Teaching & AcademicsRSS

The Only Train the Trainer Course You Will Need: In-Person Training, Virtual Training, Beginner Intermediate & Advanced

Algorithms are the heart of computer science, and the subject has countless practical applications as well as intellectual depth. This course is an introduction to algorithms for learners with at least a little programming experience. The course is rigorous but emphasizes the big picture and conceptual understanding over low-level implementation and mathematical details. After completing this course, you will be well-positioned to ace your technical interviews and speak fluently about algorithms with other programmers and computer scientists.

Professor Lada Adamic created the Social Network Analysis MOOC to instruct a diverse audience in a practical way to make sense of the structure and evolution of social networks. This course draws from a broad array of disciplines including sociology, mathematics, computer science, economics and physics in its online interactive demonstrations and hands-on analysis.

A critical, unbiased introduction to using new genomic tools for diagnosing and managing disease.

Information is everywhere: in our words and our world, our thoughts and our theories, our devices and our databases.

Quantum physics is the foundation for much of modern technology, provides the framework for understanding light and matter from the subatomic to macroscopic domains, and makes possible the most precise measurements ever made. More than just a theory, it offers a way of looking at the world that grows richer with experience and practice. Our course will provide some of that practice and teach you "tricks of the trade" (not found in textbooks) that will enable you to solve quantum-mechanical problems yourself and understand the subject at a deeper level.

This course is about building `web-intelligence' applications exploiting big data sources arising social media, mobile devices and sensors, using new big-data platforms based on the 'map-reduce' parallel programming paradigm.

Public Mental Health is the application of the principles of medicine and social science to prevent the occurrence of mental and behavioral disorders and to promote mental health of the population. This course illustrates the principles of public health applied to depressive disorder, including principles of epidemiology, transcultural psychiatry, health services research, and prevention. It is predicted that by 2020 depressive disorder will be the most important cause of disease burden in the entire world!

Learn how to think the way mathematicians do – a powerful cognitive process developed over thousands of years.