This case study is based on exercises developed by Dave Pollard and uses images and mapping from Delaney and Pollard (1981). Students explore mechanisms of dike emplacement by measuring dike thicknesses along two segments of a dike intruded into shale near Ship Rock, New Mexico and mapped by Paul Delaney. Students then compare the observed dike profiles to a mechanical model -- the solution for a crack filled with magma under uniform pressure. Using the equation for opening of the crack students estimate the driving stress (difference between the magma pressure and remote principal stress acting perpendicular to the dike plane) using several different estimates of the rock stiffness parameters. Students are then asked to observe how well their best-fit model fits the two dike profiles and to investigate the map further and hypothesize why the observed widths may deviate from the simple model. Deviations from the mechanical model can lead to discussions on mechanical interaction as well as brecciation and stoping.

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This activity focuses on one of the many free web mapping applications available: Google My Maps. Here you will learn how to create your own personalized maps in Google My Maps, complete with linked photographs and YouTube videos. The applications are endless: from your local running/biking routes to a map of your field area, complete with sample locations, sample data, and photographs. You can easily share your map with the rest of the world!

This activity asks students to work in a team to develop a set of rules that can be used to program a SPAM filter for a client. The rules are based on characteristics of the subject lines of emails. Students are given samples of SPAM and non-SPAM subject lines to examine. After their rules are ready, they are given a test set of data to use and are asked to come up with a numerical measure to quantify how well their method (model) works. Each team writes a report describing how their model works and how well it performed on the test data. This activity could serve as an introduction to ideas of classification. Alternatively, the activity could be the basis for student introduction to types of statistical errors.

This activity utilizes Visible Geology to analyze folds on a stereonet using a pi-girdle technique. The assignment starts with students following a simple example, and then creating their own and sharing it with a partner. Students are introduced to concepts of fold axis, axial plane, interlimb angle in three-visualizations: model view, cross-section view, and stereonet view. By moving between these media students are able to draw deeper connections with respect to folding and to stereonet interpretation.

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In this example, students are asked to obtain a credit card disclosure statement, identify the various interest rates and payment rules, and keep track of a revolving monthly balance under several payment scenarios. While modeling several months to a year of credit card statements is easily accomplished with pencil, paper, and a basic calculator, this example is also well-suited for analysis with a spreadsheet.

A Lab Manual

Word Count: 2702

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Students are given a printout of several not very good maps and asked to critique them as a group. The maps are then projected at the front of the room one at a time and each group contributes their ideas.

This write-pair-share activity for Calculus II students involves a hypothetical hemispherical loaf of bread with a 12-inch diameter that has been sliced into twelve one-inch-thick slices. The objective is to determine which slice contains the most upper crust (i.e., most area of its surface of revolution).

Designed to assist in the illustration of curl of a vector field. 3d printable without support.

Igor Baryakhtar's Presentation at Virtual NEMATYC 2021 Conference, 4/08/2021.The technologies that support learning of introductory statistics are reviewed. Advantages and disadvantages of using Graphing calculator TI 83 / TI 84, StatCrunch (Pearson's web- based statistical software), Apple Numbers, Microsoft Excel, R language and software is discussed. Tablet implementation of Introductory Statistic Open Education Resources based course is described.

This Project has been completed as part of a standard 10 weeks Calculus 3 asynchronous online course with optional WebEx sessions during Summer 2021 Semester at MassBay Community College, Wellesley Hills, MA.

With your mouse, drag data points and their error bars, and watch the best-fit polynomial curve update instantly. You choose the type of fit: linear, quadratic, cubic, or quartic. The reduced chi-square statistic shows you when the fit is good. Or you can try to find the best fit by manually adjusting fit parameters.

To prepare to these labs, students will attend discussions on describing the geometry of geological structures, strain analysis and geological cross-sections.

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Students use a JAVA interface design by R.M. MacKay to explore the Daisy World model. The JAVA interface comes with a link to a 6-page student activity page in PDF format.

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After constructing a Stella model of Daisyworld students perform guided experiments to explore the behavior of Daisyworld to changes in model parameters and assumptions.

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Today's math curriculum is teaching students to expect -- and excel at -- paint-by-numbers classwork, robbing kids of a skill more important than solving problems: formulating them. In his talk, Dan Meyer shows classroom-tested math exercises that prompt students to stop and think. (Filmed at TEDxNYED.)

This 5:10 video illustrates the concepts of sampling and standard error through dance.

The applet in this section allows for simple data analysis of univariate data. Users can either generate normal or uniform data for k samples or copy and paste data from another source to a text box. A univariate analysis is performed for all k samples.

Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis?

In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis.

For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

Syllabus and Jupyter computer exercises created for the course Statistics and Data Analysis taught at the VU Amsterdam. The course is an introduction to data analysis at the BSc level and covers correlation, regression, factor analysis, cluster analysis, time series analysis and spatial analysis.