and statistical computing. In addition, you will choose an application area—a discipline in which statistical techniques are commonly applied—and complete a core of courses in that area. After you ...
Includes instruction in calculus, linear algebra, numerical analysis and partial differential equations, discrete mathematics, probability theory, statistics, computing, and other related topics.
Our research focuses on both theoretical and applied aspects in the broad area of machine learning and statistical computing. We study machine learning algorithms for solving a variety of learning ...
Students are also required to develop proficiency and knowledge in the areas of mathematics, statistics, and computer science ... to meet the single variable calculus requirement. The Computing ...
Purdue University’s online Master's in Applied Statistics prepares students to advance theory, methods and computing for the purpose of meeting today’s emerging science and technology by including ...
The bachelor of science degree is an "expanded major," which provides a more intense experience in mathematics, statistics, computing and science. Regardless of which option you chose, math and stats ...
The curriculum currently includes opportunities to learn the statistical computing environment R, the Bayesian approach to estimation and prediction, and how to use mathematical ideas to understand ...
The Quantum Financial Taskforce, led by the G20, has committed $1 billion by 2025 to ensure quantum resilience in global ...
Data Science is an interdisciplinary undergraduate program at SFU involving coursework in four different areas: Statistics, Computing Science, Mathematics, and Business. The program was designed in ...
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