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Physical computing is a field of computer science that addresses computational problems in real-world scenarios. This course will consider many physical computing applications, from robotics and molecular biology to linear algebra, signal processing and the motion of fluids. The goal is to provide students with a broad overview of the field, to enable them to make informed decisions about their future career paths. Topics include: robotics, bioengineering, computational fluid dynamics, topology, neural networks, linear algebra, signal processing and compressive sensing, field programmable gate arrays, electronic circuits, parallel processing, mobile computing, machine learning, autonomous robots, computational biology, and emerging applications in physics, chemistry, and biology. Prerequisites: One of the following: Physics I, Physics II, or Computational Physics, or AB, BC or AB-CM or AB-CM with Computational Physics. 3 credits
This course is designed for students with an interest in the application of computation to complex problems in science and engineering. The goal is to provide students with a broad overview of the field, to enable them to make informed decisions about their future career paths. Topics include: algorithms, complexity theory, computer vision, computational neuroscience, computational linguistics, computational biology, discrete mathematics, numerical methods, parallel processing, and programming. Prerequisites: Physics I, Physics II, or ComSci 211. 3 credits
Physics is the study of the nature and behavior of matter and energy, and of the related concepts of space and time. This course is designed to provide students with a background in physics that is both broad and rigorous enough to produce students who are able to understand and communicate about the field in professional settings. Physics majors will use this course to introduce them to the basic building blocks of classical mechanics and electromagnetism, including Newton’s laws of motion and the principles of conservation of energy and momentum. The course will also introduce the fundamental concepts of classical statistical mechanics, including thermodynamics and statistical mechanics. It will give a broad overview of modern physics, including special and general relativity, quantum mechanics, and quantum field theory. We will also introduce the modern computational and theoretical tools of physics, including numerical analysis of differential equations and numerical methods, and quantum computing. Prerequisites: One of the following: Physics I, Physics II, or Computational Physics, or AB, BC or AB-CM or AB-CM with Computational Physics. 1 credit
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