VESTA Viticulture Course: VIN 146...
This site, from the Viticulture and Enology Science and Technology Alliance, offers presentations and slides from the lectures of VIN 146, Introduction to Enology with John Giannini. VIN 146 contains 14 lectures: "An Overview of Winemaking," "Blending and Aging," "Bottling," "Calculations," "Clarification," "Fermentation," "Introduction to Enology," "Juice and Wine Analysis," "Protein Stability," "Sanitation," "Spoilage," "Tartrate Stability," "Wine Composition and Types," and "Winery Equipment." These lectures range from eight to 14 minutes each, and focus on presenting an introductory overview of the entire winemaking process. Each topic includes a multimedia presentation of the lecture,...
Teach Online Safety
According to a report by the Pew Research Center published in late 2014, the frequency and severity of cyber attacks are increasing quickly - and they are...
William H. Reusch, emeritus professor at Michigan State University, published his Introduction to Organic Chemistry in 1977. Readers may purchase it for a list...
The University at Buffalo's National Center for Case Study Teaching in Science is a well-known resource in the promotion, development, and dissemination of...
This excellent, interactive site, which won a Webby Award and an award from the American Association of School Librarians, takes students on a journey - into...
The National Renewable Energy Laboratory (NREL) has assembled an impressive array of educational resources for teachers working with elementary, middle, and...
AMSER is a portal of educational resources and services built specifically for use by those in Community and Technical Colleges but free for anyone to use.
AMSER is funded by the National Science Foundation as part of the National Science Digital Library, and is being created by a team of project partners led by Internet Scout.
Data Mining: If you're looking for a broad mathematical area with many applications, consider data mining, which involves the discovery of patterns and previously unknown information in large data sets. Opportunities in this field are in security, forensics, and sciences.
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