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Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

2011

MS Powerpoint

Management Sciences and Quantitative Methods

Articles 1 - 3 of 3

Full-Text Articles in Physical Sciences and Mathematics

A Review Of International Best Practice In E-Governmentsome Lessons For New Adopters, Deogratias Harorimana Sr Oct 2011

A Review Of International Best Practice In E-Governmentsome Lessons For New Adopters, Deogratias Harorimana Sr

Dr Deogratias Harorimana

Efficient bureaucratic processes as essential to attract and retain investment, as well as promote SME growth. The e_Gov is one of many ways emerging economies have used to streamline public service delivery and create a freindly and conducive atmosphere for business -both MNC and SMEs. This presentation provide an overview of some of the World's most recent case examples on the successful design-plan-implementation of eGov to build a strong basis to attract investment and deliver seamless essential services to Citizens.

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Computational Thinking In A Game Design Course, Amber Settle Oct 2011

Computational Thinking In A Game Design Course, Amber Settle

Amber Settle

As a part of an NSF-funded project to enhance computational thinking in undergraduate general education courses, activities and assessments were developed for a game design course taught at DePaul University. The focus of the course is on game analysis and design, but the course textbook uses an approach that is heavily grounded in computational thinking principles. We describe the course activities and assignments and discuss an initial assessment of those materials. Our results show that there is a gap in difficulty between several of the activities and indicate that the materials developed help students to better learn the computational thinking …

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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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