STT 481 Capstone in Statistics
M / W / F, 1:50-2:40 pm, Olds Hall 109
Instructor:
email: sungchih@msu.edu
office: C418 Wells Hall
office hours: 10:00-11:00 am M/W and by appointment.
(Announcements and lecture notes are post on D2L)
Description:
Statistical capstone experiences are essential for statisticians to perform an in-depth analysis of real-world data. Capstone experiences can develop statistical thinking by engaging in a consulting-like experience that requires skills outside the scope of traditional courses: defining a complex problem, analyzing data, building a strong team, and communicating effectively. In this course, selected readings and projects will be given to illustrate special problems encountered by professional statisticians in their roles as consultants, educators, and analysts.
This course covers the following topics:
problem formulation
advanced statistical modeling, preliminary data analysis, and machine learning
Statistical software (R)
thorough and elaborate statistical analyses of data
final presentation and data visualization
Textbooks:
An Introduction to Statistical Learning with Applications in R -- Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani
Reference:
A Survey of Statistical Capstone Projects by Susan E. Martonosi and Talithia D. Williams
Prerequisite:
(STT 442 or approval of department) and completion of Tier I writing requirement