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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.

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.

It is trite but true: kids grow up so fast. In this course we will discuss the incredible growth of infants, toddlers, and children in multiple domains (physical, cognitive, emotional/social). We will discover how growth in each domain affects the others. We will explore enduring topics of discourse in child development, such as nature and nurture, individual differences, and the nature of change.

In this course, students will examine the building blocks which make up the interlocking systems of language and observe how those systems are enacted and granted layers of meaning through social practice.

How do cognitive neuroscientists examine words and word meanings?  What are the different ways we can remember words, such as definitions (“pollo”, “ji”, “chicken”) and lyrics, and how do words work in our brains?   Why do we sometimes struggle to remember a word that comes to mind easily later on?  Are words and images stored together or separately in our brains?  These questions and more will be addressed in this course, after an overview of the central nervous system.

How have psychologists defined feelings over the years, and how is the field continuing to change?  We will begin with the 19th Century, when scientists like Wundt and Charcot brought human perception and mental health symptoms out of the realm of metaphysics.  After briefly considering Darwin’s view of emotion and new perspectives on artwork from early asylums, we will evaluate emotion as featured in two central debates from the 20th Century: (1) the psychodynamic approach of Freud, one of Charcot’s students, versus humanism and (2) the behaviorists’ broad rejection of feelings a

This course addresses the theories, methods, ethics, and actual outcomes of language documentation, revitalization, and reclamation work. Students will examine the causes and consequences of language endangerment, strategies for revitalization, and community-led initiatives in reclaiming linguistic and cultural heritage. Case studies from around the world will provide insight into real-world applications of language work and the diversity in form that this work takes depending on context.

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.

Have you ever imagined speaking in the language of computers, and transforming your ideas into actions that computers can perform? This course is a gateway to discovering the art and science of programming, a crucial skill that serves as the backbone of computer science. But computer science transcends mere programming. Our actual aim is to nurture your ability to think like a computer scientist.

Have you ever wondered what a computer is and how it actually works?  In this course, we’ll answer the hardware half of this question.

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.

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

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, …). The third web epoch is—if you believe the hype—to be defined by self-ownership of content.

“I, at least, am not a Marxist”&�Բ�����;Karl Marx

This course provides its students with a deep and expansive exploration of the field of psychology. As a diverse field of study, psychology is broadly defined as the study of human behavior. Psychology has numerous sub-areas of study that take different research approaches to examine biological, social, and cultural factors and how they influence behavior, mental processes, societal characteristics, and individual differences.

Qualitative inquiry seeks to discover and to describe in narrative reporting what particular people do in their everyday lives and what the actions mean to them.  The course is intended for students at all standpoints of their individual projects who wish to gain experience and expertise in engaging with qualitative research methods.

Formal logic is the study of the structure of reasoning itself—how arguments are built, when they succeed, and why they fail. In an age of information overload, knowing how to dissect an argument, detect reasoning errors, and construct rigorous proofs is a superpower. This course introduces the foundations of formal logic, with an emphasis on precision, clarity, and critical thinking tools. From everyday statements to abstract puzzles, you will learn how to translate ideas into symbolic form and test their validity.