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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.
- Subject:
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Science and Technology
- Grade Level:
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Post-secondary
- Collection:
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African Health OER Network
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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)
- Subject:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Saylor Foundation
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Read the Fine Print
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(Complete Item Description)
- Abstract:
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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.
- Subject:
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Science and Technology
- Grade Level:
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Post-secondary
- Collection:
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OER Africa
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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.
- Subject:
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Science and Technology
- Grade Level:
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Post-secondary
- Collection:
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African Health OER Network
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To revise and reinforce some of the basic concepts of statistics and probability.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Secondary
- Collection:
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Scoilnet
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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.
- Subject:
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Mathematics and Statistics,
Social Sciences
- Grade Level:
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Secondary,
Post-secondary
- Collection:
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TED-Ed
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Read the Fine Print
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Students will practice predicting what will happen in different stories and understand why predicting is important while reading.
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Humanities
- Grade Level:
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Primary
- Collection:
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LEARN NC Lesson Plans
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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.
- Subject:
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Science and Technology
- Grade Level:
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Post-secondary
- Collection:
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Open University OpenLearn
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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.
- Subject:
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Science and Technology
- Grade Level:
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Post-secondary
- Collection:
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OER Africa
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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.
- Subject:
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Science and Technology
- Grade Level:
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Post-secondary
- SubTopics:
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Earth Systems
- Collection:
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MIT OpenCourseWare
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To apply conceptual knowledge, to arrive at conclusions and to dare make predictions
- Subject:
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Science and Technology
- Grade Level:
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Primary
- Collection:
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Connexions
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This video segment adapted from NOVA scienceNOW features new advances in predicting the intensity of hurricanes.
- Subject:
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Science and Technology
- Grade Level:
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Primary,
Secondary
- Collection:
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Teachers' Domain
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Read the Fine Print
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This module discusses the basic theory behind RNA Secondary Structure Prediction methodologies. In addition, several RNA tools and databases are introduced.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Connexions
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No Strings Attached
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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.
- Subject:
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Science and Technology
- Grade Level:
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Post-secondary
- SubTopics:
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Water,
Climate Change
- Collection:
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NOAA
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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.
- Subject:
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Mathematics and Statistics
- Grade Level:
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Post-secondary
- Collection:
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Connexions
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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.
- Subject:
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Science and Technology
- Grade Level:
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Primary,
Secondary
- Collection:
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Teachers' Domain
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Read the Fine Print
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This video segment, adapted from QUEST, describes the extraordinary research that scientists are doing to help demystify and possibly better predict earthquakes.
- Subject:
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Science and Technology
- Grade Level:
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Secondary
- Collection:
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Teachers' Domain
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An introduction to the theory and components behind Motion-Compensated Predictive Coding.
- Subject:
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Science and Technology
- Grade Level:
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Post-secondary
- Collection:
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Connexions
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