Search Results

Visual Arts Lecture Seminar — VA4218.01

Instructor: Vanessa Lyon
Days & Time: TU 4:10pm-6:00pm
Credits: 2

This discussion-animated, readings-based seminar provides art historical, cultural, and critical contexts for the Visual Arts Lecture Series (VALS). In addition to our ongoing interrogation of the public lecture as such, students present their own work (in any field) and analyze the technical and stylistic aspects of structuring an effective and engaging ‘talk.’ The course provides unique opportunities for interaction with visiting artists, curators, critics, and historians.

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?

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

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.