Spring 2026 Course Search

Modern Guitar — MIN4224.01

Instructor: Hui Cox
Days & Time:
Credits: 2

Modern Guitar is a one on one private lesson.  Occasionally if two students are about the same level the class will accommodate two students at a time.

It is expected that a firm grasp of all the concepts taught in Beginning and Intermediate Guitar are fully understood.

If you haven’t taken these classes you would have to audition to receive the instructors permission to demonstrate skills.

Computing and Data in Practice — CS4392.01

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’d like to be a few years after graduation. More specifically

Analyzing Blockchain/Web3 as an open distributed database — CS4391.01

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

Following up on the fall course on web3, this course helps students learn to track transactions and actions across blockchains, which are large distributed censorship resistant databases. The course starts by exploring the fundamental nature of the blockchain: how data is stored, accessed, and traversed. It then introduces common patterns and software used for blockchain analytics.

Violin — MIN4345.01

Instructor: Joana Genova
Days & Time:
Credits: 2

The course is for intermediate to advanced students.
Students are expected to practice daily (minimum of 45 minutes). End-of-semester performance is required.

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.

Fiddle — MIN4327.01

Instructor: John Kirk
Days & Time: F 1:00PM-1:50PM
Credits: 2

For the experienced (3+years of playing) violinist/violist. Lessons in traditional styles of fiddling – Quebecois, New England, Southern Appalachian, Scandinavian, Cajun, Irish, and Scottish. This course is designed to heighten awareness of the variety of ways the violin is played regionally and socially in North America (and indeed around the world) and to give practical music skills for furthering personal music making. Students will be expected to perform at Music Workshop, or as part of a concert, in ensemble and/or solo.

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.

Bass Intensive — MIN4026.01

Instructor: Michael Bisio
Days & Time:
Credits: 2

Advanced studies in theory relating to performance.

Students must be enrolled in Bass with Bisio (MIN4417) simultaneously, no exceptions. This class is only for advanced students and by permission of instructor.

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.

Beginning Violin II — MIN4360.01

Instructor: Joana Genova
Days & Time:
Credits: 2

Individual 25-30 min. long lessons for students with prior experience who want to continue learning fundamental violin technique.
Daily practice (about 15-20 min.) is expected. End-of-semester performance is required.

Viola — MIN4241.01

Instructor: Ariel Rudiakov
Days & Time:
Credits: 2

This course is for students who have prior experience with the instrument. Students are expected to practice daily for a minimum of 30 minutes per day. End of semester performance required.

Piano - Private Instruction — MIN4419.01

Instructor: Christopher Lewis
Days & Time:
Credits: 2

Individual private lessons for advanced students, with focus on the classical repertoire. Students will meet with the instructor weekly on scheduled class days, at times to be arranged with the instructor. Two excused absences permitted, with every effort made for make-up lessons. Daily practice is expected, and participation in Tuesday evening music workshop and performance at the end-of-term recital are required.

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 Songwriters Guitar — MIN4362.01

Instructor: Omeed Goodarzi
Days & Time: FR 4:10pm-6:00pm
Credits: 2

Self-taught guitar playing often begins with the recognition of simple patterns, evolving into complexity. These patterns, while helping us gain familiarity, can eventually become a constrictive box, requiring new material to refresh the old.  How do we make a song more effective through focusing on guitar, how can we make a song find its destination? This course develops each student’s guitar practice in tandem with songwriting, while challenging players to hear all notes, chords, rhythms, and breaks as viable.

Intermediate Piano — MIN4236.01

Instructor: Yoshiko Sato
Days & Time:
Credits: 2

This course is intended for students with some playing and reading experience.

Students will expand upon a repertoire of scales and chords.

They will study and learn to play selected compositions.