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Learn about courses, in a wide range of fields at a variety of institutions, where principles and resources from Project TIER have been used to teach transparent research methods.

Course syllabi, exercises, project instructions and other course documents are available for download.

Introduction to Econometrics

California State University, Fresno
economics undergraduate R R Markdown
ECON 123, Fall 2022
Instructor: David Vera

This course introduces students to the basic principles of statistical data analysis in economics. …

Introduction to Archaeological Data Science

University of Washington
archaeology undergraduate R R Markdown
ARCHY 208, Fall 2021
Instructor: Ben Marwick

This course is an introduction to basic methods of archaeology and data science. Students will lear…

Introduction to Data Science

University of Rhode Island
data science undergraduate R
LTI/DSP 110, Fall 2021
Instructor: Harrison Dekker

To study problems in modern society, we need to understand how to use the vast amounts of data avai…

Behavioral Economics

Smith College
economics undergraduate R
Economics 254, Fall 2017
Instructor: Simon Halliday

I separate learning goals into goals with different verbs: know, understand, comprehend, analyze, s…

Introduction to Probability and Statistics

Smith College
statistics undergraduate R R Markdown
Statistical and Data Sciences 220, Spring 2017
Instructor: Amelia McNamara

An application-oriented introduction to modern statistical modeling and inference: study design, de…

Advanced Topics in Housing

Carleton College
economics undergraduate R
Economics 395, Fall 2016
Instructor: Aaron Swoboda

These labs were developed as part of ECON 395: Advanced Topics in the Economics of Housing. This co…

Multiple Regression

Smith College
statistics undergraduate R R Markdown
Statistical and Data Sciences 291, Spring 2016
Instructor: Amelia McNamara

Theory and applications of regression techniques; linear and nonlinear multiple regression models, …