Giles Hooker

Giles Hooker
  • Professor of Statistics and Data Science

Contact Information

  • office Address:

    409 Academic Research Building
    265 South 37th Street
    Philadelphia, PA 19104

Research Interests: Machine Learning, Functional Data Analysis, Differential Equations, Computational Statistics, Statistical Ecology

Links: Personal Website

Teaching

Past Courses

  • STAT4700 - Data Analy & Stat Comp

    This course will introduce a high-level programming language, called R, that is widely used for statistical data analysis. Using R, we will study and practice the following methodologies: data cleaning, feature extraction; web scrubbing, text analysis; data visualization; fitting statistical models; simulation of probability distributions and statistical models; statistical inference methods that use simulations (bootstrap, permutation tests). Prerequisite: Waiving the Statistics Core completely if prerequisites are not met. This course may be taken concurrently with the prerequisite with instructor permission.

  • STAT5030 - Data Analy & Stat Comp

    This course will introduce a high-level programming language, called R, that is widely used for statistical data analysis. Using R, we will study and practice the following methodologies: data cleaning, feature extraction; web scrubbing, text analysis; data visualization; fitting statistical models; simulation of probability distributions and statistical models; statistical inference methods that use simulations (bootstrap, permutation tests). Prerequisite: Two courses at the statistics 4000 or 5000 level.

In the News

Knowledge @ Wharton

Activity

In the News

For New Ideas, Think Inside (This) Box

In this Nano Tool for Leaders, Penn's David Resnick offers guidance on using helpful constraints to unlock new solutions to old problems.Read More

Knowledge @ Wharton - 2024/06/25
All News