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Form and Process: Introduction to Painting — PAI2107.01

Instructor: Ann Pibal
Days & Time: WE 8:30am-12:10pm
Credits: 4

This course introduces a variety of materials, techniques and approaches to working with oil paint. Emphasis is placed on developing and understanding of color, form and space as well as individual research and conceptual concerns. The daily experience of seeing, along with examples from art history and contemporary art, provide a base from which investigations are made. Formal, poetic, and social implications within paintings both from class and from a wide-ranging selection of practicing artists are examined and discussed. Students complete work weekly.

Chromophilia: Investigations in Color — VA4409.01

Instructor: Ann Pibal
Days & Time: MO 1:40pm-5:20pm
Credits: 4

Chromophilia, refers to intense passion and love for color. What is it about color that has the power to induce reverie, and conversely to manipulate, or disgust? How does color work? What is the role of color in visual art? In language? How do we understand and respond to color from phenomenological, poetic, philosophical, and societal vantage points? How as artists can we become effective stewards of our passionately-loved and yet ever-shifting chroma?

Painting Studio: Visual Inquiry in Context — PAI4220.01

Instructor: Ann Pibal
Days & Time: TU 2:10pm-5:50pm
Credits: 4

This intermediate level painting course will take as its platform the investigation of writing by artists about art and artists. While developing their own self-defined studio practices, students will engage with primary documents of art history - artists' essays, letters and sketchbooks.

Computing and Data in Practice — CS4389.01

Instructor: Michael Corey
Days & Time: Tu 8:30AM-10:20AM
Credits: 2

For students doing work-study or internships, we will focus on three core areas of professionalization. First, each week will journal our work weeks, discussing and sharing our work experiences in a round-table. Second, we will build our professionalization skills, especially networking (in person and on LinkedIn), resume writing, and doing practice interviews. Finally, we will work on writing 5-year plans, to help us figure out where we鈥檇 like to be a few years after graduation. More specifically

Blockchain/Web3 as an evolution of the consumer web — CS2138.01

Instructor: Michael Corey
Days & Time: TH 3:40pm-5:30pm
Credits: 2

The large-scale consumer web has been defined by epochs. The first epoch was defined by the user as consumer: large companies created content which was consumed by the masses. The second web epoch (web 2.0) has been defined by consumer creators, large companies own and deliver content created by users to other users (Facebook, TikTok, Snapchat, Twitter, Instagram, 鈥). The third web epoch is鈥攊f you believe the hype鈥攖o be defined by self-ownership of content.

Electronics Lab — PHY2213.02

Instructor: Hugh Crowl
Days & Time: MO 1:40pm-5:20pm
Credits: 2

This course will serve as an introduction to working with circuits in a lab setting. We will learn about the relatively simple rules necessary for working with analog circuits and how those rules can be used to build objects of growing complexity. We will then move on to understanding how to build circuits that can measure properties of and interact with their surroundings.

Genome Jumpstart — BIO2117.01

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

This course offers an immersive experience into the world of DNA, genes, and genomes in eukaryotic organisms.  In addition to getting a grasp of the foundational biology, students will engage with various online databases and resources, becoming familiar with the computational algorithms and methodologies used to mine and analyze the ever-increasing data generated from whole-genome sequencing, and consider how that improves our understanding of evolutionary relationships amongst organisms based on their molecular fingerprints.  In the second half of the term, students

Protein Research Methods — BIO4109.01

Instructor: Amie McClellan
Days & Time: WE 2:10pm-5:50pm
Credits: 4

Research questions in cell biology and biochemistry often require the ability to study the proteins at the heart of the inquiry.  This course will give students hands-on experience quantifying proteins, detecting protein expression, measuring enzymatic activity, assessing protein-protein interactions, purifying proteins, and visualizing fluorescently-labeled proteins in vivo.

Neuroscience — BIO4437.01

Instructor: Blake Jones
Days & Time: MO,TH 1:40pm-3:30pm
Credits: 4

This rigorous course provides a comprehensive introduction of the nervous system, including its structure, function, and development. Students will explore the principles of the cellular and molecular mechanisms that allow neurons and other specialized nervous cells to detect, encode, and transmit information; including signaling, synaptic transmission, and neuroplasticity.

Data Structures and Algorithms — CS4388.01

Instructor: Darcy Otto
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

How do we organize data to solve complex problems efficiently? This course studies the fundamental structures and algorithms that form the cornerstone of computational problem-solving. Building upon the programming foundations established in CS1, we will explore how algorithmic thinking and sophisticated data organization enables us to tackle increasingly challenging computational problems.

Scanning Electron Microscopy Research Methods — ES4107.01

Instructor: Tim Schroeder
Days & Time: TU 2:10pm-4:00pm
Credits: 2

Scanning electron microscopes are a fundamental tool in the physical and life sciences. When equipped with an X-Ray spectrometer, a SEM can provide rapid physical and chemical data of specimens on extremely small scales. This class with cover the theory and practical applications of SEM imaging and analysis for advanced science students who have their own research interests. Students will be expected to develop and conduct an independent research project through this class.

Linear Algebra: An Introduction — MAT2482.01

Instructor: Joe Mundt
Days & Time: T/Th 6:30PM-8:30PM
Credits: 4

Together with calculus, linear algebra is one of the foundations of higher-level mathematics and its applications. This is NOT just the algebra you know from high school. There are several perspectives one can take on linear algebra: it is a method for handling large systems of linear equations, it is a theory of linear geometry (including in dimensions larger than three), it is matrix algebra, and it is a theoretical structure that appears throughout mathematics, physics, computer science, and statistics.

Sets and Structures — MAT2121.01

Instructor: Andrew McIntyre
Days & Time: MO,TH 1:40pm-3:30pm
Credits: 4

In the eighteenth and nineteenth centuries, mathematics underwent a vast expansion, into new, exciting, and increasingly counter-intuitive realms. The subject risked mystification and mutual incomprehensibility between experts in different sub-fields. In the first part of the twentieth century, a group of French mathematicians, under the pseudonym Bourbaki, undertook an ultimately successful program to use the foundation of set theory to put all of mathematics onto a common conceptual and logical foundation.

How to Build a Forest — BIO2131.01

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

凯旋门官网鈥檚 campus supports beautiful examples of temperate deciduous mixed hardwood forests. This class is a deep dive into forest ecology, land use change, and forest succession at a local scale. Students will explore the local forest community composition, structure, and function over the last 15,000 years and discuss the environmental conditions, disturbance dynamics, and biotic interactions responsible for the forest we have today.

Evolution — BIO4440.01

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

Evolution is the unifying theory of biology, explaining the diversity of life on Earth and the mechanisms that drive adaptation and speciation. This course will explore the core principles of evolutionary biology, including natural selection, genetic drift, gene flow, mutation, and the interplay between evolutionary processes and ecological contexts. We will examine key evolutionary events, from the origins of life to the development of complex traits, using case studies across diverse taxa.

Deep Fakes: An Introduction to Oil Painting — PAI2109.01

Instructor: J Blackwell
Days & Time: TU 8:30am-12:10pm
Credits: 4

Fake news, reality television, 鈥淚RL鈥 鈥 asserting the veracity of our perceptions is a constant preoccupation in contemporary culture. What is real? Realism is a widely used term with multiple connotations: verisimilitude, authenticity, objectivity, truth, fact.

Advanced Workshop for Painting and Drawing: The Contemporary Idiom — PAI4216.01

Instructor: J Blackwell
Days & Time: WE 2:10pm-5:50pm
Credits: 4

This course is for experienced student artists with a firm commitment to serious work in the studio. Students will work primarily on self-directed projects in an effort to refine individual concerns and subject matter. Students will present work regularly for critique in class as well as for individual studio meetings with the instructor. Development of a strong work ethic will be crucial.