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====== Math 753/853 course materials ====== This course is part of a [[https://www.unh.edu/it/oer|UNH Open Educational Resources (OER) initiave]]. The goals of the OER initiative are to reduce textbook costs for students while modernizing and enlivening the learning experience with more contemporary, interactive learning materials. Math 753/853's OER plan has three main components. We will use * open, online resources on numerical methods and an assortment of optional, low-cost books in place of an expensive required textboook. * the open-source (free) and cutting-edge [[http://www.julia.org|Julia programming language]] in place of proprietary Matlab software. * an open-source and publically-readable course website instead of the proprietary and pay-walled Canvas course management system By following OER principles, we will save students money, pave the way for reducing university costs for software licenses, and contribute to improving numerical methods pedagogy worldwide. ===== Numerical methods resources ===== Numerical methods resources: * [[http://nm.mathforcollege.com/topics/|Holistic Numerical Methods]] * [[https://www.amazon.com/Numerical-Analysis-2nd-Timothy-Sauer/dp/0321783670|Numerical Analysis, Sauer]] (textbook, not required) * [[http://www.perseusacademic.com/book/hardcover/numerical-methods/9780691151229|Numerical Methods, Greenbaum and Chartier]] (textbook, not required) * [[http://www.mathworks.com/moler/chapters.html|Numerical Computing with Matlab, C. Moler]] * [[http://www.mathworks.com/moler/exm/chapters.html|Experiments with Matlab, C. Moler]]. ===== Julia resources ===== * [[http://julialang.org/| julialang.org]] the Julia website. * [[http://julialang.org/downloads/|Julia download]] * [[http://docs.julialang.org/en/release-0.4/| Julia documentation]] * [[https://github.com/stevengj/julia-mit/blob/master/README.md|Why Julia?]], Steven Johnson * [[https://dl.dropboxusercontent.com/u/8252984/julia.html|Julia cheatsheet]] * [[https://homepages.warwick.ac.uk/staff/C.Ortner/index.php?page=julia|Julia examples for numerical analysis]]
