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Computer Science At Stanford University

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In the summer of 1995 Larry Page was 22 years old when he visited Stanford University as a candidate of a future Ph.D. student in computer science. Sergey Brin was 21 years old a second-year graduate student in the computer science at Stanford University. Sergey was a mathematical whiz, which was already pursuing his Ph.D. in that department. They had several things in common However, Larry and Sergey didn’t hit off well in fact, and they spent time arguing. They finally calmed down enough so they could begin doing a research project together at Stanford University. They created a search engine in 1996 called Back Rub. Back Rub operated on Stanford servers for a year. It was one of the best-networked institutions on the planet. …show more content…

Google have employees from all walks of life and speak dozens of languages, reflecting on the global audience in which Google serves. Google strive to maintain an open culture often affiliated with startups allowing everyone to be a hands-on contributor that feels comfortable sharing ideas and opinions. In Googles weekly all-hands on meetings, which are known as “TGIF” meetings through email or in the company’s café – Googlers have the opportunity to ask questions directly to Larry, Sergey and other top executives concerning the company. (Brin, 1998) Google designed their offices and cafes to encourage employees to interact with other Googlers within and across teams. This allows them to spark conversations about work, as well as play, creating a relaxing work place. It’s not the typical corporate culture. In fact, just by looking at pictures inside the Googleplex, you can see that it looks more like an adult playground, not a place for work. Google’s success can be attributed to the free culture of their workplace. Google has people whose sole job is to keep employees happy and maintain productivity. Each year, Google gets over 2.5 million applicants and Google reviews each one. Google Know that the people that hire are the ones that make Google successful today. Almost everything Google does is based off data, Google uses all sorts of data to gauge employees and improve their

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