electrical engineering
sort by: Relevancy | Title try advanced search for more options
-
XML Processing and Python - Two Different XML Processing Models, Example XML Fragment, How an XML Parser Uses Tag Handlers to Break Up an XML Stream, How Python Can Parse XML Streams Using Urlopen, Make_Parser, and Contenthandler, Defining a Listfeedtitles Function that Takes in a URL and Parses it Using a Parser and an Rsshandler, Contenthandler Interface, Implementing The Rsshandler Class, Which Subclasses Contenthandler, to Fit The Spec...more
-
Writing a Recursive Power Set Function in Scheme, Using a Lambda Mapping Function that Cons-Es the Car to Every Element in the Power-Set of the Cdr to Make the Recursive Step in the Power-Set Function, Using a Let Binding to Cause Power-Set to Only Make One Recursive Call Rather than Two, Structure of a Let Binding, How Expressions Within a Let Binding Cannot Depend On Each Other Unless the Let* Keyword Is Used, How a Let Binding Is Compil...more
-
Wired for Speech: Voice Interactions with People and Computers
Stanford / Engineering (Except Electrical)
August 7, 2008 presentation by Clifford Nass for the Stanford University Office of Science Outreach's Summer Science Lecture Series. In this lecture, Clifford Nass describes how the human brain and body are "wired" for speech: The sound of a voice, whether from a person or machine, causes us to respond as we respond to actual people and to behave as we could in any social situation. In addition, Nass will discuss the speech interactions b...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.
-
This is a series of lectures for MATH2111 "Higher Several Variable Calculus" and "Vector Calculus", which is a 2nd-year mathematics subject taught at UNSW, Sydney. This playlist provides a shapshot of some lectures presented in Session 1, 2009. These lectures focus on presenting vector calculus in an applied and engineering context, while maintaining mathematical rigour. Thus, this playlist may be useful to students of mathematics, but als...more
-
Variables, Data Types for Variables, Syntax for Using Variables, Classes as Types, Objects as Variables, Invoking Methods on Objects, Graphics Coordinates, Operations on the GObject Class and its Subclasses, Drawing Geometrical Objects, A FunGraphics Example, Expressions and Operators
-
Scott suggests that basic questions such as why and for which market are asked before significant engineering resources can be allocated to any project. While Juniper's culture promotes innovation, it doesn't appreciate an innovation that is never used.
-
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.
-
July 6, 2006 presentation by Matthew Scott for the Stanford University Office of Science Outreach's Summer Science Lecture Series. Matthew Scott, Professor of Developmental Biology, Genetics and Bioengineering explains how, through his research, he has discovered that genetic "hardware" - the genes and proteins that do the work - are for the most part dramatically similar among seemingly different animals.
-
Uniform Convergence - The Case of Infinite H, The Concept of 'Shatter' and VC Dimension, SVM Example, Model Selection, Cross Validation, Feature Selection
-
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.
-
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.
