Karen Kafadar headshot
KK

Karen Kafadar

Professor
Chair
Unit: College of Arts and Sciences
Department: Department of Statistics
Office location and address
Halsey 108
Denver, Colorado 80201
Education
Ph.D., Statistics, Princeton University
M.S., Statistics / B.S. Mathematics, Stanford University
NIST Forensic Science Center of Excellence
Source: Iowa State University of Science and Technology
June 01, 2020 – May 31, 2025
AS-STAT Understanding and Improving Effectiveness of Eyewitness Identification Procedures
Source: Laura and John Arnold Foundation
December 02, 2016 – February 28, 2021
AS-STAT Center of Excellence for Forensic Science
Source: Iowa State University
June 01, 2015 – June 30, 2020
STAT 1100: Chance: An Introduction to Statistics
Credits: 3
Studies introductory statistics and probability, visual methods for summarizing quantitative information, basic experimental design and sampling methods, ethics and experimentation, causation, and interpretation of statistical analyzes. Applications use data drawn from current scientific and medical journals, newspaper articles, and the Internet. Students will not receive credit for both STAT 1100 and STAT 1120.
STAT 1601: Introduction to Data Science with R
Credits: 3
This course provides an introduction to the process of collecting, manipulating, exploring, analyzing, and displaying data using the statistical software R. The collection of elementary statistical analysis techniques introduced will be driven by questions derived from the data. The data used in this course will generally follow a common theme. No prior knowledge of programming, data science, or statistics is required.
STAT 3080: From Data to Knowledge
Credits: 3
Most elementary statistics courses start with a technique & present various surface level examples. This course will use relatively complicated data sets and approach them from multiple angles with elementary statistical techniques. Simulation techniques such as the bootstrap will also be used. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using R statistical software. Prerequisite: An introductory statistics course.
STAT 3110: Foundations of Statistics
Credits: 3
This course provides an overview of basic probability and matrix algebra required for statistics. Topics include sample spaces and events, properties of probability, conditional probability, discrete and continuous random variables, expected values, joint distributions, matrix arithmetic, matrix inverses, systems of linear equations, eigenspaces, and covariance and correlation matrices.
STAT 3480: Nonparametric and Rank-Based Statistics
Credits: 3
This course includes an overview of parametric vs. nonparametric methods including one-sample, two-sample, and k-sample methods; pair comparison and block designs; tests for trends and association; multivariate tests; analysis of censored data; bootstrap methods; multifactor experiments; and smoothing methods. Prerequisite: STAT 1120 or STAT 2120
STAT 5390: Exploratory Data Analysis
Credits: 3
Introduces philosophy and methods of exploratory (vs confirmatory) data analysis: QQ plots; letter values; re-expression; median polish; robust regression/anova; smoothers; fitting discrete, skewed, long-tailed distributions; diagnostic plots; standardization. Emphasis on real data, computation (R), reports, presentations. Prerequisite: A previous statistics course; previous exposure to calculus and linear algebra recommended.
STAT 5559: New Course in Statistics
Credits: 1–4
This course provides the opportunity to offer a new topic in the subject area of statistics.
STAT 5993: Directed Reading
Credits: 1–3
Research into current statistical problems under faculty supervision.
STAT 7995: Statistical Consulting
Credits: 3
This course develops skills related to the practice of statistical consulting. It covers conceptual topics and provides experience with data analysis projects found in or resembling those in statistical practice. Conceptual discussion in lectures is supplemented with hands-on practice in applied data-analysis tasks using SAS or R statistical software. Prerequisite: Graduate standing in Statistics
STAT 9999: Non-Topical Research
Credits: 1–12
For doctoral research, taken under the supervision of a dissertation director.