Big Theta Θ

Hello World

Big Theta is a new blog with the purpose of aggregating the copious amounts of material that Carlos and I produce on a regular basis.

From our code, proofs, and miscellaneous writings, to formal presentations given through a number of undergraduate clubs, we believe that, with the addition of a bit of formatting standardization and brief corrections, we can collect a large amount of useful high quality content. For more information, please see “about” linked from the home page.

Having made a number of personal websites over the past 10 years (at this point more than 20 separate designs), I have grown to appreciate a configuration which is usable, easy to maintain, and has some sort of aesthetic appeal. To this end, I looked for tools which could help consistently produce high quality content while guaranteeing relative ease of use and infrequency of headaches—never again am I coding each blog post from scratch in HTML and CSS.

Jekyll is an open-source static site generator supported by Github pages, which we leverage to host this blog.

Jekyll is a simple, blog aware, static site generator. It takes a template directory […] and spits out a complete, static website suitable for serving with Apache or your favorite web server. This is also the engine behind GitHub Pages, which you can use to host your project’s page or blog right here from GitHub.

Jekyll can produce some fantastic results in a very short amount of time, especially when combined with any number of freely available themes. Find out more by visiting the project on GitHub or checking out some starting templates.

Moving forward, Carlos and I hope to use this blog as a place to collect our personal projects exploring, in practice, whatever the mathematical flavor of the month is. We hope that you will find it useful and encourage you to check back frequently, sending any thoughts or feedback to

Though we slightly missed the mark of releasing at the beginning of 2016, here’s to a productive new year!

— Lucas Schuermann
Edited by Carlos Martin