the electricity industry for nearly 30 years. The main focus of his recent work has been on the impact of low-carbon generation (nuclear and renewables) and energy storage on the electricity market, and the business and policy implications of this. He has written extensively on market power in wholesale electricity markets and has also worked on transmission pricing. He has been a professor at Imperial College Business School since 2011. He was previously Professor of Energy Economics and Director of the Institute for Energy Research and Policy at the University of Birmingham, and Professor of Economics at the University of Hull. He started his career at the Department of Applied Economics and Fitzwilliam College, Cambridge. He has spent time on secondment to the Office of Electricity Regulation and has held visiting appointments at the World Bank, the University of California Energy Institute and the Massachusetts Institute of Technology.

Clementine Chambon

Dr at Imperial College London
Clementine Chambon is a researcher in renewable energy technologies for rural electrification. Her interests lie in optimising design and delivery models for decentralised energy systems to reach the most energy-deprived communities in the world. Her current project examines biomass gasification and its application for rural electrification in LED countries. This spans topics such as electricity demand estimation, technological performance of biogasifiers, integration with other generation technologies as part of a hybrid system, and analysing their impact in terms of cost and CO2 mitigation potential. The research findings are directly commercialised through Oorja Development Solutions, a mission-driven company active in deploying solar mini-grids and community solar irrigation systems to provide clean energy access to off- and weak-grid communities in rural India.

Jeff Hardy

Dr at Imperial College London
Dr Jeffrey Hardy is a Senior Research Fellow at the Grantham Institute - Climate Change and the Environment at Imperial College London, where he researches energy market transformation, innovative business models. He is also a Non-Executive Director of Public Power Solutions, a wholly-owned company of Swindon Borough Council specialising in renewable power and waste solutions. Previously he was Head of Sustainable Energy Futures at the GB energy regulator, Ofgem and Head of Science for Work Group III of the Intergovernmental Panel on Climate Change. He’s also worked at the Department of Business, Energy and Industrial Strategy, the UK Energy Research Centre, the Royal Society of Chemistry, the Green Chemistry Group at the University of York and at Sellafield as research chemist in a nuclear laboratory.

Ajay Gambhir

Dr at Imperial College London
Ajay Gambhir is a Senior Research Fellow at the Imperial College London Grantham Institute for Climate Change and the Environment. His research addresses how society can transition to a low-carbon economy, considering the technologies and measures required to do so. He uses energy systems models at sub-national, national, regional and global scales to map out potential low-carbon transition pathways, with a particular focus on the processes that drive down low-carbon technology costs, thereby making their deployment more cost-effective. Ajay has been at Imperial College since 2010, during which time he has been the scientific lead on a number of low-carbon pathways studies for the UK government as part of its AVOIDing dangerous climate change programme. He has also led and participated in ESRC and EPSRC studies on manufacturing innovation for the production of low-cost solar PV modules, energy storage innovation, and rural electrification using solar PV and batteries. Currently he is focusing on the political economy of low-carbon pathways and how to design policies to support an equitable transition. Before joining Imperial College, Ajay was the Team Leader for EU and International Climate Change Economics at the UK Government’s Department of Energy and Climate Change. He has also worked in the UK’s Office for Climate Change, as part of the civil service team that prepared the initial draft of the Climate Change Act 2008, the world’s first climate legislation. He has also worked in the UK Committee on Climate Change, which he helped design and set up as part of his work on the Climate Change Act.

Program overview

The Columbia University Center for Veteran Transition and Integration (CVTI) supports excellence and innovation in transition programming for current and former members of the armed forces.

As a service member in transition, you may face barriers reaching your potential in accessing higher education and beginning meaningful careers, despite the many effective programs offered to this population by the Department of Labor, Department of Defense’s Transition Assistance Program, and other programs offered by the Army, Air Force, Navy, Marine Corps, and Coast Guard. With this in mind, the CVTI is dedicated to creating free courses that will help to break down those barriers to your successful transition. Currently we are offering three courses to meet these demands, with more courses on the way. While these courses are created for veterans and active duty service members, they are free and available for all.

Attaining Higher Education is a course designed to facilitate the successful transition of active duty service members and veterans to postsecondary education, whether at a two- or four-year college for an associate’s or bachelor’s degree, or even graduate school.

University Studies for Student Veterans helps orient veterans to the norms and expectations of the college classroom, along with offering strategies to ease the transition, to help achieve academic goals, and to allow students to optimize their college education.

Find Your Calling: Transition Principles for Returning Veterans will focus on the development of interpersonal, intrapersonal, and intellectual character strengths as they relate to making a successful career transition from military service to the civilian workforce. The course content is meant to provide you with a framework for an iterative process of self-reflection and the development of practical skills that enables you to make career choices that better align with your values, ambitions, and continued service. Ultimately, this course helps you answer the question: What should I do next?

What will you learn

  • General and detailed information about colleges and universities.
  • Foundational academic and study skills for achieving academic success in college.
  • Strategies for more effective reading, writing, test preparation, and time management.
  • Practical tips and strategies for making a successful military-to-civilian career transition.
  • A framework for how to begin thinking about and exploring new career opportunities.

Program Class List

1
Attaining Higher Education

Course Details
Prepare to transition to college using intentional decision-making. Aimed at active duty service members and veterans, with this course you will learn about the college admission process, including financial aid, to help you choose a right-fit college.

2
University Studies for Student Veterans

Course Details
This course helps veterans transition smoothly from military service to college, and helps them maximize their success once they arrive.

3
Find Your Calling: Career Transition Principles for Returning Veterans

Course Details
This course provides military veterans with a useful roadmap to transition more smoothly from military service to a new and meaningful civilian career.

Meet Your Instructors

Beth E. Morgan - Pearson Advance

Beth E. Morgan

Director of Higher Education Transition and Partnerships at Columbia University Born in Quantico, Virginia, Beth grew up in a Marine Corps family and was raised around the world, living for periods of time in Hawaii, Germany, and Korea. Professionally, Beth has worked for the Central Intelligence Agency, for several non-profits, as a consultant, and on staff at major universities throughout the United States, including Colgate University, Princeton University, and the University of Southern California. Prior to joining the Center for Veteran Transition and Integration at Columbia University, Beth worked most recently with the non-profit Service to School as Executive Director and previously directed the Marine Corps Leadership Scholar Program (LSP), both of which assisted transitioning service members and veterans with admission to undergraduate and graduate programs. Beth has a Bachelor of Arts degree from the University of Virginia and a Master of Arts degree from Stanford University.

R.J. Jenkins

Curriculum Designer at Columbia University Before joining the Columbia University Center for Veteran Transition and Integration as a Curriculum Designer in 2016, R.J. served as an Associate Dean of Students at Columbia University’s School of General Studies where he directed the Academic Resource Center and served as the lead instructor for University Studies, a transition course for first-year, non-traditional students. An award-winning teacher, R.J. has advised college students at Columbia, Cambridge, and Harvard Universities, and has taught courses in English and American literature, literary history, close reading, academic skill-building, and English for Speakers of Other Languages. R.J. holds a Bachelor of Arts in English and anthropology from Columbia University (2003), a Master of Letters in English literature from the University of Cambridge (2005), and is currently pursuing doctoral work in English literature.

Skip Bailey

Senior Advisor to the Director of Educational Financing at Columbia University William ”Skip” Bailey has been a financial aid administrator for more than 34 years. He has been managing financial aid for non-traditional students at the School of General Studies (GS) for over 20 years. Previously he administered financial aid at multiple colleges including the University of San Diego and the University of Michigan. A degree in education from Michigan State University and lots of experience has provided Skip with the tools he uses every day to assist students at GS with the myriad issues involved with college financial aid.
Tanya Ang - Pearson Advance

Tanya Ang

Vice President of Veterans Education Success at Columbia University Tanya is the Vice President of Veterans Education Success and has more than 17 years of experience in higher education. She has worked at the American Association of State Colleges and Universities and also served as the Director of Veterans Programs at the American Council on Education. Prior to joining ACE, Tanya worked at two universities including working as an Administrative Analyst for the Vice President of Student Affairs Office at California State University - Fullerton and as Associate Registrar at Vanguard University where most her work focused on the non-traditional student including military and student veterans. She was the certifying official at her institution for student veteran GI Bill benefits and worked hand-in-hand with the various offices on-campus to ensure students received the benefits and the support they needed to successfully navigate their academic career. In her current role, she works to ensure military-connected students have access to high-quality education to achieve their long term career goals. Tanya is the first in her family to graduate from college, and earned her BA in Communications at Biola University and an MA in Organizational Leadership at Vanguard University.

Sara Remedios

Associate Dean of Students at Columbia University Sara is Associate Dean of Students at Columbia University’s School of General Studies where she directs the Academic Resource Center and oversees all academic and learning initiatives. Before coming to Columbia, she worked to restructure the CUNY Pipeline Honors Program, a program dedicated to assisting exceptional undergraduate students from underrepresented backgrounds in gaining admission to doctoral programs. She is also an accomplished teacher. Dean Remedios holds a B.A. in English and political science from Washington University in St. Louis (2009), an M.Phil. in English literature from the City University of New York (2014), and a Ph.D. in English literature from the City University of New York (2016).

Josh Edwin

Senior Assistant Dean of Students at Columbia University Josh is Senior Assistant Dean of Students at Columbia University’s School of General Studies. His teaching experience at Columbia includes University Studies, academic writing classes, one-on-one writing support, and creative writing workshops for veterans. He has also taught at a public high school in Atlanta and an English language school in Seoul, South Korea. In addition to teaching, he has published widely as a poet, translator, and reviewer. He holds a B.A. in English and creative writing from Emory University and an M.F.A. in poetry and literary translation from Columbia University’s School of the Arts.

Michael Abrams

Executive Director - Center for Veteran Transition and Integration, Marine Corps Veteran at Columbia University Michael Abrams joined the Marine Corps shortly following the September 11, 2001 attacks and served on active duty for eight years, which included a deployment to Afghanistan with an infantry company as the artillery forward observer. After leaving active duty, Michael attended New York University’s Stern School of Business graduating with an M.B.A. in Finance and Entrepreneurship & Innovation. While attending business school, he founded FourBlock to help bridge the gap between returning service members and the business community. The program is a university accredited, semester-long course that educates and prepares transitioning veterans for meaningful careers in corporate America. FourBlock is in nearly twenty cities across the country, educating and serving hundreds of transitioning veterans each semester. Michael is now serving as the executive director of the Columbia University Center for Veteran Transition and Integration. The newly established center of excellence is dedicated to creating and supporting evidence-based programming that enables returning service members with reaching their academic and career potential.
William Deresiewicz - Pearson Advance

William Deresiewicz

Best-Selling Author, Award-Winning Essayist at Columbia University William Deresiewicz is an award-winning essayist and critic, a frequent speaker at colleges and other venues, and the best-selling author of Excellent Sheep: The Miseducation of the American Elite and the Way to a Meaningful Life. He taught English at Yale and Columbia before becoming a full-time writer in 2008. Bill has published over 250 essays and reviews. His work has appeared in The New York Times, The Atlantic, Harper's, The Nation, The New Republic, The American Scholar, and many other publications. He has won the Hiett Prize in the Humanities, the Balakian Citation for Excellence in Reviewing, and a Sydney Award; he is also a three-time National Magazine Award nominee. His work has been translated into 17 languages and anthologized in more than 30 college readers. He has spoken at over 80 colleges, high schools, and educational groups and has held visiting positions at Bard, Scripps, and Claremont McKenna Colleges. Bill’s previous book is A Jane Austen Education. He is working on a book about how artists are making a living in the new economy.  

Sheena Iyengar

World-Renowned Expert on Choice, S. T. Lee Professor of Business at Columbia University Professor Iyengar has taught courses in leadership and entrepreneurial creativity. Her research addresses the implications of offering people, whether they be employees or consumers, choices. She has examined choice in a multitude of contexts ranging from employee motivation and performance in a global organization, Citigroup, to chocolate displays at Godiva, to the magazine aisles of supermarkets, and to mutual fund options in retirement benefit plans. Professor Iyengar received the Presidential Early Career Award for her ongoing work in examining cultural, individual, and situational factors that influence people's choice-making preferences and behaviors.

Sebastian Junger

NYT Best-Selling Author, Documentary Filmmaker at Columbia University Sebastian Junger is the #1 New York Times Bestselling author of THE PERFECT STORM, FIRE, A DEATH IN BELMONT, WAR and TRIBE. As an award-winning journalist, a contributing editor to Vanity Fair and a special correspondent at ABC News, he has covered major international news stories around the world, and has received both a National Magazine Award and a Peabody Award. Junger is also a documentary filmmaker whose debut film "Restrepo", a feature-length documentary (co-directed with Tim Hetherington), was nominated for an Academy Award and won the Grand Jury Prize at Sundance.

About this course

This course explores how anyone can be a successful startup entrepreneur or corporate innovator by thoughtfully examining themselves and the business opportunity. By harnessing these insights and cultivating an entrepreneurial spirit, you can create and transform an entrepreneurial idea into a new startup company or corporate venture.

Over 800,000 people have used The Opportunity Analysis Canvas that is the basis of this course. Designed by Dr. James V. Green, the lead faculty for this course, this unique model equips you to identify and analyze a new business opportunity that aligns with your startup entrepreneurship or corporate innovation interests.

The Opportunity Analysis Canvas distills vast amounts of research in psychology, sociology, and business into a practical how-to guide for aspiring and active entrepreneurs and innovators. The course presents a whole new understanding of entrepreneurial mindset and action. The course is structured as a nine-step experience segmented into thinking entrepreneurially, seeing entrepreneurially, and acting entrepreneurially.

What you’ll learn

  • Develop the skills for identifying and analyzing entrepreneurial ideas;
  • Foster thinking entrepreneurially with an awareness of entrepreneurial mindset, entrepreneurial motivation, and entrepreneurial behavior;
  • Cultivate seeing entrepreneurially with attention to industry conditions, industry status, macroeconomic change, and competition; and
  • Champion acting entrepreneurially with an understanding of value innovation and opportunity identification.

Courses in this program

1
Identifying Entrepreneurial Opportunities

Course Details
Learn today’s newest skills and tools for identifying and acting on entrepreneurial opportunities for startup companies and corporate innovations

2
Creating Innovative Business Models

Course Details
Build your capabilities to create a value proposition, team strategy, market strategy, and financial strategy to transform your ideas into a startup company or innovative corporate venture

3
Marketing Innovative Products and Services

Course Details
Learn essential marketing concepts and practical commercialization strategies to bring your new venture to market

4
Financing Innovative Ventures

Course Details
Demystify key financial concepts for creating a financial plan for your new venture to raise the right funding from the right partners at the right time

Meet your instructors

Michael Pratt

Michael Pratt teaches and mentors students in the University of Maryland's Master’s in Technology Entrepreneurship and undergraduate programs. His career spans over 35 years in management and finance, in both domestic and international organizations. In two decades with startups and venture capital, he’s raised over $100 million for eleven different startup. Michael is the co-founder and Managing Partner in Select Venture Partners LLC, an early stage, post-seed/pre-Series A investment management firm. Prior to co-founding Select, he was co-founder and CEO of SpydrSafe Mobile Security, Inc., a mobile application security management platform that safeguarded enterprise data by controlling apps on smartphones and tablets (iOS and Android). SpydrSafe was acquired in February 2014. Prior to SpydrSafe, he was COO of CardStar, Inc., a mobile loyalty company sold to Constant Contact (NASDAQ: CTCT). From 2006 to 2010, Michael was the CFO/COO of Trust Digital, Inc., a venture-backed Mobile Device Management company sold to McAfee (NYSE: MFE). Prior to Trust, he was CFO of Galt Associates, Inc., a venture-backed software company sold to Cerner Corporation (NASDAQ: CERN) in July 2006. His earlier professional experience includes CEO of CrossMedia Networks Corp.; CEO of Point of Care Technologies (sold to Siemens Healthcare in 1999); various senior finance and operating roles with Mobil Corporation, including President and General Manager of three Mobil subsidiaries. Michael began his professional career with Arthur Andersen & Co. Michael holds a BS in Finance from East Carolina University, an MBA from Massey University in New Zealand, and an MS in Marketing from Johns Hopkins University.

Lola Koiki

Lola Koiki is a senior product manager at Capital One with responsibility for leading the development, launch, and commercialization of Emerging Payments, which encompasses U.S. Real-Time Payments, Payment Infrastructure Modernization, and Payments Innovation. She is currently leading Capital One’s effort to join the first new payments clearing system in the United States in over 40 years, while developing an enterprise-wide consistent strategy for faster payment capabilities across the company. In addition to her work at Capital One, she is a partner at PoyntFour, a Product Management and Delivery Consultancy based in the DC area, with a focus on pre-seed to series startups and mid-size government agencies looking to build high efficiency teams. She is also a Lecturer with the University of Maryland’s Maryland Technology Enterprise Institute. In her time at University of Maryland, she has taught over 500 undergraduate students, many of which have gone on to launch new ventures or work in start-ups. She is a graduate of Carnegie Mellon University, with a Masters in Information Systems Management. She holds a BS in Marketing and Supply Chain Management from the University of Maryland. She currently lives in Washington DC and volunteers with organizations in the area, such as The Neighborhood Well, a non-profit focused on helping the unstably housed in the DC Area, and Acts1038, a non-profit focused on education and career development for immigrants to the United States.

James Green

Dr. James V. Green leads the education activities of the Maryland Technology Enterprise Institute as the Director of Entrepreneurship Education. He is responsible for designing and teaching undergraduate and graduate courses in entrepreneurship and technology commercialization, leading seed funding programs, and managing residential entrepreneurship programs for students. He directs the Master of Professional Studies in Technology Entrepreneurship, an innovative online degree program enrolling students worldwide. In 2011, he earned first prize in the 3E Learning Innovative Entrepreneurship Education Competition presented at the United States Association for Small Business and Entrepreneurship (USASBE) annual conference to recognize college educators who have created new and challenging learning activities that actively involve students in the entrepreneurial experience. Dr. Green's research interests include entrepreneurship education and the psychology of entrepreneurship. He is a national presenter on entrepreneurship education with refereed papers and presentations at conferences for the Academy of Management (AOM), the United States Association for Small Business and Entrepreneurship (USASBE), the American Society for Engineering Education (ASEE), and the National Collegiate Inventors and Innovators Alliance (NCIIA). Dr. Green serves as the Editor for the ASEE Entrepreneurship Division and as an evaluator for annual conference submissions. Prior to the University of Maryland, Dr. Green held founder, executive, and operational roles with multiple startups to include WaveCrest Laboratories (an innovator in next-generation electric and hybrid-electric propulsion and drive systems), Cyveillance (a software startup and world leader in cyber intelligence and intelligence-led security), and NetMentors.Org (the first national online career development eMentoring community). Dr. Green earned a Doctor of Management and an MS in Technology Management from the University of Maryland University College, an MBA from the University of Michigan, and a BS in Industrial Engineering from the Georgia Institute of Technology. Connect with Dr. Green on LinkedIn.

Program Overview

This XSeries Program has been designed to influence, empower and educate a wider population to improve the health and healthcare of people with intellectual disability.

Worldwide, 60+ million people with intellectual disability experience poor health, die prematurely and receive inadequate healthcare. You will gain an understanding of the barriers and enablers for people with intellectual disability, their families, and their healthcare providers.

In our courses, you will learn about best practice in the field of intellectual disability healthcare and gain knowledge to improve health outcomes for this disadvantaged group.

What you will learn

  • What is the experience of people with intellectual disability around the world, what barriers do they face, and how do they overcome these?
  • What are their healthcare needs and how can good health be promoted?
  • What health conditions do they commonly experience and how can these be assessed and managed?
  • What influence do other factors such as ageing and epilepsy have on their health?
  • What mental health issues do they have and how can these be recognised and managed?
  • What are some of the ethical and legal issues that are of particular relevance to them?

Program class list

1
Through My Eyes - Intellectual Disability Healthcare around the World

Course Details
Learn, from personal stories, the daily life and challenges faced by those with intellectual disabilities.

2
Well and Able - Improving the Physical Health of People with Intellectual Disability

Course Details
Learn how to help those with intellectual disability achieve better health.

3
Able-Minded - Mental Health and People with Intellectual Disability

Course Details
Gain an understanding of mental health issues and ethical decision-making for people with intellectual disability.

Meet your instructors

Miriam Taylor

Miriam is the former Education Coordinator at the Queensland Centre for Intellectual and Developmental Disability in the School of Medicine at the University of Queensland. She has a wealth of educational design experience for multi-users including people with intellectual disability, their families, disability organisations and health practitioners. Miriam has established an ongoing international collaboration with and is an invited contributor to the first World Disability Report for the World Health Organisation.

Nicholas Lennox

Nick is the former Director of the Queensland Centre for Intellectual and Developmental Disability at the University of Queensland. He is a researcher, educator, advocate and clinician and has specialised in the health of adults with intellectual disability since 1992. He is trained in general practice, and has developed interventions to improve the health of people with intellectual disability.

What you will learn

  • The history of data science, tangible illustrations of how data science and analytics are used in decision making across multiple sectors today, and expert opinion on what the future might hold
  • A practical understanding of the fundamental methods used by data scientists including; statistical thinking and conditional probability, machine learning and algorithms, and effective approaches for data visualization
  • The major components of the Internet of Things (IoT) and the potential of IoT to totally transform the way in which we live and work in the not-to-distant future
  • How data scientists are using natural language processing (NLP), audio and video processing to extract useful information from books, scientific articles, twitter feeds, voice recordings, YouTube videos and much more

Program Class List

1
Statistical Thinking for Data Science and Analytics

Course Details
Learn how statistics plays a central role in the data science approach.

2
Machine Learning for Data Science and Analytics

Course Details
Learn the principles of machine learning and the importance of algorithms.

3
Enabling Technologies for Data Science and Analytics: The Internet of Things

Course Details
Discover the relationship between Big Data and the Internet of Things (IoT).

Meet your instructors

Tian Zheng

About Me

Tian Zheng is associate professor of Statistics at Columbia University. She obtained her PhD from Columbia in 2002. Her research is to develop novel methods and improve existing methods for exploring and analyzing interesting patterns in complex data from different application domains. Her current projects are in the fields of statistical genetics, bioinformatics and computational biology, feature selection and classification for high dimensional data, and network analysis. Especially, Dr. Zheng have been developing statistical and computational tools for high dimensional data, searching for genetic interactions associated with complex human disorders, quantifying social structure and studying hard-to-reach populations using survey questions, with more than 40 peer-reviewed publications in journals including JASA, AOAS and PNAS. Her work was recognized with the 2008 Outstanding Statistical Application Award from the American Statistical Association, The Mitchell Prize from ISBA and a Google research award. She is on the editorial board of Statistical Analysis and Data Mining and Frontier in Genetics. She was Associate Editor for JASA from 2007 to 2013.

Kathy McKeown

About Me

A leading scholar and researcher in the field of natural language processing, McKeown focuses her research on big data; her interests include text summarization, question answering, natural language generation, multimedia explanation, digital libraries, and multilingual applications. Her research group's Columbia Newsblaster, which has been live since 2001, is an online system that automatically tracks the day's news, and demonstrates the group's new technologies for multi-document summarization, clustering, and text categorization, among others. Currently, she leads a large research project involving prediction of technology emergence from a large collection of journal articles. McKeown joined Columbia in 1982, immediately after earning her Ph.D. from University of Pennsylvania. In 1989, she became the first woman professor in the school to receive tenure, and later the first woman to serve as a department chair (1998-2003).

Ansaf Salleb-Aouissi

Ansaf is a Lecturer in discipline of the Computer Science Department at the School of Engineering and Applied Science at Columbia University. She received her her BS in Computer Science in 1996 from the University of Science and Technology (USTHB), Algeria. She earned her masters and Ph.D. degrees in Computer Science from the University of Orleans (France) in 1999 and 2003 respectively.

Cliff Stein

About Me

His research interests include the design and analysis of algorithms, combinatorial optimization, operations research, network algorithms, scheduling, algorithm engineering and computational biology. Professor Stein has published many influential papers in the leading conferences and journals in his field, and has occupied a variety of editorial positions including the journals ACM Transactions on Algorithms, Mathematical Programming, Journal of Algorithms, SIAM Journal on Discrete Mathematics and Operations Research Letters. His work has been supported by the National Science Foundation and Sloan Foundation. He is the winner of several prestigious awards including an NSF Career Award, an Alfred Sloan Research Fellowship and the Karen Wetterhahn Award for Distinguished Creative or Scholarly Achievement. He is also the co-author of the two textbooks. Introduction to Algorithms, with T. Cormen, C. Leiserson and R. Rivest is currently the best-selling textbook in algorithms and has sold over half a million copies and been translated into 15 languages. Discrete Math for Computer Scientists , with Ken Bogart and Scot Drysdale, is a new text book which covers discrete math at an undergraduate level.

David Blei

About Me

David Blei joined Columbia in Fall 2014 as a Professor of Computer Science and Statistics. His research involves probabilistic topic models, Bayesian nonparametric methods, and approximate posterior inference. He works on a variety of applications, including text, images, music, social networks, user behavior, and scientific data. Professor Blei earned his Bachelor's degree in Computer Science and Mathematics from Brown University (1997) and his PhD in Computer Science from the University of California, Berkeley (2004). Before arriving to Columbia, he was an Associate Professor of Computer Science at Princeton University. He has received several awards for his research, including a Sloan Fellowship (2010), Office of Naval Research Young Investigator Award (2011), Presidential Early Career Award for Scientists and Engineers (2011), and Blavatnik Faculty Award (2013).

Itsik Peer

About Me

Itsik Pe’er is an associate professor in the Department of Computer Science. His laboratory develops and applies computational methods for the analysis of high-throughput data in germline human genetics. Specifically, he has a strong interest in isolated populations such as Pacific Islanders and Ashkenazi Jews. The Pe’er Lab has developed methodology to identify hidden relatives — primarily in such isolated populations — that involves inferring their past demography, detecting associations between phenotypes and genetic segments co-inherited from the joint ancestors of hidden relatives, and establishing the exceptional utility of whole-genome sequencing in population genetics. With the arrival of high-throughput sequencing methods, Pe’er has focused on characterizing genetic variation that is unique to isolated populations, including the effects of such variation on phenotype.

Mihalis Yannakakis

About Me

He studied at the National Technical University of Athens (Diploma in Electrical Engineering, 1975), and at Princeton University (PhD in Computer Science, 1979). He worked at Bell Labs Research from 1978 until 2001, as Member of Technical Staff (1978-1991) and as Head of the Computing Principles Research Department (1991-2001). He was Director of Computing Principles Research at Avaya Labs (2001-2002), and Professor of Computer Science at Stanford University (2002-2003). He joined Columbia University in 2004. His research interests include design and analysis of algorithms, complexity theory, combinatorial optimization, game theory, databases, and modeling, verification and testing of reactive systems.

Peter Orbanz

About Me

Before coming to New York, he was a Research Fellow in the Machine Learning Group of Zoubin Ghahramani at the University of Cambridge, and previously a graduate student of Joachim M. Buhmann at ETH Zurich. His main research interests are the statistics of discrete objects and structures: permutations, graphs, partitions, and binary sequences. Most of his recent work concerns representation problems and latent variable algorithms in Bayesian nonparametrics. More generally, he is interested in all mathematical aspects of machine learning and artificial intelligence.

Fred Jiang

Assistant Professor in the Electrical Engineering Department at Columbia University
Fred received his B.Sc. (2004) and M.Sc. (2007) in Electrical Engineering and Computer Science, and his Ph.D. (2010) in Computer Science, all from UC Berkeley. Before joining SEAS, he was Senior Staff Researcher and Director of Analytics and IoT Research at Intel Labs China. Fred’s research interests include cyber physical systems and data analytics, smart and sustainable buildings, mobile and wearable systems, environmental monitoring and control, and connected health & fitness. His ACme building energy platform has been widely adopted by universities and industries, including Lawrence Berkeley National Laboratory, National Taiwan University, and several commercial companies. His project on wearable and mobile fitness, in collaboration with University of Virginia, was featured on New Scientist and the Economist magazine. His air-quality monitoring project has been featured on China Central Television and People’s Daily, and was successfully incubated into a startup. He is actively serving on several technical and organizing committees including ACM SenSys, ACM/IEEE IPSN, and ACM BuildSys. He was a National Science Foundation (NSF) Graduate Fellow and a Vodafone-US Foundation Fellow.

Julia Hirschberg

Percy K. and Vida LW Hudson Professor of Computer Science at Columbia University
Julia Hirschberg does research in prosody, spoken dialogue systems, and emotional and deceptive speech. She received her PhD in Computer Science from the University of Pennsylvania in 1985. She worked at Bell Laboratories and AT&T Laboratories -- Research from 1985-2003 as a Member of Technical Staff and as a Department Head, creating the Human-Computer Interface Research Department at Bell Labs and moving with it to AT&T Labs. She served as editor-in-chief of Computational Linguistics from 1993-2003 and as an editor-in-chief of Speech Communication from 2003-2006. She is on the Editorial Board of Speech Communication and of the Journal of Pragmatics. She was on the Executive Board of the Association for Computational Linguistics (ACL) from 1993-2003, have been on the Permanent Council of International Conference on Spoken Language Processing (ICSLP) since 1996, and served on the board of the International Speech Communication Association (ISCA) from 1999-2007 (as President 2005-2007). She is currently the chair of the ISCA Distinguished Lecturers selection committee. She is on the IEEE SLTC, the executive board of the North American chapter of the Association for Computational Linguistics, the CRA Board of Directors, and the board of the CRA-W. She has been active in working for diversity at AT&T and at Columbia. She has been a fellow of the American Association for Artificial Intelligence since 1994, an ISCA Fellow since 2008, and became an ACL Fellow in the founding group in 2012. She received a Columbia Engineering School Alumni Association (CESAA) Distinguished Faculty Teaching Award in 2009, received an honorary doctorate (hedersdoktor) from KTH in 2007, is the 2011 recipient of the IEEE James L. Flanagan Speech and Audio Processing Award and, also received the ISCA Medal for Scientific Achievement in the same year.

Michael Collins

Vikram S. Pandit Professor of Computer Science at Columbia University
Michael J. Collins is a researcher in the field of computational linguistics. His research interests are in natural language processing as well as machine learning and he has made important contributions in statistical parsing and in statistical machine learning. One notable contribution is a state-of-the-art parser for the Penn Wall Street Journal corpus. His research covers a wide range of topics such as parse re-ranking, tree kernels, semi-supervised learning, machine translation and exponentiated gradient algorithms with a general focus on discriminative models and structured prediction.

Shih-Fu Chang

Richard Dicker Chair Professor at Columbia University
Shih-Fu Chang’s research interest is focused on multimedia retrieval, computer vision, signal processing, and machine learning. He and his students have developed some of the earliest image/video search engines, such as VisualSEEk, VideoQ, and WebSEEk, contributing to the foundation of the vibrant field of content-based visual search and commercial systems for Web image search. Recognized by many best paper awards and high citation impacts, his scholarly work set trends in several important areas, such as compressed-domain video manipulation, video structure parsing, image authentication, large-scale indexing, and video content analysis. His group demonstrated the best performance in video annotation (2008) and multimedia event detection (2010) in the international video retrieval evaluation forum TRECVID. The video concept classifier library, ontology, and annotated video corpora released by his group have been used by more than 100 groups. He co-led the ADVENT university-industry research consortium with the participation of more than 25 industry sponsors. He has received IEEE Signal Processing Society Technical Achievement Award, ACM SIGMM Technical Achievement Award, IEEE Kiyo Tomiyasu award, IBM Faculty award, and Service Recognition Awards from IEEE and ACM. He served as the general co-chair of ACM Multimedia conference in 2000 and 2010, Editor-in-Chief of the IEEE Signal Processing Magazine (2006-8), Chairman of Columbia Electrical Engineering Department (2007-2010), Senior Vice Dean of Columbia Engineering School (2012-date), and advisor for several companies and research institutes. His research has been broadly supported by government agencies as well as many industry sponsors. He is a Fellow of IEEE and the American Association for the Advancement of Science.

Zoran Kostic

About Me

Zoran Kostic completed his Ph.D. in Electrical Engineering at the University of Rochester and his Dipl. Ing. degree at the University of Novi Sad. He spent most of his career in industry where he worked in research, product development and in leadership positions. Zoran's expertise spans mobile data systems, wireless communications, signal processing, multimedia, system-on-chip development and applications of parallel computing. His work comprises a mix of research, system architecture and software/hardware development, which resulted in a notable publication record, three dozen patents, and critical contributions to successful products. He has experience in Intellectual Property consulting. Dr. Kostic is an active member of the IEEE, and he has served as an associate editor of the IEEE Transactions on Communications and IEEE Communications Letters.

Andrew Gelman

Andrew Gelman is a professor of statistics and political science and director of the Applied Statistics Center at Columbia University. He has received the Outstanding Statistical Application award from the American Statistical Association, the award for best article published in the American Political Science Review, and the Council of Presidents of Statistical Societies award for outstanding contributions by a person under the age of 40. Andrew has done research on a wide range of topics, including: why it is rational to vote; why campaign polls are so variable when elections are so predictable; why redistricting is good for democracy; reversals of death sentences; police stops in New York City, the statistical challenges of estimating small effects; the probability that your vote will be decisive; seats and votes in Congress; social network structure; arsenic in Bangladesh; radon in your basement; toxicology; medical imaging; and methods in surveys, experimental design, statistical inference, computation, and graphics.
David Madigan - Pearson Advance

David Madigan

David Madigan received a bachelor’s degree in Mathematical Sciences and a Ph.D. in Statistics, both from Trinity College Dublin. He has previously worked for AT&T Inc., Soliloquy Inc., the University of Washington, Rutgers University, and SkillSoft, Inc. He has over 100 publications in such areas as Bayesian statistics, text mining, Monte Carlo methods, pharmacovigilance and probabilistic graphical models. He is an elected Fellow of the American Statistical Association and of the Institute of Mathematical Statistics. He recently completed a term as Editor-in-Chief of Statistical Science.

Lauren Hannah

Lauren Hannah is an Assistant Professor in the Department of Statistics at Columbia University. Dr. Hannah received a Ph.D. in Operations Research and Financial Engineering from Princeton University, and an A.B. in Classics, again from Princeton University. After completing her Ph.D., Dr. Hannah completed a postdoc at Duke in the Statistical Science Department. Her interests include machine learning, Bayesian statistics, and energy applications.

Eva Ascarza

Eva Ascarza is an Assistant Professor of Marketing at Columbia Business School. She is a marketing modeler who uses tools from statistics and economics to answer marketing questions. Her main research areas are customer analytics and pricing in the context of subscription businesses. She specializes in understanding and predicting changes in customer behavior, such as customer retention and usage. Another stream of her research focuses on developing statistical methodologies to be used by marketing practitioners. She received her PhD from London Business School (UK) and a MS in Economics and Finance from Universidad de Navarra (Spain).

James Curley

About Me

Dr. Curley has very broad interests in behavioral development. He has conducted and published research at molecular, systems, organismal and evolutionary levels of analysis in both animals and humans. The focus of Dr. Curley’s lab at Columbia is on the development of social behavior. Dr. Curley is interested in how both inherited genetic variability and social experiences during development can shift individual differences in various aspects of social behavior and what the neuroendocrinological basis of these differences may be. He also researches the reliability and validity of social behavioral tests conducted in the laboratory and whether it is possible to utilize alternative statistical and methodological approaches to more appropriately assess social behavior. Dr Curley believes that it is critical to understand how the 'social brains' of humans and other animals have been differentially shaped by evolution and to acknowledge how this should better inform translational research.

Program overview

Want to learn about circuits and electronics? Wondering how the electronics behind sensors and actuators works, or how to make computers run faster, or your mobile phone battery last longer? This series of circuits and electronics courses taught by edX CEO and MIT Professor Anant Agarwal and colleagues is for you.

These online Circuits & Electronics courses are taken by all MIT Electrical Engineering and Computer Science (EECS) majors.

Topics covered include: circuit abstraction, circuit elements such as resistors and sources, signals, and networks; circuit design and circuit analysis methods; digital abstraction, digital logic, and basic digital design; electronic devices including MOSFETs, digital switches, amplifiers; Energy storage elements like capacitors and inductors; dynamics of first-order and second-order networks and circuit speed; design in the time and frequency domains; op-amps, filters, and analog and digital circuits, signal processing, and applications. Design and lab exercises are also significant components of the XSeries program.

Weekly coursework includes interactive video sequences, readings from the textbook, homework, fun online laboratories, and optional tutorials. Each course will also have a final exam.

These are self-paced courses, so there are no weekly deadlines.

What you will learn

  • How to design and analyze circuits using both intuition and mathematical analysis
  • How to construct simple digital circuits and improve their speed
  • How to construct and analyze filters and their frequency response using capacitors and inductors
  • Design circuits applications using MOS transistors and operational amplifiers
  • How to measure circuit variables using tools such as virtual oscilloscopes, virtual multimeters, virtual frequency analyzers, and virtual signal generators
  • Compare the measurements of the circuit variables with the behavior predicted by mathematical models and explain the discrepancies

Program Class List

1
Circuits and Electronics 1: Basic Circuit Analysis

Course Details
Learn techniques that are foundational to the design of microchips used in smartphones, self-driving cars, computers, and the Internet.

2
Circuits and Electronics 2: Amplification, Speed, and Delay

Course Details
Learn how to speed up digital circuits and build amplifiers in the design of microchips used in smartphones, self-driving cars, computers, and the Internet.

3
Circuits and Electronics 3: Applications

Course Details
Learn about cool applications, op-amps and filters in the design of microchips used in smartphones, self-driving cars, computers, and the internet.

Meet Your Instructors

Anant Agarwal

CEO and Professor of Electrical Engineering and Computer Science, MIT at edX
CEO of edX and Professor of Electrical Engineering and Computer Science at MIT. His research focus is in parallel computer architectures and cloud software systems, and he is a founder of several successful startups, including Tilera, a company that produces scalable multicore processors. Prof. Anant won the Maurice Wilkes prize for computer architecture, and MIT's Smullin and Jamieson prizes for teaching. He is also the 2016 recipient of the Harold W. McGraw, Jr. Prize for Higher Education, which recognized his work in advancing the MOOC movement. Additionally, he is a recipient of the Padma Shri award from the President of India and was named the Yidan Prize for Education Development Laureate in 2018. He holds a Guinness World Record for the largest microphone array, and is an author of the textbook "Foundations of Analog and Digital Electronic Circuits."

Gerald Sussman

Professor, Electrical Engineering at MIT
Professor of Electrical Engineering at MIT. He is a well known educator in the computer science community, perhaps best known as the author of "Structure and Interpretation of Computer Programs," which is universally acknowledged as one of the top ten textbooks in computer science, and as the creator of Scheme, a popular teaching language. His research spans a range of topics, from artificial intelligence, to physics and chaotic systems, to supercomputer design.
Piotr Mitros - Pearson Advance

Piotr Mitros

Former Chief Scientist at edX
Chief Scientist of edX and Research Scientist at MIT. His research focus is in finding ways to apply techniques from control systems to optimizing the learning process. He has worked as an analog designer at Texas Instruments, Talking Lights, and most recently, designed the analog front end for a novel medical imaging modality for Rhythmia Medical.
Chris Terman - Pearson Advance

Chris Terman

Senior Lecturer, Electrical Engineering and Computer Science at MIT
A Senior Lecturer in the MIT Department of Electrical Engineering and Computer Science, Chris has been an award-winning lecturer for this course on campus since 1995. He has four decades of experience as a teacher, digital systems designer and courseware developer. Chris’ recent research is focused on educational technologies for teaching design skills.

Bonnie Lam

Graduate student, Electrical Engineering and Computer Science at MIT
Graduate student in the Department of Electrical Engineering and Computer Science at MIT. Her research interests are digital design methodologies for low-power applications, and she is currently studying low-power techniques for ultrasound imaging. She received her Bachelor of Applied Science (B.A.Sc.) degree in Engineering Physics (Electrical Engineering Option) at the University of British Columbia in 2008 and her Masters of Science (S.M.) degree in Electrical Engineering and Computer Science from Massachusetts Institute of Technology in 2010.

“Brilliant course! It’s definitely the best introduction to electronics in Universe! Interesting material, clean explanations, well prepared quizzes, challenging homeworks and fun labs.”

Ilya

“6.002x will be a classic in the field of online learning. It combines Prof. Agarwal’s enthusiasm for electronics and education. The online circuit design program works very well. The material is difficult. I took the knowledge from the class and built an electronic cat feeder.”

Stan

“Brilliant course! It’s definitely the best introduction to electronics in Universe! Interesting material, clean explanations, well prepared quizzes, challenging homeworks and fun labs.”

Ilya

“6.002x will be a classic in the field of online learning. It combines Prof. Agarwal’s enthusiasm for electronics and education. The online circuit design program works very well. The material is difficult. I took the knowledge from the class and built an electronic cat feeder.”

Stan