This course provides a solid basis for further study in statistics and data analysis or in pattern recognition and operations research. It is especially appropriate for students with an undergraduate ...

At Smith, students learn statistics by doing—class time emphasizes problem-solving and hands-on contact with data. Many courses employ student-driven projects that allow students to pursue their ...

For several weeks, the course will focus on statistics. Descriptive statistics, the normal distribution, probability, and regression will be studied. The purpose of this unit is to provide the student ...

Online courses are managed by statisticians who are full-time faculty members in the Department of Applied Economics and Statistics. - Exposure to and the opportunity to acquire proficiency in ...

The course will touch on the law of large numbers and the central limit theorem. Selected topics may be included such as the Poisson process, Linear Models, Markov chains, Bayesian methods. An ...

At a minimum, the student should have strong performance in three semesters of calculus, one semester of linear algebra, and a probability / mathematical statistics course. (Note that we do not ...

This page contains courses in mathematics and statistics that are taught during the current or upcoming academic year. Please note that the contents of this page are based on preliminary information.

The Bachelor of Science in Statistics and Data Science is the college’s newest ... Get a sense for some of the courses that many of our majors take below. A more complete list for each catalog may be ...

I have been teaching the postgraduate statistics course for 15 years. In the early years, I relied on external data for students to complete SPA questions related to inferential statistics. While this ...

Statistical literacy, the ability to understand and reason with statistics and data, is becoming increasingly important as our world becomes more and more data-rich. This course focuses on developing ...

It provides high-level training in statistics with applications in finance. You'll learn to analyse and critically interpret data, build statistical models of real situations, and use statistical ...