Short essays, ideas, events, notes

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Most people openly hate mathematics. I did that too, before university. The question is why? I think it is often taught badly. Once grades are involved, it is very difficult to get it right. One thing changed when I turned from a hater to a fan of math. I realized that there was a storyline in most examples. So, maybe we could put the narrative back. As a little example, here is a story of the quadrative formula.


…long sequence of causal links, chain reactions, domino effect, deliberate complexity, previous events setting up the conditions for the actions happening later… Rube Goldberg machines, falling dominoes, Pitagora Suichi devices - somehow these are fascinating to watch. I had to do a bit of research (due to family entertainment needs) and not surprisingly there are lots of amazing contraptions documented all over the net. Watching through many videos of marbles rolling just into the right spot exactly at the right moment it felt oddly familiar.



Peer reviewed journal papers, book chapters, conference proceedings

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. Maximum likelihood estimates of pairwise rearrangement distances. Journal for Theoretical Biology 10.1016/j.jtbi.2017.04.015, 2017.



Due to the rapid changes in our technological societies the aims of teaching and the teaching process itself need to be rethought again and again. The response is twofold: 1. fast moving, rapidly deployed courses and 2. focusing on core knowledge versus ephemeral ideas and technologies. The challenge is that these two requirements might be in conflict.

Currently I teach at Akita International University.

Courses I designed

  • Poetry of Programming - puzzle based introduction to functional programming (MAT245). Course Information.

  • Mathematics for the digital world (MAT240 Mathematics behind the technological society). Syllabus

More traditional courses

  • Calculus (MAT250) Single variable calculus up to the Fundamental Theorem of Calculus. Syllabus

  • College Algebra (MAT150) From set theory up to $e^{\pi i}+1=0$.

  • Statistics (MAT200)

Previous courses

at Western Sydney University

  • Social Web Analytics

  • Computational Complexity

  • Discrete Mathematics

  • Differential Calculus

  • Semigroup Theory, Representation Theory (graduate courses)

at Eszterházy Károly University

  • Formal Languages and Automata

  • Linear Algebra

  • Programming (C#)

  • Design and Analysis of Algorithms

  • Operating Systems, Shell Programming

  • $\LaTeX$

at University of Hertfordshire

  • supervising MSc projects in Computer Science

  • Artificial Life (guest lecture)

at University of Debrecen

  • Programming (C, Java)