Course Listings

2025 Spring > GRAD > MATH > MATH 648

Computational Statistics

Course #: MATH 648

Description:
This course is an introduction to the fundamental ideas and techniques of statistical inference. The course demonstrates how and when to use statistical methods, explains the mathematical background behind them and illustrates them with case studies. Topics covered include the Central Limit Theorem, parameter estimation, confidence intervals, hypothesis testing, type I and II errors, power, significance level, p-value, likelihood ratiotests, t-test, paired and 2-population t-test, goodness-of-fit tests, contingency tables, exact tests, nonparametric tests, ANOVA and regression models. Statistical software such as R, Matlab, or Python, will be used to analyze real-world data.
Pre Requisites:
Pre-requisite: MATH 647 or permission of instructor.

Section Class Number Schedule/Time Instructor Location
01 8220 TuTh
5:30 - 6:45 pm
TBD, Wheatley W01-0047
Session: Regular
Class Dates: 01/27/2025 - 05/14/2025
Capacity: 10
Enrolled: 1
Status: Open
Credits: 4/4
Class Notes:
Pre Requisites: Pre-requisite: MATH 647 or permission of instructor.
Course Attributes: