Spring 2026 Course Search

Sculpture Studio/ advanced practice — SCU4217.01

Instructor: John Umphlett
Days & Time: TU 8:30am-12:10pm
Credits: 4

This course asks each student to work in a self-directed way among a community of critical thinkers. Finding one’s voice, as a maker, requires research sources of influence and inspiration. Students are expected to undertake a significant amount of work outside of regular class meetings. At this point in your Visual Arts Education you must be able to represent serious attention and dedication to your work, and prove that you can manage your time and energy towards advanced inquiry.

about the membrane — SCU2216.01

Instructor: John Umphlett
Days & Time: TH 8:30am-12:10pm
Credits: 4

This course focuses on the additive construction methods essential to contemporary sculpture. Students will embark on independent projects that hone their skills in constructing armatures and exploring innovative skinning techniques. Throughout the term, participants will learn to build and manipulate forms using primarily additive processes, developing their own sculptural vocabulary in a studio environment. There will be two personal independent projects in this class that will ultimately converge into a dynamic, large-scale collaborative sculpture.

Advanced techniques; welding and metal fabrication. — SCU4229.01

Instructor: John Umphlett
Days & Time: MO 1:40pm-5:20pm
Credits: 2

In this course we will focus on cutting and welding non-ferrous metals. Hand cutting and CNC assisted plasma cutting will be the methods in which stock will be cut. The fabrication processes will begin through brazing methods (acetylene) for connecting non-similar metals. There will also be instruction on pinpoint forging as well as the safe use of the blacksmithing forge in the Sculpture department. We will then advance to learning the skills involved in using the GTAW welders for non-ferrous welding.

Calculus: A Classical Approach — MAT4288.01

Instructor: Andrew McIntyre
Days & Time: TU,FR 2:10pm-4:00pm
Credits: 4

This course covers the breadth of university calculus: differentiation, integration, infinite series, and ordinary differential equations. It focuses on concepts and interconnections. In order to cover this much material, computational techniques are de-emphasized. The approach is historically based and classical, following original texts where possible.

Multivariable Calculus — MAT4301.01

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

Multivariable calculus is one of the core parts of an undergraduate mathematics curriculum. Introductory calculus mostly concentrates on situations where there is one input and one output variable; multivariable extends differentiation, integration, and differential equations to cases where there are multiple input and output variables. In this way, multivariable calculus combines calculus and linear algebra; the subject can also be called vector and matrix calculus.

Metric Spaces and Geometry — MAT4162.01

Instructor: Andrew McIntyre
Days & Time: TU,FR 8:30am-10:20am
Credits: 4

Everything is geometry! This class is about two things: first, about how mathematicians have extended the concept of "geometry" beyond triangles and circles, into higher-dimensional spaces, curved spaces, spaces of functions, discrete spaces, and more. Second, about how this extension of "geometry" can allow us to apply our powerful geometric intuition to a wide range of problems that might not initially seem geometric, both within mathematics, and in physics, computer science, and elsewhere.

Intermediate Painting: Ground to Surface — PAI4219.01

Instructor: Beverly Acha
Days & Time: TU 2:10pm-5:50pm
Credits: 4

When you first learn how to paint, the focus is typically on gaining facility with the application and manipulation of paint to articulate the subject. In this intermediate course, we shift our attention to the often overlooked step that precedes painting: preparing the surface. 

Statistical Methods for Data Analysis — MAT2104.01

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 effective presentation of results.

Discrete Mathematics — MAT4107.01

Instructor: Katie Montovan
Days & Time: MO,TH 10:00am-11:50am
Credits: 4

Discrete mathematics studies problems that can be broken up into distinct pieces. Some examples of these sorts of systems are letters or numbers in a password, pixels on a computer screen, the connections between friends on Facebook, and driving directions (along established roads) between two cities. In this course we will develop the tools needed to solve relevant, real-world problems. Topics will include: combinatorics (clever ways of counting things), number theory and graph theory. Possible applications include probability, social networks, optimization, and cryptography.

Games and Probability — MAT2377.01

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

Throughout history, people have played games — games of chance and games of skill. Many of us grew up playing all kinds of different games, and most of those are infused with the core tenets of statistical reasoning and understanding: probability, risk assessment, expected value, and game theory. This course will look at statistics and probability through this lens. We will consider dice, cards, and several ‘classic’ board games. We will consider situations with both complete and hidden information and how to analyze those.

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

Instructor: J Blackwell
Days & Time: MO 1:40pm-5:20pm
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.

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, “IRL” – 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.