Work you complete in the non-credit experience will transfer to the for-credit experience when you upgrade and pay tuition. See How It Works for details. A previous version of Machine Learning: Theory ...

This graduate-level, introductory course provides an overview of the theoretical and practical foundations that inform learning, design, and technology. Course content and activities are designed to ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...

Strong foundations in statistics and probability (at the undergraduate level), multivariate calculus and linear algebra, and good knowledge of a computer programming (C/C++, Python, etc). Interest in ...

Data-driven methodology has attracted much attention recently in the physics community. This is not surprising since one of the fundamental objectives of physics is to deduce or discover the laws of ...

Behaviorism was born from research done by Ivan Pavlov in the late 19th and early 20th centuries. Pavlov’s research into animal digestion led to the recognition that the animals that were being ...

In education, as in psychology, clarity matters. Yet in everyday conversations about teaching and learning, terms like learning theory and pedagogy are often used interchangeably. Phrases such as “We ...