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Using Google ngrams to break down 2-word phrases including "capitalism"

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syllabi statistics computing data analysis

"Computational data analysis is an essential part of modern statistics. Competent statisticians must not just be able to run existing programs, but to understand the principles on which they work. They must also be able to read, modify and write code, so that they can assemble the computational tools needed to solve their data-analysis problems, rather than distorting problems to fit tools provided by others. This class is an introduction to programming, targeted at statistics majors with minimal programming knowledge, which will give them the skills to grasp how statistical software works, tweak it to suit their needs, recombine existing pieces of code, and when needed create their own programs.

Students will learn the core of ideas of programming — functions, objects, data structures, flow control, input and output, debugging, logical design and abstraction — through writing code to assist in numerical and graphical statistical analyses. Students will in particular learn how to write maintainable code, and to test code for correctness. They will then learn how to set up stochastic simulations, how to parallelize data analyses, how to employ numerical optimization algorithms and diagnose their limitations, and how to work with and filter large data sets. Since code is also an important form of communication among scientists, students will learn how to comment and organize code. "

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"One of the presentations was by Ole Peters, from the Department of Mathematics at the Imperial College of London. His presentation compared time series analysis with ensemble analysis. Time series analysis takes one realization of a process and runs it over a very long time period and then looks at the distribution over the course of that run, whereas ensemble analysis creates many copies of the process and runs these over a shorter period, and then looks at the distribution of those results. Time series analysis is what you see over many years in one universe, ensemble analysis is what you see when you take many universes and integrate across them to look at the distributional properties.
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A Distant Learning Course on Discrete Choice Methods with Simulation

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The SocialFlow Blog brings you the latest news, research and dispatches from the leading edge of social media optimization.

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" the term ‘social networking’ makes little sense if we leave out the objects that mediate the ties between people. Think about the object as the reason why people affiliate with each specific other and not just anyone. For instance, if the object is a job, it will connect me to one set of people whereas a date will link me to a radically different group. This is common sense but unfortunately it’s not included in the image of the network diagram that most people imagine when they hear the term ‘social network.’ The fallacy is to think that social networks are just made up of people. They’re not; social networks consist of people who are connected by a shared object. That’s why many sociologists, especially activity theorists, actor-network theorists and post-ANT people prefer to talk about ‘socio-material networks’, or just ‘activities’ or ‘practices’ (as I do) instead of social networks."

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Marxian analysis through an international center-periphery lens.

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