Candidate: Melissa Huggan Title: Impartial Intersection Restriction Games When: July, 17, 2015 Time: 9:00 a.m. Location: Herzberg Building Room: 4351 CANDIDATE: Melissa Huggan, Bachelor of Mathematics (Honours), Carleton University, 2013, Bachelor of Arts (Honours), Carleton University, 2008... More
In today’s information-overload world, the modern citizen is routinely confronted by a maze of numbers and data of various forms. Mathematics and statistics are also at the heart of many of today’s advancements in science and technology and are contributing to progress in other fields such as industrial and architectural design, economics, biology, linguistics, and psychology.
Since 1942, the students enrolled in the School of Mathematics and Statistics at Carleton have enjoyed the unique advantage of studying in the nation’s capital, providing easy access to internship opportunities in government departments and private industry. We have strong ties with several institutions in the federal government, such as Statistics Canada, NRCan, NRC the CSEC and Health Canada. Ottawa is also the home of many of Canada’s leading high-tech firms, such as Alcatel, Corel, Cloakware and Entrust. These ties give students an opportunity to see mathematics and statistics applied outside of the university. In fact, many of our students go on to work for these organizations.
|•Bachelor of Mathematics||•Applied Mathematics|
|•Master of Science: Mathematics||•Biostatistics (Msc only)|
|•PhD: Mathematics||•Probability and Statistics|
Submit an Application
News and Information
Successfully defended. Congratulations Alexandr and his supervisor, Dr. Shirley Mills. Candidate: Alexandr Diaz-Papkovich Title: Data Mining the Play-by-Play: Assessing and Applying NHL Performance Metrics Using Statistical Methods When: April 29, 2015 Time: 10:00 a.m. Location: Herzberg Building... More
Speaker: Peter E. Caines (McGill University) Title: Mean Field Game Control Theory: Introduction and Recent Results Date: Friday, April 24, 2015 Time: 3:30-4:30 (coffee starting at 3:00) Location: HP 4351 (MacPhail Room), Carleton University ABSTRACT: The complexity of large population... More