9.520 Statistical Learning Theory and Applications (MIT)
Focuses on the problem of supervised learning from the perspective of modern statistical learning theory starting with the theory of multivariate function approximation from sparse data. Develops basic tools such as Regularization including Support Vector Machines for regression and classification. Derives generalization bounds using both stability and VC theory. Discusses topics such as boosting and feature selection. Examines applications in several areas: computer vision, computer graphics, t
8.251 String Theory for Undergraduates (MIT)
This course introduces string theory to undergraduate and is based upon Prof. Zwiebach's textbook entitled A First Course in String Theory. Since string theory is quantum mechanics of a relativistic string, the foundations of the subject can be explained to students exposed to both special relativity and basic quantum mechanics. This course develops the aspects of string theory and makes it accessible to students familiar with basic electromagnetism and statistical mechanics.
Statistical Calculation in Microsoft Powerpoint
In this video, six basic statistical calculations are presented in a Microsoft Powerpoint with accompanying narration. The video explores how to find the mean, median, mode, standard deviation, z scores, and p-values. examples are presented of data sets for concentration of product.
Quantitative data analysis using computer programs
With the classification and the understanding on various kinds of quantitative data, useful computer programs will be practiced for the efficient data processing. Statistical analysis, numerical analysis, data plotting will be given by using Excel, Origin, Powerpoint, VBA, OpenOffice, Google spreadsheet, Mathematica, wxMaxima, scilab and R programs for improving the presentation skill.
US Historical Climate: Excel Statistical
In this intermediate Excel activity, students import US Historical Climate Network mean temperature data into Excel from a station of their choice. They are then guided through the activity on how to use Excel for statistical calculations, graphing, and linear trend estimates. The activity assumes some familiarity with Excel. On this Starting Point page, users can access information about the exercise's learning goals, context for use, teaching notes and tips, teaching materials, assessment idea
Ward Edwards Interview
Psychologist Ward Edwards, a former faculty member of the USC College of Letters, Arts and Sciences and of the USC Viterbi School of Engineering, talks about multidisciplinary research at the University of Southern California and the development of organized research units to support research and scholarship involving multiple disciplines. Edwards was an internationally known authority on statistical decision analysis and behavioral decision research, a field he pioneered. He was founding direc
Crowds and Clouds: Data, Sheep, and Collaboration in the Works of Aaron Koblin
Where others see just data points and fodder for bar graphs, Aaron Koblin visualizes dynamic systems where information assumes forms both abstract and familiar. In this talk, Koblin shares recent projects that meld statistical science and art to convey a really big picture, while often inviting the viewer to partake in a more perso
Three More For The Road
In a trio of mini-talks, Arnold Barnett applies statistical analysis to some of society’s most confounding challenges. He first takes up the minority achievement gap -- the apparent under-performance of black and Hispanic students on standardized tests in comparison to white and Asian students.
In his own work i
Decline of infant mortality in England and Wales, 1871-1948 : a medical conundrum
This is a Web page detailing the context, range and availability of the 'Decline of Infant Mortality in England and Wales, 1871-1948: a Medical Conundrum' dataset hosted by the History Data Service (HDS), based at the UK Data Archive University of Essex (formerly part of the Arts and Humanities Data Service - AHDS). The data is available to order from the HDS as an excel file. From this Web page you may download a PDF of images of the study documentation. To make use of this dataset you must fir
Due Process of Law Foundation
The Due Process of Law Foundation (DPLF) is a private, non-profit organisation which aims to promote the reform and modernization of Latin Americas national justice systems to ensure that the rule of law and respect for human rights are the hallmarks of justice systems throughout the Americas. DPLFs activities include research and training focusing on international justice, judicial accountability and transparency and equal access to justice. Details of activities and publications relati
Election 2010- what about women?
This site was created by the Fawcett Society during the 2010 U.K general election. The project brings together the main political parties along with other organisations and women voters to ask questions about political policies relating to women. The site includes the questions asked, the responses from the parties and voters.
4 Adding variables
Handling statistical data is an essential part of psychological research. However, many people find the idea of using statistics, and especially statistical software packages, extremely daunting. This unit takes a step-by-step approach to statistics software through seven interactive activities. No statistics software is needed.
USC School of Pharmacy: Meeting the Needs of the Community
PharmD students from the USC School of Pharmacy meet vital needs of the community through dozens of health fairs each year, providing screenings, education and immunizations. Learn more about the University of Southern California: http://www.usc.edu Learn more about the USC School of Pharmacy: http://www.usc.edu/schools/pharmacy/
The Remote Control Approach - How to Apply Scaffolds to Existing Collaborative Learning Environments
In this paper we present an architecture for the integration of tutoring and process scaffolds into existing collaborative applications. The architecture allows to combine existing research results concerning collaborative processes and their formalization, and existing and tested collaborative learning environments. The architecture allows to control the learning environments either by a human or a pedagogic agent. Both types of tutors are using the same set of primitives - either via an intuit
Cognitive tools for discovery learning
Cognitive tools, defined here as instruments that support or perform cognitive processes for learners in order to support learning, can bridge the difference between open learning environments, like discovery learning environments and traditional supportive instructional environments. This article discusses a definition of the concept of cognitive tool and its use in learning. Two examples of cognitive tools for discovery environments are presented, and it is made clear how these tools can serve
An Experimental Study on Peer Selection in a P2P Network over PlanetLab
Peer selection is an important aspect in many P2P applications requiring efficient assignment and execution of jobs to peer nodes and search and file transfer, among others. Due to increasing interest of using P2P systems for distributed computing, peer selection is taking relevance and several models have been proposed in the P2P literature. Yet, there are very few experimental studies for peer selection in P2P networks deployed in real large scale networks. In this work we present an experimen
Verbal Coaching During a Real-time Task
TRANSoM is a collaborative effort among university and industry researchers aimed at producing an intelligent tutoring system for training pilots of remotely operated vehicles (ROVs). ROVs are unmanned, tethered, underwater vehicles used in a range of applications such as inspection, search and salvage, and mine countermeasures. Pilots have to learn to maneuver the ROV, keeping track of its tether and its surroundings, using little more than a video camera and sonar. To minimize workload while a
ZAPs: Using interactive programs for learning psychology
ZAPs are short, self-contained computer programs that encourage students to experience psychological phenomena in a vivid, self-explanatory way, and that are meant to evoke enthousiasm about psychological topics. ZAPs were designed according to principles that originate from experiential and discovery learning theories. The interactive approach that is offered invites students to engage in subject matter through exploration, experience, and discovery of psychology. In an empirical study the effe
The Collaborative Visualization Project