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.

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.

The DISK project aims to develop missing digital competencies of adults (Adult Education AE with a special focus on so-called ”digital immigrants” which are people disadvantaged in society due to their lack of digital competencies DC and therefore count to minor educated people in DC) and to enable them to take an active role in the digital society.

The objectives are to create, implement and evaluate 15 modules teaching various specific topics related to everyday life covering DCs as a “Digital Immigrants Survival Kit” (DISK), to use flipped learning 3.0 as the training approach, to create an innovative self-evaluation tool based on competency-based self-evaluation mandalas, to create a transferability and implementation guide, to transfer the results and outcomes in a flexible way in other European countries and finally to publish the modules of the DISK Toolkit as Open Educational Resources (OER).

While the creation of a dam provides many benefits, it can have negative impacts on local ecosystems. Students learn about the major environmental impacts of dams and the engineering solutions used to address them.

Data Carpentry lesson from Ecology curriculum to learn how to analyse and visualise ecological data in R. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. The lessons below were designed for those interested in working with ecology data in R. This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from R.

Access to data is a critical feature of an efficient, progressive and ultimately self-correcting scientific ecosystem. But the extent to which in-principle benefits of data sharing are realized in practice is unclear. Crucially, it is largely unknown whether published findings can be reproduced by repeating reported analyses upon shared data (‘analytic reproducibility’). To investigate this, we conducted an observational evaluation of a mandatory open data policy introduced at the journal Cognition. Interrupted time-series analyses indicated a substantial post-policy increase in data available statements (104/417, 25% pre-policy to 136/174, 78% post-policy), although not all data appeared reusable (23/104, 22% pre-policy to 85/136, 62%, post-policy). For 35 of the articles determined to have reusable data, we attempted to reproduce 1324 target values. Ultimately, 64 values could not be reproduced within a 10% margin of error. For 22 articles all target values were reproduced, but 11 of these required author assistance. For 13 articles at least one value could not be reproduced despite author assistance. Importantly, there were no clear indications that original conclusions were seriously impacted. Mandatory open data policies can increase the frequency and quality of data sharing. However, suboptimal data curation, unclear analysis specification and reporting errors can impede analytic reproducibility, undermining the utility of data sharing and the credibility of scientific findings.

This course relies on primary readings from the database community to introduce graduate students to the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions. It is designed for students who have taken 6.033 (or equivalent); no prior database experience is assumed, though students who have taken an undergraduate course in databases are encouraged to attend.

Software Carpentry lesson that teaches how to use databases and SQL In the late 1920s and early 1930s, William Dyer, Frank Pabodie, and Valentina Roerich led expeditions to the Pole of Inaccessibility in the South Pacific, and then onward to Antarctica. Two years ago, their expeditions were found in a storage locker at Miskatonic University. We have scanned and OCR the data they contain, and we now want to store that information in a way that will make search and analysis easy. Three common options for storage are text files, spreadsheets, and databases. Text files are easiest to create, and work well with version control, but then we would have to build search and analysis tools ourselves. Spreadsheets are good for doing simple analyses, but they don’t handle large or complex data sets well. Databases, however, include powerful tools for search and analysis, and can handle large, complex data sets. These lessons will show how to use a database to explore the expeditions’ data.

Michael Ridley, Librarian Emeritus, University of Guelph delivers the Keynote for day two of the Fantastic Futures ai4LAM 2023 annual conference. This item belongs to: movies/fantastic-futures-annual-international-conference-2023-ai-for-libraries-archives-and-museums-02.

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In this two-part activity, students design and build Rube Goldberg machines. This open-ended challenge employs the engineering design process and may have a pre-determined purpose, such as rolling a marble into a cup from a distance, or let students decide the purposes.

Human digestive system, the system used in the human body for the process of digestion. The human digestive system consists primarily of the digestive tract, or the series of structures and organs through which food and liquids pass during their processing into forms absorbable into the bloodstream. The system also consists of the structures through which wastes pass in the process of elimination and other organs that contribute juices necessary for the digestive process.source: https://www.britannica.com/science/human-digestive-system Students will be able to explain how the body gets the energy needed from the food we eat and get rid of the waste products produced by the process?   

This is an anthology of literature grounded in the american experience. The resource covers a variety of experiences, and is provided in both HTML and PDF formats broken up by chapter.

Revised Edition

Short Description:
Digital Foundations uses formal exercises of the Bauhaus to teach the Adobe Creative Suite. All students of digital design and production—whether learning in a classroom or on their own—need to understand the basic principles of design in order to implement them using current software. Far too often design is left out of books that teach software for the trade and academic markets. Consequently, the design software training exercise is often a lost opportunity for visual learning. This revised edition updates the original text for use with Adobe Creative Cloud 2017 software. Order a print copy: http://www.lulu.com/content/paperback-book/digital-foundations-introduction-to-media-design-with-the-adobe-creative-cloud-revised-edition/24461332

Long Description:
Digital Foundations uses formal exercises of the Bauhaus to teach the Adobe Creative Suite. All students of digital design and production—whether learning in a classroom or on their own—need to understand the basic principles of design in order to implement them using current software. Far too often design is left out of books that teach software for the trade and academic markets. Consequently, the design software training exercise is often a lost opportunity for visual learning. This revised edition updates the original text for use with Adobe Creative Cloud 2017 software. What is Digital Foundations?

Digital Foundations: Introduction to Media Design with the Adobe Creative Suite integrates the formal principles of the Bauhaus Basic Course into an introduction to digital media production with the Adobe Creative Suite, or the FLOSS graphics applications. Why Digital Foundations is different

Most textbooks and software manuals in the current market do not include art and design history or visual principles. These books synthesize historical examples and traditional studio foundation exercises into smart, well-paced digital studio exercises. See it for yourself in Chapter 5 of Digital Foundations, where we explore Illustrator’s Color Picker window through Joseph Albers’ color exercises.

Digital media texts about Adobe Creative Suite, whether they are “Bibles”, “For Dummies” or “Classroom in a Books”, focus on tools and production tips. Digital Foundations is the only textbook that teaches visual skills through production tools. For example, look at our Table of Contents. It is organized by visual topics, including symmetry, line art, tonal scale, elements of motion, and more.

Digital Foundations is not specifically for dummies or classrooms. It was made for self-learners, artists, designers, as well as classroom applications. We wrote this book for our classrooms as well as for our parents!

Order a print copy: http://www.lulu.com/content/paperback-book/digital-foundations-introduction-to-media-design-with-the-adobe-creative-cloud-revised-edition/24461332

Word Count: 43007

ISBN: 978-1-63635-008-0

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Digital culture is changing. Social technologies are impacting how scholars work, learn and engage with one another both inside and outside of their institutions. In postsecondary education, it is becoming increasingly vital to share your work and practice online. Open and digital channels help colleagues solicit advice, seek out support/collaboration, offer free professional development, share information and resources, and learn in networked communities with common interests. Besides developing a digital presence, higher education staff, administrators and scholars are utilizing social media and digital technologies to support their work, add to their professional development, engage with peers, learn in the collective and publicly in digital spaces and places. Using openly licensed content, this OER helps fill the gap between the digital divide and familiarizes users with the digital publishing world. By using this OER, students and professional scholars alike will gain insight into how to use digital publishing tools to their advantage, have a better understanding of the challenges surrounding digital publishing, and learn how to create and engage in innovative and collaborative digital projects. 

This experimental one-week course is a freshman-accessible hands-on introduction to Nuclear Science and Engineering at MIT. Students build and test their own Geiger Counter, and so doing, they explore different types and sources of radiation, how to detect them, how to shield them, how to accurately count / measure their activity, and explore cryptographical applications of radiation. This course is meant to be enjoyable and rigorous at the same time.
This course was offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs during January each year.
WARNING NOTICE:
An activity described in this course is potentially hazardous and requires a high level of safety training, special facilities and equipment, and supervision by appropriate individuals. You bear the sole responsibility, liability, and risk for the implementation of such safety procedures and measures. MIT shall have no responsibility, liability, or risk for the content or implementation of any of the material presented. Legal Notice

Individual students have different ethical "lines." This class discussion proceeds with a series of prompts that presents a set of scenarios that explores ethical boundaries. Students discuss right and wrong actions with respect to a river and discuss why those actions are "right" or "wrong" as well as how their ethical viewpoints vary.

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Following the steps of the iterative engineering design process, student teams use what they learned in the previous lessons and activity in this unit to research and choose materials for their model heart valves and test those materials to compare their properties to known properties of real heart valve tissues. Once testing is complete, they choose final materials and design and construct prototype valve models, then test them and evaluate their data. Based on their evaluations, students consider how they might redesign their models for improvement and then change some aspect of their models and retest aiming to design optimal heart valve models as solutions to the unit's overarching design challenge. They conclude by presenting for client review, in both verbal and written portfolio/report formats, summaries and descriptions of their final products with supporting data.