# Open Educational Resources

You can follow the links below to sites on which I post a variety of educational resources. Everything from video lecture series to notebooks hosted on Github. Follow the links and never stop learning.

#### My MOOCs on Coursera®

Continue on the my two massive open online courses on Coursera®. The first teaches an intuitive understanding of healthcare statistics and the second using medical data to teach you how to write code in Julia, the scientific computing language.

#### Mathematics lectures on YouTube®

My various video lecture series on YouTube covering a variety of courses in mathematics.

#### Python and Julia lectures on YouTube®

My video lecture series on YouTube covering Python for statistical analysis and the Julia computer language.

#### Jupyter notebooks on Discrete Mathematics

This is a link to my notes on discrete mathematics. These notes are made in downloadable Jupyter notebooks using Python in which I explain both the concepts of discrete mathematics and how to use Python to solve problems. I also add all the PNG images files and even the original Adobe Illustrator files that are used in the notebooks.

#### Jupyter notebooks for MIT 18.06 Linear Algebra

Now, this is very exciting for me. Quite some time ago I first watched the Massachusetts Institute of Technology (MIT) OpenCourseWare (OCW) lectures on Linear Algebra (18.06). In this series the wonderful Gilbert Strang gives a most fantastic introduction to the topic.

I could not resist making my small contribution and created a Jupyter notebook for each of the lectures. I took a chance and contacted Prof Strang to ask permission to make this work available on the web. He immediately replied in the affirmative and I am both thankful and honored. The actual .*ipynb* files are available on my GitHub page.