Krauth 2014

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W. Krauth Coming home from a MOOC Computing in Science and Engineering 17(2) 91-95 (2015)

Paper (Preprint)

Abstract My ten-week Massive Open Online Course "Statistical Mechanics: Algorithms and Computations", in early 2014, focused on subjects such as Monte Carlo sampling, molecular dynamics, transition phases in hard-sphere liquids, simulated annealing, classical spin models, quantum Monte Carlo algorithms, and Bose-Einstein condensation, etc. It familiarized a huge international crowd of students with cutting-edge subjects in computational physics. Here, I present the topics of the course, its basic design ideas, its scope and challenges, and compare it with earlier attempts in online teaching.

Electronic version (from arXiv, original version)

Original Paper (in html)

Original Paper (in pdf)

Context, public presentations

This article is based on a talk I gave at the 2014 conference on Computational Physics in Boston, Ma, USA. I also gave an invited plenary talk on this subject at the Conference of the German Physics Departments in Berlin, Germany, on November 2, 2015.

Poster (Announcement of the 2015 MOOC)

Announcement poster of SMAC2015  Click here for a High-definition version
Announcement poster of SMAC2015 Click here for a High-definition version
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