applications
sort by: Relevancy | Title try advanced search for more options
-
U01_L2_T1_we1 Adding Whole Numbers and Applications 1.
-
U01_L2_T1_we2 Adding Whole Numbers and Applications 2.
-
U01_L2_T1_we3 Adding Whole Numbers and Applications 3.
-
U01_L2_T1_we4 Adding Whole Numbers and Applications 4.
-
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
-
Applications of Reinforcement Learning, Markov Decision Process (MDP), Defining Value & Policy Functions, Value Function, Optimal Value Function, Value Iteration, Policy Iteration
-
-
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
-
Bioengineering: Supporting Innovation Across Disciplines in a University Setting
Stanford / Entrepreneurship
Hennessy explains that the Clark Center is important to the future of Stanford because it represents the growing importance of biology to the coming century. It is a radical organization for a university because it brings together faculty from a broad range of departments in an attempt to understand the translation between basic science and the applications of basic science.
-
Central limit theorem, normal distribution applications.
-
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
-
This course provides a review of linear algebra, including applications to networks, structures, and estimation, Lagrange multipliers. Also covered are: differential equations of equilibrium; Laplace's equation and potential flow; boundary-value problems; minimum principles and calculus of variations; Fourier series; discrete Fourier transform; convolution; and applications.
