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This course covers theories about the form that settlements should take and attempts a distinction between descriptive and normative theory by examining examples of various theories of city form over time.
This course examines the choices and constraints regarding sources and uses of energy by households, firms, and governments through a number of frameworks to describe and explain behavior at various levels of aggregation.
This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems.
This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies.
The participants in this seminar will dive into learning basic conversational Italian, Italian culture, and the Mediterranean diet.
This course reviews the processing and structure of cellular materials as they are created from polymers, metals, ceramics, glasses, and composites, develops models for the mechanical behavior of cellular solids
This course covers vectors and matrices, partial derivatives, double and triple integrals, and vector calculus in 2 and 3-space.
This course focuses on the equations and techniques most useful in science and engineering, Differential equations.
In this course you will learn parallel treatments of photons, electrons, phonons, and molecules as energy carriers, aiming at fundamental understanding and descriptive tools for energy and heat transport processes from nanoscale continuously to macroscal…
This course examines the neural bases of sensory perception. The focus is on physiological and anatomical studies of the mammalian nervous system as well as behavioral studies of animals and humans.
This course covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.
This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice.
Comprehensive exploration of advanced algorithm design and analysis, covering diverse topics from interval scheduling to cryptography and distributed systems.
This course provides an introduction to mathematical modeling of computational problems. It covers the common algorithms, algorithmic paradigms, and data structures used to solve these problems.
A course on the modeling and analysis of random phenomena and processes, including the basics of statistical inference.
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