Engineering Department
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Stanford University offers a Master's of Science in Computer Science that can be earned entirely through part-time online study. The program is administered through the Stanford Center for Professional Development. Admissions: Applicants to the online program must meet the same standards as applicants to the traditional on-campus program. More information is available through the Computer Science Department website. Students may begin t...more
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Differential Equations are the language in which the laws of nature are expressed. Understanding properties of solutions of differential equations is fundamental to much of contemporary science and engineering. Ordinary differential equations (ODEs) deal with functions of one variable, which can often be thought of as time. Topics include: Solution of first-order ODE's by analytical, graphical and numerical methods; Linear ODE's, especial...more
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Note: This course is being offered by Stanford this summer as an online course for credit. It can be taken individually, or as part of a master’s degree or graduate certificate earned online through the Stanford Center for Professional Development. This course is the natural successor to Programming Methodology and covers such advanced programming topics as recursion, algorithmic analysis, and data abstraction using the C++ programming...more
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This course explores the basic principles of chemistry and their application to engineering systems. It deals with the relationship between electronic structure, chemical bonding, and atomic order. It also investigates the characterization of atomic arrangements in crystalline and amorphous solids: metals, ceramics, semiconductors, and polymers (including proteins). Topics covered include organic chemistry, solution chemistry, acid-base eq...more
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The MIT Biology Department core courses all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into mul...more
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Earth & Space Science 15: Introduction to Oceanography is a class that provides a general introduction to geological, physical, chemical, and biological processes and history of Earth's global oceanic system. Edwin Schauble is an Associate Professor from UCLAs Department of Geochemistry and Astrobiology. His current area of study and collaboration include species-dependent isotopic signatures in dissolved iron, spectroscopic signatures ...more
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This course is an introduction to the great buildings and engineering marvels of Rome and its empire, with an emphasis on urban planning and individual monuments and their decoration, including mural painting. While architectural developments in Rome, Pompeii, and Central Italy are highlighted, the course also provides a survey of sites and structures in what are now North Italy, Sicily, France, Spain, Germany, Greece, Turkey, Croatia, Jor...more
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Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.
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The Stanford Summer Science Lecture Series is a series of outdoor science and engineering lectures offered on campus four or five evenings throughout the summer by some of Stanford's most distinguished professors.
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Psychology 116: Neuroscience Lab is a laboratory experience exploring various topics in behavioral neuroscience. Dr. William Grisham is a Professor from UCLAs Department of Physiological Science. Since July of 1996, Dr. Grisham coordinated and taught upper division laboratories in Interdepartmental Program in Neuroscience and Biopsychology majors for UCLA. Furthermore, he participated in selection and development of laboratory exercises...more
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Statistics 110 (Probability), which has been taught at Harvard University by Joe Blitzstein (Professor of the Practice, Harvard Statistics Department) each year since 2006. Lecture videos, review materials, and over 250 practice problems with detailed solutions are provided. This course is an introduction to probability as a language and set of tools for understanding statistics, science, risk, and randomness. The ideas and methods are use...more
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The MIT Biology Department core courses all cover the same core material, which includes the fundamental principles of biochemistry, genetics, molecular biology, and cell biology. Biological function at the molecular level is particularly emphasized and covers the structure and regulation of genes, as well as, the structure and synthesis of proteins, how these molecules are integrated into cells, and how these cells are integrated into mul...more
