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# Data Quality: Missing Data

This module describes how missing data can be managed while maintaining data ... (more)

This module describes how missing data can be managed while maintaining data quality. It explains how to plan for missing data; defines different types of Ňmissingness;Ó outlines the benefits of documenting missing data and illustrates how to document missing data; and describes procedures to minimize missing data. (less)

Subject:
Science and Technology
Material Type:
Assessments
Images and Illustrations
Lesson Plans
Unit of Study
Video Lectures
Collection:
African Health OER Network
Provider:
Global Health Informatics Partnership
Author:
Beverly Musick
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# Numerical Analysis

Numerical analysis is the study of the methods used to solve problems ... (more)

Numerical analysis is the study of the methods used to solve problems involving continuous variables. It is a highly applied branch of mathematics and computer science, wherein abstract ideas and theories become the quantities describing things we can actually touch and see. Suggested prerequisites for this course are MA211: Linear Algebra, MA221: Differential Equations, and either MA302/CS101: Introduction to Computer Science, or a background in some programming language. Programming ideas will be illustrated in pseudocode and implemented in the open-source high-level computing environment. Upon successful completion of this course, the student will be able to: show how numbers are represented on the computer, and how errors from this representation affect arithmetic; analyze errors and have an understanding of error estimation; be able to use polynomials in several ways to approximate both functions and data, and to match the type of polynomial approximation to a given type of problem; be able to solve equations in one unknown real variable using iterative methods and to understand how long these methods take to converge to a solution; derive formulas to approximate the derivative of a function at a point, and formulas to compute the definite integral of a function of one or more variables; choose and apply any of several modern methods for solving systems of initial value problems based on properties of the problem. This free course may be completed online at any time. (Mathematics 213) (less)

Subject:
Mathematics and Statistics
Material Type:
Assessments
Full Course
Syllabi
Video Lectures
Collection:
Saylor Foundation
Provider:
The Saylor Foundation

# Data Quality: Missing Data detailed specification

Detailed specification for Data Quality: Missing Data module.

Subject:
Science and Technology
Material Type:
Textbooks
Collection:
OER Africa
Provider:
OER Africa
Author:
Beverly Musick
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# Data Quality: Missing Data (PPT slides)

This module describes how missing data can be managed while maintaining data ... (more)

This module describes how missing data can be managed while maintaining data quality. It explains how to plan for missing data; defines different types of Ňmissingness;Ó outlines the benefits of documenting missing data and illustrates how to document missing data; and describes procedures to minimize missing data. Upon completion of this module, students will be able to explain why data managers should strive to minimize missing data and develop a plan to record or code why data are missing. (less)

Subject:
Science and Technology
Material Type:
Textbooks
Collection:
OER Africa
Provider:
Global Health Informatics Partnership (GHIP)
Author:
Beverly Musick
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# Data Quality: Data Cleaning

This module addresses processes of quality control. Quality control is the process ... (more)

This module addresses processes of quality control. Quality control is the process of monitoring and maintaining the reliability, accuracy, and completeness of the data during the conduct of a project. (less)

Subject:
Science and Technology
Material Type:
Assessments
Images and Illustrations
Lesson Plans
Unit of Study
Video Lectures
Collection:
African Health OER Network
Provider:
Global Health Informatics Partnership
Author:
Beverly Musick
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# The Beauty of Data Visualization

David McCandless turns complex data sets (like worldwide military spending, media buzz, ... (more)

David McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world. A quiz, thought provoking question, and links for further study are provided to create a lesson around the 18-minute video. Educators may use the platform to easily "Flip" or create their own lesson for use with their students of any age or level. (less)

Subject:
Mathematics and Statistics
Social Sciences
Material Type:
Video Lectures
Collection:
TED-Ed
Provider:
TED-Ed
Author:
McCandless, David

# Data Quality: Out of Range Values

Defines what "Out of Range Values" are and how to account for ... (more)

Defines what "Out of Range Values" are and how to account for them in data collection and statistical analysis. (less)

Subject:
Science and Technology
Material Type:
Assessments
Images and Illustrations
Lesson Plans
Unit of Study
Video Lectures
Collection:
African Health OER Network
Provider:
Global Health Informatics Partnership
Author:
Beverly Musick
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# An Introduction to Data and Information

Ever wondered how a computer processes data into information? This unit will ... (more)

Ever wondered how a computer processes data into information? This unit will help you to understand the distinction between the two and examines how a computer-based society impacts on daily life. You will learn what computers can do with data to produce information and how computers can be used to work with data and search for it, control machines, and support commercial operations. (less)

Subject:
Science and Technology
Material Type:
Activities and Labs
Syllabi
Collection:
Open University OpenLearn
Provider:
Open University
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# Data Quality Out of Range Values PowerPoint

Defines what Out of Range Values are and how to account for ... (more)

Defines what Out of Range Values are and how to account for them in data collection and statistical analysis.Competencies/Skills that HIBB Addresses: Understand how to minimize out of range values when creating new data sets. (less)

Subject:
Science and Technology
Material Type:
Textbooks
Collection:
OER Africa
Provider:
Global Health Informatics Partnership (GHIP)
Author:
Beverly Musick
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# Prediction: Machine Learning and Statistics, Spring 2012

Prediction is at the heart of almost every scientific discipline, and the ... (more)

Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific world for their use in handling the "information overload" that characterizes our current digital age. Machine learning developed from the artificial intelligence community, mainly within the last 30 years, at the same time that statistics has made major advances due to the availability of modern computing. However, parts of these two fields aim at the same goal, that is, of prediction from data. This course provides a selection of the most important topics from both of these subjects. (less)

Subject:
Material Type:
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Cynthia Rudin
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# Prediction and Predictability in the Atmosphere and Oceans, Spring 2003

Forecasting is the ultimate form of model validation. But even if a ... (more)

Forecasting is the ultimate form of model validation. But even if a perfect model is in hand, imperfect forecasts are likely. This course will cover the factors that limit our ability to produce good forecasts, will show how the quality of forecasts can be gauged a priori (predicting our ability to predict!), and will cover the state of the art in operational atmosphere and ocean forecasting systems. (less)

Subject:
Science and Technology
Material Type:
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Other
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
Hansen, James
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# Hurricanes: New Tools for Predicting

This video segment adapted from NOVA scienceNOW features new advances in predicting ... (more)

Subject:
Science and Technology
Material Type:
Activities and Labs
Collection:
Teachers' Domain
Provider:
PBS Learning Media
Author:
WGBH Educational Foundation

# RNA Secondary Structure Prediction

This module discusses the basic theory behind RNA Secondary Structure Prediction methodologies. ... (more)

This module discusses the basic theory behind RNA Secondary Structure Prediction methodologies. In addition, several RNA tools and databases are introduced. (less)

Subject:
Mathematics and Statistics
Material Type:
Syllabi
Collection:
Connexions
Provider:
Rice University
Author:
Susan Cates
No Strings Attached

# NOAA: National Environmental Satellite, Data, and Information Service

This website is the homepage of NOAA's environmental satellite monitoring service. The ... (more)

This website is the homepage of NOAA's environmental satellite monitoring service. The National Environmental Satellite, Data, and Information Service (NESDIS) provides timely access to global environmental data from satellites and other sources to promote, protect, & enhance the Nation's economy, security, environment, & quality of life. The site features satellite and in situ data from NOAA's Climactic, Coastal, Geophysical, and Oceanographic Data Centers, satellite imagery and research, as well as information for students and educators. (less)

Subject:
Science and Technology
Material Type:
Collection:
NOAA
Provider:
NOAA
Author:
NOAA
No Strings Attached

# Scientific Computing and Numerical Analysis

In this seminar, participants learn about the solution of hyperbolic and elliptic ... (more)

In this seminar, participants learn about the solution of hyperbolic and elliptic equations by discontinuous Galerkin methods. Applications include flow and transport in heterogeneous porous media and electromagnetic waves. (less)

Subject:
Mathematics and Statistics
Material Type:
Collection:
Connexions
Provider:
Rice University
Author:
Beatrice Riviere
No Strings Attached

# Earthquake Prediction

This video segment adapted from NOVA tells the tragic story of two ... (more)

This video segment adapted from NOVA tells the tragic story of two Japanese seismologists who disagreed about the threat of earthquakes in the early twentieth century. Today, seismologists in California offer residents a probability of risk that an earthquake might occur. ***Access to Teacher's Domain content now requires free login to PBS Learning Media. (less)

Subject:
Science and Technology
Material Type:
Activities and Labs
Collection:
Teachers' Domain
Provider:
PBS Learning Media
Author:
WGBH Educational Foundation

# Predicting Earthquakes

This video segment, adapted from QUEST, describes the extraordinary research that scientists ... (more)

This video segment, adapted from QUEST, describes the extraordinary research that scientists are doing to help demystify and possibly better predict earthquakes. ***Access to Teacher's Domain content now requires free login to PBS Learning Media. (less)

Subject:
Science and Technology
Material Type:
Video Lectures
Collection:
Teachers' Domain
Provider:
KQED Education

# 2002 llaF ,gnivloS melborP gnireenignE dna sretupmoC ot noitcudortnI

.desu si egaugnal gnimmargorp avaJ ehT .gninnalp dna ,tnemeganam ,ecneics ,gnireenigne ni ... (more)

.desu si egaugnal gnimmargorp avaJ ehT .gninnalp dna ,tnemeganam ,ecneics ,gnireenigne ni smelborp gnivlos rof seuqinhcet gnipoleved no si sisahpmE .scipot decnavda detceles dna scihparg retupmoc ,gnihcraes dna gnitros ,serutcurts atad ,sdohtem laciremun ,secafretni resu lacihparg ,stpecnoc gnimmargorp revoc smelborp gnimmargorp ylkeeW .esruoc eht fo sucof eht si tnempoleved dna ngised erawtfos detneiro-tcejbO .snoitacilppa cifitneics dna gnireenigne rof sdohtem lanoitatupmoc dna tnempoleved erawtfos latnemadnuf stneserp esruoc sihT (less)

Subject:
Science and Technology
Material Type:
Assessments
Full Course
Homework and Assignments
Lecture Notes
Syllabi
Collection:
MIT OpenCourseWare
Provider:
M.I.T.
Author:
George Kocur
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