Science and Mathematics

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Term
Time & Day Offered
Level
Credits
Course Duration

Statistical Methods for Data Analysis — MAT2104.01

Instructor: Joe Mundt
Days & Time: TBA
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

Statistical Methods for Data Analysis — MAT2104.01

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

Statistical Methods for Data Analysis — MAT2104.01

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

Statistical Methods for Data Analysis — MAT2104.01

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

Statistics for Data Analysis — MAT4216.01

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

Structural Geology and Field Methods — ES4104.01

Instructor: Tim Schroeder
Credits: 4
Students in this course will learn to visualize and analyze the three-dimensional, dynamic complexity of the solid Earth. Understanding how our planet works requires knowing how to extrapolate limited surface data downward to unseen depths using geometric tools and logical abstractions. The class includes a significant field component to learn data collection techniques. In

Structure and Function of Biomolecules — CHE4278.01

Instructor: Fortune Ononiwu
Days & Time: TBA
Credits: 2

How do collections of inanimate molecules drive complex biological processes that define what it means to be living? There is no simple answer. This course introduces the chemical and physical properties of biological building blocks, with an emphasis on the structure and reactivity of biological macromolecules. These macromolecules are examined in detail to understand how

Structure and Interpretation of Computer Programs — CS4380.01

Instructor: Jim Mahoney
Credits: 4
A classic computer science textbook, SICP (Structure and Interpretation of Computer Programs, also known as "the wizard book") is a deep examination of some of the core ideas of programming and computer science, including an introduction to functional programming, mutable state, register machines, and building a compiler from first principles. This course will work through its

Sustainable Chemistry in the Modern World — CHE2116.01

Instructor: Amber Hancock
Credits: 4
Chemistry is everywhere. It is necessary for processes and products that sustain our existence. Because energy and production demands are always increasing to support our expanding population, the way in which we carry out these essential chemical processes is more important than ever. This course will establish the societal importance of green chemical practices and provide

Systems 1: Hardware Architecture and Design—From circuits to machine code — CS2114.01

Instructor: Carly Rudzinski
Credits: 4
Have you ever wondered what a computer is and how it actually works?  In this course, we’ll answer the hardware half of this question. Working from the ground up, we will start with basic circuits and develop elementary logic gates.  Taking these gates as our building blocks, we will construct the core components of a modern computer: the central processing unit,

Systems 1: Hardware Architecture and Design—From circuits to machine code — CS2114.01

Instructor: Darcy Otto
Days & Time: TU,FR 10:30am-12:20pm
Credits: 4

Have you ever wondered what a computer is and how it actually works?  In this course, we’ll answer the hardware half of this question.

Working from the ground up, we will start with basic circuits and develop elementary logic gates.  Taking these gates as our building blocks, we will construct the core components of a modern computer: the central processing

Systems 2: Software Architecture and Design-From virtual machines to compilers — CS4382.01

Instructor: Darcy Otto
Credits: 4
Have you ever wondered what a computer is and how it actually works? In this course, we’ll answer the software half of this question. We will start with virtual machines and develop a high-level language, write a compiler, and an operating system. By the end, we will have developed a software hierarchy that makes the hardware we designed in Systems 1: Hardware Architecture and

Technology Entrepreneurship — CS4313.01

Instructor: Meltem Ballan
Credits: 4
Entrepreneurship is not just about start-ups. It is a problem-solving frame of mind that requires technical expertise, a business sense, an ability to anticipate the future, and an appreciation of social context. In this course students are required to group in the first course. The teams will have business acumen, technology acumen and marketing acumen/product acumen. First

Technology Pathways and Independent Study — CS4134.01

Instructor: Meltem Ballan
Credits: 4
Technology Pathway and Independent Study is designed to accommodate students independent projects and ideas to help them with their FWT and their senior projects. This is a course designated for study and research in an area of software engineering, data science, AI and technology product development. This course may be repeated each semester. Professional Values and

The Biological Sex Mosaic — BIO2241.01

Instructor: Carly Rudzinski
Credits: 4
The evolution of sexual reproduction is arguably the single most consequential event in the evolution of life on Earth. This class will explore the diversity of biological sex. We will focus on sexual differentiation in animals, including humans. Students will learn the genetic, developmental, and hormonal mechanisms that give rise to sex

The Biological Sex Mosaic — BIO2241.01

Instructor: Amie McClellan
Credits: 4
The evolution of sexual reproduction is arguably the single most consequential event in the evolution of life on Earth. This class will explore the diversity of biological sex. We will focus on sexual differentiation in animals, including humans. Students will learn the genetic, developmental, and hormonal mechanisms that give rise to sex phenotypes, while exploring the

The Chemistry of Drugs and Natural Remedies — CHE2201.01

Instructor: Janet Foley
Credits: 4
We hear about new drugs all the time: on TV, in the news, the opioid crises, etc. There is also lots of advertising for alternative treatments for illness or well-being. People have many questions about how drugs, plants, or supplements work and how do you tell if they are effective. These and other questions are considered in this introductory course, open to all students. No

The Data Science Foundations — CS2132.01

Instructor: Meltem Ballan
Credits: 4
The Data Science Foundations provides an interactive introduction to common algorithms and techniques in data science. This class covers data preprocessing, regression techniques, supervised and unsupervised learning algorithms, decision trees, neural networks, ensemble methods,  model evaluation techniques and ethics. Throughout the course, students are encouraged to

The Eclipse! — PHY2279.02) (day/time updated as of 10/13/2023

Instructor: Hugh Crowl
Credits: 1
On April 8, 2024, the second total solar eclipse in seven years will cross North America, starting in northwest Mexico, crossing west Texas, large parts of the midwest, and the northern reaches of New York, before skimming the most northern reaches of Vermont and exiting the continent through the Canadian maritimes. In this course, we will learn about the orbital mechanics of a

The Herbarium: Research, Art & Botany — BIO4441.01

Instructor: Caitlin McDonough MacKenzie
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

An herbarium is a museum of pressed plants, a record of flora following a system that dates back to the 16th century. Large herbaria at institutions like D.C.’s Smithsonian National Museum of Natural History, Chicago’s Field Museum, Cambridge’s Harvard University, and London’s Kew Gardens contain millions of specimens, collected from

The Life and Death of Proteins — BIO4311.01

Instructor: Amie McClellan
Credits: 2
This is an advanced literature-based course aimed at understanding the events that follow the transcription of a DNA sequence into a messenger RNA and the subsequent translation of that message into an amino acid sequence, or protein. The primary emphasis will be on experimental design and interpretation in the context of critical reading, discussion, and writing informed

The Mathematics of Optimal Strategies: Introduction to Game Theory — MAT2250.01

Instructor: Katie Montovan
Credits: 4
We typically think of games (like football, scrabble, and bridge) as entertaining competitions where each player or team tries to outsmart, outrun, or generally be better than their opponent. In this course, we will broaden this definition of a game to be any interaction between individuals where there are well-defined rewards that depend on what the opponent decides to do. In

The Physics of Light and Color — PHY2114.01

Instructor: Hugh Crowl
Days & Time: TU 8:30am-12:10pm
Credits: 2

The physics of light and color initially appears simple: light is a wave and the wavelength of light determines color. While this basic physical description of light is easy to state, going deeper quickly opens up large range of questions. How do different wavelengths of light combine to make colors? How does light from different sources interfere? How does light change path