Monetary theory and policy. Overview of financial markets and institutions. Explores the nature of money and the effects of changing money supply on the economy, theories of money demand, the various methods by which monetary policy can be conducted and the advantages and disadvantages of each, methods of banking regulation and the attendant problems that arise, and important episodes in monetary history (e.g., the Great Depression).

In this course, we will study college from a variety of perspectives. What is a college? What is the history of college? Why do individuals go to college? What are the economic and social returns to attending college? What is the financial model of a college? What are revenues and costs? How does a college determine what price to charge (tuition, aid: need based and merit)? How does college admissions work (early decision, affirmative action, SAT scores, and need blind admissions)? Who is admitted and why? How is a college run? What does the administration do?

In this course, we will delve into the application of economic principles to our daily experiences, aiming to understand the factors influencing human happiness. Questions such as "What constitutes happiness?" and "How do we make choices that lead to happiness?" are central to our exploration. We will analyze consumer behavior, including preferences, store selection, and the influence of various factors on consumption decisions. Additionally, we will examine the economic implications of consumerism on trade and the environment.

When charting a path through college and beyond, a metacognitive framework can provide scaffolding for intentional reflection. Situated in the Fimbel Maker & Innovation lab, this course will leverage tangible activities to ground discussions on factors and strategies that impact learning. For example, embedding a microcontroller to create motion-sensitive lights in a ballet skirt parallels the cycle of self-regulated learning.

When charting a path through college and beyond, a metacognitive framework can provide scaffolding for intentional reflection. Situated in the Fimbel Maker & Innovation lab, this course will leverage tangible activities to ground discussions on factors and strategies that impact learning. For example, embedding a microcontroller to create motion-sensitive lights in a ballet skirt parallels the cycle of self-regulated learning.

This course builds on the basic programming concepts learned in Computer Science 151, shifting the focus to the organization of data in order to improve efficiency and simplicity of programs. Topics include the study of abstract data types and data structures (such as linked lists, stacks, queues, and binary trees). This course is programming-intensive and introduces the Java programming language.

This course builds on the basic programming concepts learned in Computer Science 151, shifting the focus to the organization of data in order to improve efficiency and simplicity of programs. Topics include the study of abstract data types and data structures (such as linked lists, stacks, queues, and binary trees). This course is programming-intensive and introduces the Java programming language.