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Social and Behavioral Sciences Commons™

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Full-Text Articles in Social and Behavioral Sciences

Fast And Free: Apps And Websites You Can Use Today, Amanda Hartman May 2013

Fast And Free: Apps And Websites You Can Use Today, Amanda Hartman

Amanda Hartman McLellan

This workshop will cover some websites and mobile apps that are free and easy to use for a variety of purposes, from organization to just plain fun. If you've got a laptop, iPad or other mobile device, please bring it so you can play along!

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Institutional Support For Computing Faculty Research Productivity: Does Gender Matter?, Monica M. Mcgill, Amber Settle Mar 2012

Institutional Support For Computing Faculty Research Productivity: Does Gender Matter?, Monica M. Mcgill, Amber Settle

Amber Settle

We address the question of how male and female computing faculty in the U.S. and Canada perceive research requirements and institutional support for promotion and tenure. Via a survey sent to approximately 7500 computing faculty at the 256 institutions that participate in the annual Taulbee Survey, our results identify differences in reported tenure and promotion requirements, including the number of publications required during the probationary period, the importance of the scope of publication venues, the importance of publishing in non-refereed journals, and the importance of collaborative presentations. Differences were also discovered in institutional support and the satisfaction levels with that …

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Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard May 2011

Empirical Methods-A Review: With An Introduction To Data Mining And Machine Learning, Matt Bogard

Economics Faculty Publications

This presentation was part of a staff workshop focused on empirical methods and applied research. This includes a basic overview of regression with matrix algebra, maximum likelihood, inference, and model assumptions. Distinctions are made between paradigms related to classical statistical methods and algorithmic approaches. The presentation concludes with a brief discussion of generalization error, data partitioning, decision trees, and neural networks.

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