Curriculum Guidelines for Undergraduate Programs in Data Science

The Park City Math Institute (PCMI) 2016 Summer Undergraduate Faculty Program met for the purpose of composing guidelines for undergraduate programs in Data Science. The group consisted of 25 undergraduate faculty from a variety of institutions in the U.S., primarily from the disciplines of mathematics, statistics and computer science. These guidelines are meant to provide some structure for institutions planning for or revising a major in Data Science

1963 Statistics

1963 Men\u27s Cross Country Statistics, George Fox College

1994 Statistics

1994 Women\u27s Cross Country Statistics, George Fox Universit

1967 Statistics

1967 Men\u27s Track and Field Statistics, George Fox College

1952 Statistics

1952 Men\u27s Basketball Statistics, George Fox College

1965 Statistics

1965 Men\u27s Cross Country Statistics, George Fox College

1987 Statistics

1987 Women\u27s Basketball Statistics, George Fox Universit

Practical Statistics

Accelerators and detectors are expensive, both in terms of money and human effort. It is thus important to invest effort in performing a good statistical analysis of the data, in order to extract the best information from it. This series of five lectures deals with practical aspects of statistical issues that arise in typical High Energy Physics analyses.Comment: 26 pages, contribution to the CERN in the Proceedings of the 2015 CERN-Latin-American School of High-Energy Physics, Ibarra, Ecuador, 4 - 17 March 201

1990 Statistics

1990 Women\u27s Soccer Statistics, George Fox Universit

1985 Statistics

1985 Men\u27s Baseball Statistics, George Fox Universit