Spring 2026 Course Search

Artificial Intelligence — CS4105.01

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

How can we create machines that think, learn, and solve problems? This course explores the fascinating field of artificial intelligence (AI), introducing the fundamental concepts, techniques, and ethical considerations that drive this rapidly evolving discipline.

Building upon your programming knowledge, you will explore key AI paradigms including search algorithms, evolutionary algorithms, swarm intelligence, and machine learning.  You will implement AI solutions to real-world problems, and gain an understanding of how to think about contemporary AI development.

Foundations of Photography: Digital Practice — PHO2153.01

Instructor: Luiza Folegatti
Days & Time: TH 8:30am-12:10pm
Credits: 4

This course will discuss practices and ethics around digital photography, and experiment with foundational tools and techniques, aiming to create space for students to develop their own interests within the possibilities of the medium. Classes will combine practical exercises, readings on the development of digital photography and its impact on society, discussions mostly on the work of contemporary photographers, and analysis of portraiture, landscape, and still photography techniques.

Photobooks — PHO4371.01

Instructor: Luiza Folegatti
Days & Time: FR 8:30am-12:10pm
Credits: 4

This course explores how photographers translate artistic concepts into the materiality of bookmaking, giving students insight into the basic steps of creating a photobook. The course will experiment with different book designs, paper qualities, digital printing, binding techniques, sequencing exercises, intervened photography, photo-collage, and layering.

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.

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.

Directed Projects in Photography — PHO4248.01

Instructor: Terry Boddie
Days & Time: TH 1:40pm-5:20pm
Credits: 4

Students in this advanced level course will engage in research through both texts and images. Reflective writing and constructive peer critiques will expand their critical thinking and expand their photographic practice. Individual feedback by the instructor will be geared towards the progressive development of the student’s semester long project. By the end of the semester, students will produce visual and written work that is representative of their creative exploration over the course of the term.

Photographs as Narratives — PHO2108.01

Instructor: Terry Boddie
Days & Time: WE 2:10pm-5:50pm
Credits: 4

How do we read photographs? What are the stories contained within their borders? How does two, three, or a sequence of images convey a narrative? In this intermediate course, students are guided through a series of assignments that explore the photograph as a narrative pictorial space using analog and digital processes. Structurally the assignments may take a traditional documentary format or a creative thematic narrative format. Image editing and sequencing to strengthen narrative structure will be a key goal of the course.

Introduction to Computer Science 2: Algorithms and Application — CS4384.01

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

Introduction to Computer Science 2 continues the design-recipe approach started in Introduction to Computer Science 1. We extend our toolkit from structural recursion into generative recursion, abstraction, and algorithmic problem-solving. Students move beyond simple data definitions to work with more sophisticated structures (trees, graphs, sets, maps) while beginning to reason about program efficiency and resource use.

The Power and Ethics of Photography — PHO2178.01

Instructor: Farzana Wahidy
Days & Time: TU 8:30am-12:10pm
Credits: 4

This course delves into the influence and impact of photography by examining the works of iconic and contemporary photographers. Students will explore how photography has shaped visual culture and society, gaining a deeper understanding of its power as an artistic and documentary medium. Ethical considerations are central to the course, as students will analyze the responsibilities that photographers hold when capturing and representing their work.