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Chemistry 3 focuses on the nature and pathways of organic reactions: what the steps are, how we experimentally determine them, and how we can use them to solve practical problems, such as the synthesis of a drug, or understanding the action of an enzyme. Emphasis will be using the general principles of nucleo- and and electrophilicity to provide a logical framework for understanding substitution, addition, elimination and reactions involving carbonyl groups. Chemical kinetics will also be a topic of study because of the insights it provides for reaction mechanisms.

This course is the first of a four-course chemistry sequence covering general, organic and biochemistry. Students do not need to take the entire sequence. We will focus on introductory chemical principles, including atomic theory, classical and quantum bonding concepts, molecular structure, organic functional groups, and the relationship between structure and properties. The class will have lecture/discussion meetings at which we will critically examine the major concepts of reading assignments, discuss articles, and review some of the current developments of the field.

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.

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.

In this class we will explore the art and practice of scientific communication. This course is inspired by the work of Edward Tufte as well as a lifetime of experience in scientific research and presentation. Our aim is to learn how to create elegant explanations of complex ideas using pictures, charts, numbers and words. We will analyze and produce displays for use in journalism, research publications and scientific presentations, as well as other art forms that inspire multifaceted understanding.

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

Scanning electron microscopes are a fundamental tool in the physical and life sciences. When equipped with an X-Ray spectrometer, a SEM can provide rapid physical and chemical data of specimens on extremely small scales. This class with cover the theory and practical applications of SEM imaging and analysis for advanced science students who have their own research interests. Students will be expected to develop and conduct an independent research project through this class.

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.

“Not long ago, a near prerequisite for vanguard architecture was an engagement with theory; lately it has become an acquaintance with art” or so observed Hal Foster in his 2011 book ‘The Art Architecture Complex.’ While ideas about what constitutes cutting edge architecture may have transformed in the decade since, entanglements between art and architecture and the reciprocal effects that they have on each other remain central to architectural discourse.

“Not long ago, a near prerequisite for vanguard architecture was an engagement with theory; lately it has become an acquaintance with art” or so observed Hal Foster in his 2011 book ‘The Art Architecture Complex.’ While ideas about what constitutes cutting edge architecture may have transformed in the decade since, entanglements between art and architecture and the reciprocal effects that they have on each other remain central to architectural discourse.

Can architecture be understood in the same terms as a photograph? A piece of writing? A painting? A film? Or does it require its own vocabulary, rules, precedents, and sensibilities?