I am a mathematician and computer scientist with huge interest in basically all things "sciency". Currently I am working on startup projects and as a data science consultant. If you have an interesting data science project where I might be of help to you, please feel free to contact me . You can find my CV below.
This is a list of the published works I have produced so far (research papers and theses). They are ordered by the most recent first.
Probably one of the greatest recent innovations in the world of education are flipped classroom teaching and massive open online courses (MOOCs). I never really got the concept of a lecturer repeating the same material every year (too often with a decrease in quality and engagement going hand in hand with an increase in age of the teacher). Finally people have started to make a sensible move and create videos of their teaching - and what is even better, many of them are putting these materials online, often for free.
By now there are a couple of platforms hosting online lectures (some free, some paid):
Below is a list of some courses I attended. I also provide a short impression that I got from the course. Of course these are based on the course material that was available when I attended, so these statements do a) reflect the course at the time I took it and b) are my subjective opinions.
Taught by: Armando Fox & David Patterson (UC Berkeley)
Brief description: the course is a tour de force through many disciplines of software engineering. It covers user stories, test driven development, agile techniques, working with legacy code, and many more things that are often left out in academical education but are so crucial to being a good programmer. In fact I would say that this was the course that transformed me from a shitty hacker into a proud and proper software engineer.
Taught by: Jennifer Widom (Stanford University)
Brief description: in depth course about the theory and practice of (mainly relational) databases, also covering data formats like XML and JSON. After this course you will have a good background knowledge to create data models and setup databases on your own.
Taught by: Umesh Vazirani (UC Berkeley)
Brief description: the course gives a good background about the mathematics behind quantum mechanics and the concepts needed to understand qubits and quantum algorithms. It is very challenging as the subject is not an easy one, but given the complexity of the topic I think the course does a very good job in giving you all the necessary means to understand the material. I definitely gained a lot of insight into this amazing world that somehow governs how reality works but is still so far from our everyday experience. I would love to see quantum computing turning into real life applications within my lifetime.
Taught by: Caspar Hare (Massachusetts Institute of Technology)
Brief description: the course covers some basic philosophical concepts: how to build logical arguments, what it means to know something, whether it is possible to know things, what is consciousness and what it means to have free will. It gives a good overview of these topics and encourages to think about these fundamental concepts. I very much liked the course.
Taught by: Hannes Leitgeb & Stephan Hartmann (LMU München)
Brief description: the course covers some more mathematical aspects of philosphuy (or more philosophical aspects of mathematics). It consists of several formal problems and paradoxes like the Zeno Paradox, the Monty Hall problem and the theory of voting around Arrows Theorem. As it does not require a mathematical background it is well suited for beginners but as the covered topics are often quite capturing it is still interesting for someone with a math major.
Taught by: Chuck Eesley (Stanford University)
Brief description: the course gives a basic introduction into business model creation, evaluation of market potential and entrepreneurial planning in general. It very much follows the lean start up mentality and focuses very much on team assignments and communication within the course community. Most material did not go much in depth but the course is a proper overview for people new in the entrepreneurship world.
Taught by: Christian Terwiesch (University of Pennsylvania)
Brief description: this course gives an introduction into basic topics of operations management like queuing theory and calculation of batch sizes. With a background in mathematics most of these materials are very trivial calculations but it is interesting to see some of the applications and to get some understand of how and when certain methods can be applied in practice.
Taugh by: Tucker Balch (Georgia Institute of Technology)
Brief description: the course explains some methods for evaluating portfolios and for creating models for financial markets. It did not go much in depth and the covered material was not very advanced. Furthermore the whole course was more of a work in progress and did not just lack some polishing. Overall I think this course did not provide much knowledge for me.
I could not find a working link to a current course offering; link to my Statement of Accomplishment.
This page is my little bit of internet real estate which I try to slowly expand, depending on the time I can spare. It was created using the awesome Middleman Gem and is just a collection of static pages (go on, try your DoS attack).