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 ...

and spring courses are published at the end of September. This page only contains basic, intermediate and advanced studies in mathematics and statistics. So, the page does not include all mandatory ...

easier to understand with lots of practical work"- course feedback, December 2023 "I finally understand statistics! The best thing was working from basic theory up. The recap sessions were excellent" ...

Students must have completed a statistical course at least equivalent to Quantitative Methods (Statistics ... using R -- a programming language and software environment for data analysis and ...

This course introduces students to statistics and quantitative information. The course surveys probability theory, hypothesis testing, descriptive statistics and visualizations, and inferential ...

This course will teach students how to address these and other social science questions by analyzing quantitative data. The course introduces basic principles of statistical inference and programming ...

a project in data analysis or in the development of new statistical methodology, and the opportunity to gain work experience and course credit through the co-operative education program. The M.Sc.

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 ...

A major consists of 120 credits (eight courses) in Statistics. The more advanced statistics courses build on the basic concepts learned in the 100-level course. You should take 161122 Statistics ...

The Bachelor of Science in Statistics and Data Science is the college’s newest major ... as statisticians and data scientists or in other roles where training in these fields is excellent preparation.

If you are interested in upskilling and discovering the power of data for predicting trends and improving outcomes, this course is ideal. Data Analytics and Social Statistics is designed for any ...

Xu, Qin 2007. Measuring information content from observations for data assimilation: relative entropy versus shannon entropy difference. Tellus A: Dynamic Meteorology ...