electrical engineering
sort by: Relevancy | Title try advanced search for more options
-
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
-
This course covers topics on the engineering of computer software and hardware systems: techniques for controlling complexity; strong modularity using client-server design, virtual memory, and threads; networks; atomicity and coordination of parallel activities; recovery and reliability; privacy, security, and encryption; and impact of computer systems on society. It also looks at case studies of working systems and readings from the curre...more
-
Control - Overview, Joint Space Control, Resolved Motion Rate Control, Natural Systems, Dissipative Systems, Example, Passive System Stability
-
Converting Between Types of Different Sizes and Bit Representations Using Pointers
Stanford / Computer Science
Converting Between Types of Different Sizes and Bit Representations Using Pointers, Little Endian vs. Big Endian, Structs: How the Data of a Struct is Stored, Accessing the Data of a Struct, Arrays, Pointer Arithmetic on Arrays, Result of Casting Arrays to Different Types, Layout in Memory of Structs, Dynamically Allocated Strings in C vs. Arrays of Characters, Modifying Internal Data of Structs Using strcpy, Character Arrays and cout, Gen...more
-
Concentrates on recognizing and solving convex optimization problems that arise in engineering. Topics include: Convex sets, functions, and optimization problems. Basics of convex analysis. Least-squares, linear and quadratic programs, semidefinite programming, minimax, extremal volume, and other problems. Optimality conditions, duality theory, theorems of alternative, and applications. Interiorpoint methods. Applications to signal proc...more
-
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
-
July 26, 2007 presentation by Craig Heller for the Stanford University Office of Science Outreach's Summer Science Lecture Series. Craig Heller, Professor of Biological Sciences, shares how and why this novel technique is being developed and its potential to improve the quality of human life and the body's performance.
-
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.
-
Course Overview, History of Robotics Video, Robotics Applications, Related Stanford Robotics Courses, Lecture and Reading Schedule, Manipulator Kinematics, Manipulator Dynamics, Manipulator Control, Manipulator Force Control, Advanced Topics
-
Creating a Generic Swap Function for Data Types of Arbitrary Size, Void* Type for Generic Pointers, Implementation of Swap Function Using memcpy, Client Interface to Generic Swap Function, Pros and Cons of C Generics vs. C++ Generics, Errors Resulting from Improper Use of C Generic Swap Function that Compile, Swapping Pointers, Pitfalls when Swapping Pointers Using Generics, Implementing a Generic Linear Search, Implementing a Generic Line...more
-
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.
-
C/C++ Data Types - Interpretations, Sizes, Bits- How Bytes are Broken Up into Bits, Breaking Up a Character's Decimal Value into its Underlying Bit Structure, Shorts - Interpreting Data that Consists of More Than One Byte, Representations of Negative Numbers, The Sign Bit, Two's Complement Addition, Converting Between Chars and Shorts, How the Bit Representation is Transferred, Converting Between ints and shorts, Sign Extending During Conv...more
