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The David R. Cheriton School of Computer Science has joined the the National Center for Women & Information Technology as an academic affiliate. The National Centre for Women & Information Technology (NCWIT), based out of the University of Colorado, is a non-profit community of more than 600 universities, companies, non-profits and government organizations working to increase women's participation in computing and technology.

David R. Cheriton School of Computer Science professor Michael Godfrey and alumnus Cory Kasper (PhD, 2009) have been awarded most influential paper from Working Conference on Reverse Engineering (WCRE) and the European Conference on Software Maintenance and Reengineering (CSMR), for their 2006 paper "Cloning considered harmful" considered harmful (PDF).

Tuesday, October 13, 2015

NTU subject ranking

National Taiwan University ranking banner

National Taiwan University (NTU) has published its annual ranking of world universities based on the performance of scientific papers, aiming to investigate the world’s top research universities.

For a second time, the David R. Cheriton School of Computer Science has ranked in the global top-20 in subject-area rankings for Computer Science by U.S. News & World Report

The global universities ranking uses a pool of 1,000 institutions to create the list of the top 750 schools. The top 750 schools were ranked using 12 indicators such as global research reputation, regional research reputation, publications, books, and conferences. 

A special results bulletin from ACM competition coach Ondřej Lhok.
The fall Waterloo-local ACM-style programming contest was held this past
Sunday, September 27. This term, we had a huge turnout of about 100 competitors, with 81 submitting at least one solution.
The winner of the contest was Andy Huang, 3A CS.

Researchers from the University of Waterloo are partnering with global information company Thomson Reuters to launch a collaborative research investigation on large-scale data integration and data cleaning.

Professor Ihab F. Ilyas, Alexandra Roatis and Mina Farid from the David R. Cheriton School of Computer Science will lead the project, which will create algorithms to highlight anomalies in enterprise data sets aimed at improving data quality.