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Term
Time & Day Offered
Level
Credits
Course Duration

Statistical Methods for Data Analysis — MAT2104.01

Spring 2025
Instructor: Andrew McIntyre
Credits: 4
In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis, and
Science and Mathematics

Statistical Methods for Data Analysis — MAT2104.01

Spring 2023
Instructor: Katie Montovan
Credits: 4
In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis, and
Environment Science and Mathematics

Statistical Methods for Data Analysis — MAT2104.01

Spring 2017
Instructor: Katie Montovan
Credits: 4
This course focuses on developing the statistical skills needed to design studies, to analyze large datasets and to be a critical consumer of statistical results. We will design studies, collect and analyze data, and create effective presentations of results. We will also analyze large observational datasets. Emphasis will be placed on gaining a solid conceptual understanding
Environment Science and Mathematics

Statistical Methods for Data Analysis — MAT2104.01

Spring 2016
Instructor: Katie Montovan
Credits: 4
This course focuses on developing the statistical skills needed to design studies, analyze large datasets and to be a critical consumer of statistical results. We will design studies, collect and analyze data, and create effective presentations of results. We will also analyze large observational datasets. Emphasis will be placed on gaining a solid conceptual understanding of
CAPA Environment Science Mathematics and Computing

Statistical Methods for Data Analysis — MAT2104.01

Spring 2022
Instructor: Katie Montovan
Credits: 4
In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis, and
Science and Mathematics

Statistical Methods for Data Analysis — MAT2104.01

Spring 2024
Instructor: Katie Montovan
Credits: 4
In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis, and
Environment Science and Mathematics

Statistical Methods for Data Analysis — MAT2104.01

Spring 2026
Instructor: Katie Montovan
Days & Time: TU,FR 8:30am-10:20am
Credits: 4

In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis, and

Education Environment Mathematics

Statistics and Their Presentation — MAT2236.01

Spring 2014
Instructor: Kathryn Montovan
Credits: 4
Statistics is the art of finding meaning in spite of unavoidable uncertainties. Statistics is an important part of modern society -- with politicians, businessmen, economists, and all kinds of scientists depending on statistics and statistical models to estimate and confirm patterns within their data. In this course, we will focus on using basic statistical methods to
Environment Science Mathematics and Computing

Statistics and Their Presentation — MAT2114.01

Spring 2015
Instructor: Kathryn Montovan
Credits: 4
Statistics is the art of finding meaning in mathematical abstracts. It is looking at patterns and trying to reason what those patterns mean for the future. Statistics have pervaded modern society--politics, business, economics, and all walks of science depend on statistics and the models contained within to estimate and confirm patterns within their data. This course will focus
Science Mathematics and Computing

Statistics for Data Analysis — MAT4216.01

Spring 2018
Instructor: Josef Mundt
Credits: 4
In this course, we will focus on developing the statistical skills needed to answer questions by collecting data, designing experimental studies, and analyzing large publicly available datasets. The skills learned will also help students to be critical consumers of statistical results. We will use a variety of datasets to develop skills in data management, analysis and
Environment Science and Mathematics

Statistics for Social Science — SOC4103.01

Spring 2024
Instructor: Emily Waterman
Credits: 4
In this course students will learn to use social science statistics to test their own research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Students will employ various inferential statistics techniques commonly used in social science, such as confidence intervals, t-tests, chi-square testing, correlation,
Society Culture and Thought

Statistics for Social Science — SOC4103.01

Spring 2021
Instructor: Emily Waterman
Credits: 4
In this course students will learn to use social science statistics to test their own research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Students will employ various inferential statistics techniques commonly used in social science, such as confidence intervals, t-tests, chi-square testing, correlation,
Society Culture and Thought

Statistics for Social Science — SOC4103.01

Spring 2025
Instructor: Emily Waterman
Credits: 4
In this course students will learn to use social science statistics to test their own research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Students will employ various inferential statistics techniques commonly used in social science, such as confidence intervals, t-tests, chi-square testing, correlation,
Society Culture and Thought

Statistics for Social Science — SOC4103.01

Fall 2025
Instructor: Emily Waterman
Days & Time: MO,TH 1:40pm-3:30pm
Credits: 4

In this course students will learn to use social science statistics to test their own research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Students will employ various inferential statistics techniques commonly used in social science, such as confidence intervals, t-tests, chi

Sociology

Statistics for the Social Sciences — SOC4103.01) (cancelled

Spring 2022
Instructor: Debbie Warnock
Credits: 4
In this course students will learn to harness social statistics as a powerful tool for answering social science research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Using nationally representative data sets we will employ various inferential statistics techniques, such as confidence intervals, t-tests, chi
Society Culture and Thought

Statistics for the Social Sciences — SCT4105.01

Spring 2019
Instructor: Debbie Warnock
Credits: 4
In this course students will learn to harness social statistics as a powerful tool for answering social science research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Using nationally representative data sets we will employ various inferential statistics techniques, such as confidence intervals, t-tests, chi
Society Culture and Thought

Statistics for the Social Sciences — SOC4103.01

Spring 2018
Instructor: Debbie Warnock
Credits: 4
In this course students will learn to harness social statistics as a powerful tool for answering social science research questions, while becoming more educated consumers of statistical analyses presented in research and news sources. Using nationally representative data sets we will employ various inferential statistics techniques, such as confidence intervals, t-tests, chi
Sociology

Steal This Book: Literature of the 60s and 70s — LIT2248.01

Fall 2013
Instructor: Benjamin Anastas
Days & Time: TBA
Credits: 4
The 1960s and 70s have been so thoroughly trivialized by the culture wars that Timothy Leary’s mantra ‘Turn on, tune in and drop out’ has become the era’s defining slogan. But the counter-culture helped produce some of the most genre-breaking literature we have, and this course will dive into the alternative canon for a long, strange trip among the famous, the forgotten, and
Literature

Still + Moving Image — PHO2156.01

Fall 2021
Instructor: Jonathan Kline
Credits: 4
In this remote course we will explore the rich terrain between photography and film from the early 20th century to the present moment. Through weekly screenings, pdfs of published texts, and synchronous small discussion groups, we will study the still/moving image work of Moholy-Nagy, Helen Levitt, Gordon Parks, Mary Ellen Mark, RaMell Ross, and others. Written responses will
Visual Arts

Stimulus, Sensation, and the Brain: Psychophysical Investigations of Perception — BIO4126.01

Spring 2014
Instructor: David Edelman
Credits: 4
How do animals extract information that is critical for survival from an often complex and ambiguous world? When an octopus sees a crab, what features and behaviors of that crab are capturing the octopus attention? How can we investigate sensory percepts in animals that cant report those percepts to us via natural language? What are the neural correlates of perception? In this
Science Mathematics and Computing

Storytelling with Lights — DRA2316.01

Spring 2022
Instructor: Carly Rudzinski
Credits: 4
In this course, we will explore the idea and process of telling stories with light, and examine how the meaning and experience of a story may be changed by lighting choices, which influence our perception of time, space, mood, composition, focus and story content. Our source material will include illustrations, books, movies, and performing art pieces. We will use the
Drama

Strategic thinking and social interactions — PEC2271.01

Spring 2024
Instructor: Carly Rudzinski
Credits: 2
This course explores strategic thinking in social interactions, analyzing these interactions in a game-theoretic framework. We will textually explore the fundamental concepts of the course, employing case studies to provide evidential support for our arguments. Our emphasis will be on the core ideas and intuitions behind the theory rather than their mathematical expressions,
Society Culture and Thought

Strategies for Sustainability: Living Life as an Artist — DAN4143.01

Spring 2020
Instructor: Elena Demyanenko
Credits: 4
We have consistently seen that artists are lacking certain skill sets, tools and resources that would empower and strengthen their ability to create work, develop personal stability and envision longevity in a realistic way. How can we approach these issues in a holistic way that addresses the person and well as the artist? This course covers a range of topics that addresses
Dance

Strategies of Display (The Museum as Muse) — PHO4102.01

Spring 2017
Instructor:
Credits: 2
This course will present a history of art exhibitions, that artists and curators have embarked upon that have shifted the way we think about exhibitions today. We will look closely at artist-driven exhibitions, and how these displays have impacted artistic production and institutions that exhibit Art. Students will be doing self-directed 
Visual Arts