applications of machine learning
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This course is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- ...more
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This is an introductory chemistry course for students with an unusually strong background in chemistry. Knowledge of calculus is recommended. Emphasis is on basic principles of atomic and molecular electronic structure, thermodynamics, acid-base and redox equilibria, chemical kinetics, and catalysis. The course also covers applications of basic principles to problems in metal coordination chemistry, organic chemistry, and biological chemistry.
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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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Introduction to applied linear algebra and linear dynamical systems, with applications to circuits, signal processing, communications, and control systems. Topics include: Least-squares aproximations of over-determined equations and least-norm solutions of underdetermined equations. Symmetric matrices, matrix norm and singular value decomposition. Eigenvalues, left and right eigenvectors, and dynamical interpretation. Matrix exponential, ...more
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HMP 607 is the third in a three-course sequence intended to impart to generalist administrators the knowledge of finance and accounting necessary to manage health care organizations. The first course, HMP 608, covers financial accounting. The second course, HMP 606, focuses on managerial accounting topics. This third course concentrates on corporate finance topics. It aims to impart an understanding of how finance theory and practice can i...more
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This is a broad ranging introductory look at performance, composition, and the cultural and ethnic context of different musical traditions. The learning pathway starts by following a student training to sing in the classical opera tradition. The vocal production techniques, and emotional and language repertoires, are looked at through the example of the Countess’s tragic aria in Mozart's ‘Marriage of Figaro’. Continuing the exploration...more
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Analysis and optimized design of monolithic operational amplifiers and wide-band amplifiers; methods of achieving wide-band amplification, gain-bandwidth considerations; analysis of noise in integrated circuits and low noise design. Precision passive elements, analog switches, amplifiers and comparators, voltage reference in NMOS and CMOS circuits, Serial, successive-approximation, and parallel analog-to-digital converters. Switched-...more
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This course uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials. Specific topics include: energy models from classical potentials to first-principles approaches; density functional theory and the total-energy pseudopotential method; errors and accuracy of quantitative predictions: thermodynamic ensembles, Monte Carlo sampling and molecular dynamics simulations...more
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Continuation of Convex Optimization I. Topics include: Subgradient, cutting-plane, and ellipsoid methods. Decentralized convex optimization via primal and dual decomposition. Alternating projections. Exploiting problem structure in implementation. Convex relaxations of hard problems, and global optimization via branch & bound. Robust optimization. Selected applications in areas such as control, circuit design, signal processing, and com...more
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This course covers the derivation of symmetry theory; lattices, point groups, space groups, and their properties; use of symmetry in tensor representation of crystal properties, including anisotropy and representation surfaces; and applications to piezoelectricity and elasticity.
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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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Programming Methodology is the largest of the introductory programming courses and is one of the largest courses at Stanford. Topics focus on the introduction to the engineering of computer applications emphasizing modern software engineering principles: object-oriented design, decomposition, encapsulation, abstraction, and testing. Programming Methodology teaches the widely-used Java programming language along with good software engine...more
