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LOGIN Wednesday February 15 at 3pm Eastern US time: http://tinyurl.com/math20event During the event, Dr. Keith Still of SaferCrowds.com will introduce his Crowd Sciences work and explain the relevance of mathematics in it: "If you don't do the maths, you could end up in court on a manslaughter charge!" All events in the Math Future weekly series: http://mathfuture.wikispaces.com/events The recording will be at http://mathfuture.wikispaces.com/CrowdSciences Pose questions and comments for Keith before the event Math Future wiki: http://mathfuture.wikispaces.com/message/list/CrowdSciences LinkedIn group: http://www.linkedin.com/groupItem?view=&gid=33207&type=member&item=94871153&qid=b29a6dbc-6474-425f-865a-b319bd33dcb9 Email group: http://groups.google.com/group/mathfuture/browse_thread/thread/931328aab6d87b03 How to join Follow this link at the time of the event: http://tinyurl.com/math20event Wednesday, February 15 2012 we will meet online at noon Pacific, 3 pm Eastern time. WorldClock for your time zone. Click "OK" and "Accept" several times as your browser installs the software. When you see Session Log-In, enter your name and click the "Login" button If this is your first time, come a few minutes earlier to check out the technology. Crowd Modelling + Crowd Monitoring + Crowd Management = Safer Crowds Crowd Modelling is the scientific approach to the development of safe, robust, crowd management plans. This can be achieved without the need for expensive, complex, time consuming computer simulations. In simple terms Crowd Modelling is understanding how, where, when and why crowds arrive, move around and leave an events/venues. The majority of this can be accomplished using tried, tested and simple to apply methodologies. "Keith Still is what I term an intuitive mathematician. He is one of the most creative and original thinkers that I know. He adds drive and determination, as well as considerable intellectual power to any group of which h

Abstract: "This research seeks to look into the design process that promotes the development of an educational computer game that supports teaching and learning processes. The research specifically looks at the design of an educational computer game for teaching and learning of the topic of functions. The topic is essential in the teaching and learning of Mathematics courses such as Discrete Mathematics, Real Analysis and Calculus among others at Jomo Kenyatta University of Agriculture and Technology (JKUAT) Kenya. The computer game was developed using the Basic Unified process (BUP) which is a streamlined version of the rational unified process (RUP). This is an object oriented methodology mostly used for small projects with few end users. Due to the few numbers of end users we used interview method of data collection to gather requirements for the computer game. A paper prototype was used to validate the requirements. Use cases were used for both analysis and design of the game while Class diagrams and activity diagrams were purely used for the design of the game. Owens' six top level design anatomy aided in the design of the computer game. The overall computer game design was based on Crawfords' computer game design sequence model. The well designed and developed game met all its user requirements and was able to facilitate the teaching and learning of functions to Bachelor of Science in Mathematics and Computer Science students who were taking Discrete mathematics in their first year of study at JKUATs' Taita/Taveta campus. Development of heuristics for measuring interest, fun and motivation are recommendations given to aid in the evaluation of user satisfaction of educational computer games."

"a century ago this week. Mathematician Andrey A. Markov delivered a lecture that day to the Imperial Academy of Sciences in St. Petersburg on a computational technique now called the Markov chain. Little noticed in its day, his idea for modeling probability is fundamental to all of present-day science, statistics, and scientific computing. Any attempt to simulate probable events based on vast amounts of data - the weather, a Google search, the behavior of liquids - relies on Markov's idea."

Mathematics in Popular Culture Essays on Appearances in Film, Fiction, Games, Television and Other Media Edited by Jessica K. Sklar and Elizabeth S. Sklar Foreword by Keith Devlin Print ISBN: 978-0-7864-4978-1 Ebook ISBN: 978-0-7864-8994-7 25 photos, appendices, notes, bibliographies, index 353pp. 2012