Women were there in the beginning.
Women were the first computers — the people who performed complex mathematical calculations with pencil and chalk — and later, as the field of computer science emerged, they were the first programmers.
Analyzing trends on Twitter and Google can help predict vaccine scares that can lead to disease outbreaks, according to a study from the University of À¶Ý®ÊÓƵ.
In the study, researchers examined Google searches and geocoded tweets with the help of artificial intelligence and a mathematical model. The resulting data enabled them to analyze public perceptions on the value of getting vaccinated and determine when a population was getting close to a tipping point.
The Velocity Fund is a non-equity grant program for startups. Each year Velocity produces three pitch competition events where the Velocity Fund awards at least $115,000 in money to winners. To read more about the , please visit their website.
At the Velocity Fund Finals, Spring 2015, the following students from the Math faculty pitched their ideas:
The University of À¶Ý®ÊÓƵ team did extremely well in the , finishing in 4th place.
Pictured, from left to right: Dean Ian Goulden, 2014 À¶Ý®ÊÓƵ Putnam team members Daniel Spivak and Sam Eisenstat, with coach Prof. Stephen New.
°Õ³ó±ðÌýBernoulli Trials Contest (PDF) was held on Saturday, March 7th.
This is a recreational contest in which contestants are given a sequence of statements, and they must decide (or guess) whether the statements are true or false.
This year, contestants were being eliminated after their third incorrect answer.
What is it? An open and online teaching and learning platform. On-screen text with synchronized audio and interactive investigations teach the concepts from Grade 12 Advanced Functions (Pre-Calculus) and Grade 12 Calculus and Vectors.
The À¶Ý®ÊÓƵ International Genetically Engineered Machine (iGEM) team, composed of students from the Faculties of Mathematics, Engineering, Science, and Applied Health Sciences, won a gold medal for designing ³§³Ù²¹±è³ó²â±ô´Ç³¦¾±»å±ð.Ìý³§³Ù²¹±è³ó²â±ô´Ç³¦¾±»å±ðÌý¾±²õ a synthetic bacterium that is designed to turn off the antibiotic-resistance gene in Methicillin-Resistant Staphylococcus Aureus (MRSA), making it responsive to treatment again.
Patrick Hannigan (4A Computer Science (CS)), William Zhou (3B CS), Edward Yang (4A CS) and Daniel Yaroslavski (4B CS), were given the opportunity to showcase their learnings in front of peers and faculty along with a brief pitch of their ventures today at an Enterprise Co-op (E-Co-op) presentation session.
