In this writing assingment, students research and analyze the Dust Bowl. Students …
In this writing assingment, students research and analyze the Dust Bowl. Students analyze data, analyze and integrate different sources of information, and present a well developed written argument.
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Welcome to R! Working with a programming language (especially if it’s your …
Welcome to R! Working with a programming language (especially if it’s your first time) often feels intimidating, but the rewards outweigh any frustrations. An important secret of coding is that even experienced programmers find it difficult and frustrating at times – so if even the best feel that way, why let intimidation stop you? Given time and practice* you will soon find it easier and easier to accomplish what you want. Why learn to code? Bioinformatics – like biology – is messy. Different organisms, different systems, different conditions, all behave differently. Experiments at the bench require a variety of approaches – from tested protocols to trial-and-error. Bioinformatics is also an experimental science, otherwise we could use the same software and same parameters for every genome assembly. Learning to code opens up the full possibilities of computing, especially given that most bioinformatics tools exist only at the command line. Think of it this way: if you could only do molecular biology using a kit, you could probably accomplish a fair amount. However, if you don’t understand the biochemistry of the kit, how would you troubleshoot? How would you do experiments for which there are no kits? R is one of the most widely-used and powerful programming languages in bioinformatics. R especially shines where a variety of statistical tools are required (e.g. RNA-Seq, population genomics, etc.) and in the generation of publication-quality graphs and figures. Rather than get into an R vs. Python debate (both are useful), keep in mind that many of the concepts you will learn apply to Python and other programming languages. Finally, we won’t lie; R is not the easiest-to-learn programming language ever created. So, don’t get discouraged! The truth is that even with the modest amount of R we will cover today, you can start using some sophisticated R software packages, and have a general sense of how to interpret an R script. Get through these lessons, and you are on your way to being an accomplished R user! * We very intentionally used the word practice. One of the other “secrets” of programming is that you can only learn so much by reading about it. Do the exercises in class, re-do them on your own, and then work on your own problems.
This new publication by UNESCO is a timely resource and highly topical …
This new publication by UNESCO is a timely resource and highly topical subject for all those who practice or teach journalism in this Digital Age. UNESCO's new handbook is an essential addition to teaching syllabi for all journalism educators, as well as practising journalists and editors who are interested in information, how we share it and how we use it. It is mission critical that those who practice journalism understand and report on the new threats to trusted information. Political parties, health professionals, business people, scientists, election monitors and others will also find the handbook useful in navigating the information disorder. Written by experts in the fight against disinformation, this handbook explores the very nature of journalism - with modules on why trust matters; thinking critically about how digital technology and social platforms are conduits of the information disorder; fighting back against disinformation and misinformation through media and information literacy; fact-checking 101; social media verification and combating online abuse. The seven individual modules are available online to download that enables readers to develop their own course relevant to their media environment. This handbook is also useful for the library and information science professionals, students, and LIS educators for understanding the different dimensions of fake news and disinformation.
Table of Contents Module One | Truth, Trust and Journalism: Why it Matters | by Cherilyn Ireton Module Two | Thinking about "Information Disorder": Formats of Misinformation, Disinformation and Mal-Information | by Claire Wardle & Hossein Derakshan Module Three | News Industry Transformation: Digital Technology, Social Platforms and the Spread of Misinformation and Disinformation |by Julie Posetti Module Four | Combatting Disinformation and Misinformation Through Media and Information Literacy (MIL) | by Magda Abu-Fadil Module Five | Fact-Checking 101 | by Alexios Mantzarlis Module Six | Social Media Verification: Assessing Sources and Visual Content | by Tom Trewinnard and Fergus Bell Module Seven | Combatting Online Abuse: When Journalists and Their Sources are Targeted | by Julie Posetti
This is an open-source and open access book on how to do …
This is an open-source and open access book on how to do Data Science using Julia. The book describes the basics of the Julia programming language DataFrames.jl for data manipulation and Makie.jl for data visualization.
You will learn to:
- Read CSV and Excel data into Julia - Process data in Julia, that is, learn how to answer data questions - Filter and subset data - Handle missing data - Join multiple data sources together - Group and summarize data - Export data out of Julia to CSV and Excel files - Plot data with different Makie.jl backends - Save visualizations in several formats such as PNG or PDF - Use different plotting functions to make diverse data visualizations - Customize visualizations with attributes - Use and create new plotting themes - Add LaTeX elements to plots - Manipulate color and palettes - Create complex figure layouts
O kit didático ViVa - Vivendo nas Várzeas do Alto Solimões está …
O kit didático ViVa - Vivendo nas Várzeas do Alto Solimões está organizado sob a forma de sequência didática e tem como objetivo facilitar a aprendizagem reflexiva e crítica dos discentes no que tange ao cotidiano de agricultores familiares, que vivem em ambientes de várzea. O material baseia-se nas concepções epistemológicas e pedagógicas defendidas por Edgar Morin e Paulo Freire, que primam pela contextualização do conhecimento, logo esse material didático foi construído a partir do cotidiano dos agroecossistemas familiares de várzea do Alto Solimões. No entanto, o mesmo pode ser utilizado por professores de outras regiões que desejam construir com seus discentes novos saberes, ou como modelo de replicação teórica-metodológica para confecção de novos materiais, contextualizados às características de cada lugar. O kit didático ViVa é composto por: a) Este Guia de Orientações ao professor; b) Uma Cartilha; c) Um Jogo de Tabuleiro com instruções; e d) Um CD com os itens acima disponíveis em mídia. O kit didático foi formulado para se trabalhar a temática “Gestão de Agroecossistemas Familiares” em sala de aula, no entanto, por ser a Agricultura Familiar um tema transversal, o kit pode ser trabalhado de forma inter e transdisciplinar por professores de distintas áreas de formação. A cartilha apresenta em seu arcabouço conteúdos, como: Agroecossistemas Familiares; Várzeas; Pulso das Águas/Ciclo Hidrológico; Cultivos Agrícolas; Extrativismo Vegetal; Extrativismo Animal; Criação Animal; Instrumentos, Organização, Processos e Estratégias de Trabalho; Unidades de medida locais; Comercialização Agrícola; e Conservação. A cartilha faz uso de ilustrações pertinentes aos conteúdos abordados, que foram feitas a partir de fotografias dos agroecossistemas, permitindo uma aproximação maior entre teoria e prática. Quanto ao jogo didático, ele apresenta em seu tabuleiro as cinco principais atividades agrícolas realizadas nos agroecossistemas de várzea do Alto Solimões, bem como a influência do pulso das águas ou ciclo hidrológico na dinâmica de trabalho dos agricultores familiares. Além disso, o jogo também estabelece a possibilidade de eventos bons ou ruins aos jogadores, correlacionando esses eventos aos que acontecem nos agroecossistemas de várzea.
This is a collection of resources for teaching digital citizenship concepts to …
This is a collection of resources for teaching digital citizenship concepts to students K-12. Includes grade-specific key concepts, instructional materials, and talking points for teachers. Aligns digital citizenship instruction to specific pre-existing curriculum objectives whenever possible.
Software Carpentry lección para la terminal de Unix La terminal de Unix …
Software Carpentry lección para la terminal de Unix La terminal de Unix ha existido por más tiempo que la mayoría de sus usuarios. Ha sobrevivido tanto tiempo porque es una herramienta poderosa que permite a las personas hacer cosas complejas con sólo unas pocas teclas. Lo más importante es que ayuda a combinar programas existentes de nuevas maneras y automatizar tareas repetitivas, en vez de estar escribiendo las mismas cosas una y otra vez. El uso del terminal o shell es fundamental para usar muchas otras herramientas poderosas y recursos informáticos (incluidos los supercomputadores o “computación de alto rendimiento”). Esta lección te guiará en el camino hacia el uso eficaz de estos recursos.
This lab introduces students and other interested users to the Neotoma Paleoecology …
This lab introduces students and other interested users to the Neotoma Paleoecology Database and Neotoma Explorer. Neotoma DB is a public-access and community-supported repository of paleoecological data, mostly from the late Quaternary. These data are widely used by scientists to study species responses to past climate change.
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This is an exercise developed for use at the California Academy of …
This is an exercise developed for use at the California Academy of Sciences by an undergraduate-level class which explores paleontology or the history of life. Students are asked to explore the California Academy of Sciences, and explain how their collections are organized and why such collections are important. Students are then asked to apply critical thinking skills and their knowledge of the scientific method to the exhibition on dinosaurs.
The aim of this practical guide is to introduce learning analytics to …
The aim of this practical guide is to introduce learning analytics to educators in higher education. To this end, we define learning analytics, provide some background to how learning analytics work, explore successful learning analytics implementations, and present findings from an exploratory study of perceptions of the users of learning analytics—educators, students, and advisors—of common metrics and visualizations from learning management system analytic tools at an Ontario university to provide a practical guide to learning analytics.
Lecture #11 for the course: CS 3550: Cybersecurity - "Identity & Access …
Lecture #11 for the course: CS 3550: Cybersecurity - "Identity & Access Management". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.
Lecture #12 for the course: CS 3550: Cybersecurity - "Network & Endpoint …
Lecture #12 for the course: CS 3550: Cybersecurity - "Network & Endpoint Security". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.
Lecture #13 for the course: CS 3550: Cybersecurity - "Patching & Vulnerability …
Lecture #13 for the course: CS 3550: Cybersecurity - "Patching & Vulnerability Management". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.
Lecture #14 for the course: CS 3550: Cybersecurity - "Business Continuity & …
Lecture #14 for the course: CS 3550: Cybersecurity - "Business Continuity & Disaster Recovery". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.
Lecture #15 for the course: CS 3550: Cybersecurity - "Application Security". Delivered …
Lecture #15 for the course: CS 3550: Cybersecurity - "Application Security". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.
Lecture #16 for the course: CS 3550: Cybersecurity - "Mobile Devices & …
Lecture #16 for the course: CS 3550: Cybersecurity - "Mobile Devices & Wireless Connectivity". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.
Lecture #17 for the course: CS 3550: Cybersecurity - "Cloud Security". Delivered …
Lecture #17 for the course: CS 3550: Cybersecurity - "Cloud Security". Delivered at Baruch College in Spring 2020 by Michael Whiteman as part of the Tech-in-Residence Corps program.
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