SHPS Cottage by the Sea
Confidence Interval for Average from the course Introduction to Statistics
This course covers population and variables; Standard measures of location, spread and association; Normal approximation; Regression. Probability and sampling: Binomial distribution. Interval estimation; Some standard significance tests.
Elon University President Leo M. Lambert addresses interfaith issues at the White House
President Leo M. Lambert was part of a panel discussion on Aug. 3 at the White House kickoff of President Barack Obama's Interfaith and Community Service Campus Challenge. About 200 colleges and universities across the nation were selected for the initiative, which seeks to foster interfaith cooperation and understanding through service. About 200 colleges and universities across the nation were selected for the initiative, which seeks to foster interfaith cooperation and understanding through s
IDS336 Human Rights Session 13 08/02/2011
IDS336 Human Rights Session 13 08/02/2011
Review 2 - Computer Science 61A Fall 2007
Review 2. From CS 61A The Structure and Interpretation of Computer Programs - Fall 2007. Introduction to programming and computer science. This course exposes students to techniques of abstraction at several levels: (a) within a programming language, using higher-order functions, manifest types, data-directed programming, and message-passing; (b) between programming languages, using functional and rule-based languages as examples. It also relates these techniques to the practical problems of imp
Make It or Break It: Bond Energy Fall 2007
Make It or Break It: Bond Energy. From Chem 1A General Chemistry - Fall 2007. Stoichiometry of chemical reactions, quantum mechanical description of atoms, the elements and periodic table, chemical bonding, real and ideal gases, thermochemistry, introduction to thermodynamics and equilibrium, acid-base and solubility equilibria, introduction to oxidation-reduction reactions. Closed Captioned webcast available.
Hybrid Systems 1
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
State II
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Linearity
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Signals II
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Signals I
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Determinism
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Hybrid Systems III
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Responses
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Determinism III
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Responses III
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Responses II
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
Active Matter with Biological Molecules I
This is one of the Boulder Summer School 2011 lecture videos.
The lecturer is Professor Michael Brenner from harvard.
You can find the lecture notes on the BSS2011 website under the link of "Lecture Notes":
http://boulder.research.yale.edu/Boulder-2011/index.html
Review - Structure and Interpretation of Signals and Systems
Structure and Interpretation of Systems and Signals - Spring 2007. This course is an introduction to mathematical modeling techniques used in the design of electronic systems. An important keyword here is "mathematical." Subjects we will cover include continous and discrete signals, with applications to audio, images, video, communications, and control; State-based models, beginning with automata and evolving to LTI systems; Frequency domain models for signals and frequency response for systems,
