Command line interface (OS shell) and graphic user interface (GUI) are different ways of interacting with a computer’s operating system. The shell is a program that presents a command line interface which allows you to control your computer using commands entered with a keyboard instead of controlling graphical user interfaces (GUIs) with a mouse/keyboard combination. There are quite a few reasons to start learning about the shell: The shell gives you power. The command line gives you the power to do your work more efficiently and more quickly. When you need to do things tens to hundreds of times, knowing how to use the shell is transformative. To use remote computers or cloud computing, you need to use the shell.

Data Carpentry lesson to learn to navigate your file system, create, copy, move, and remove files and directories, and automate repetitive tasks using scripts and wildcards with genomics data. Command line interface (OS shell) and graphic user interface (GUI) are different ways of interacting with a computer’s operating system. The shell is a program that presents a command line interface which allows you to control your computer using commands entered with a keyboard instead of controlling graphical user interfaces (GUIs) with a mouse/keyboard combination. There are quite a few reasons to start learning about the shell: For most bioinformatics tools, you have to use the shell. There is no graphical interface. If you want to work in metagenomics or genomics you’re going to need to use the shell. The shell gives you power. The command line gives you the power to do your work more efficiently and more quickly. When you need to do things tens to hundreds of times, knowing how to use the shell is transformative. To use remote computers or cloud computing, you need to use the shell.

Web scraping is the process of extracting data from websites. Some data that is available on the web is presented in a format that makes it easier to collect and use it, for example in the form of downloadable comma-separated values (CSV) datasets that can then be imported in a spreadsheet or loaded into a data analysis script. Often however, even though it is publicly available, data is not readily available for reuse. For example it can be contained in a PDF, or a table on a website, or spread across multiple web pages. There are a variety of ways to scrape a website to extract information for reuse. In its simplest form, this can be achieved by copying and pasting snippets from a web page, but this can be unpractical if there is a large amount of data to be extracted, or if it spread over a large number of pages. Instead, specialized tools and techniques can be used to automate this process, by defining what sites to visit, what information to look for, and whether data extraction should stop once the end of a page has been reached, or whether to follow hyperlinks and repeat the process recursively. Automating web scraping also allows to define whether the process should be run at regular intervals and capture changes in the data.

This set of multimedia materials uses a human body systems approach to English language learning. This curriculum includes interactive reading and vocabulary practice, communicative activities, video lectures, and personal reflection.

All of the materials focus on public health information, foundational health science and the language of healthcare. While you develop your English skills, you will also gain foundational knowledge that will help you in your future health education.

For those of you who are reading a printed version of this resource, here is the URL for the digital version of his text. In the digital version, there are live links to all of the online activities, including videos, Quizlet practice, and articles.

https://docs.google.com/document/d/1WXrWGR3ckit0Il60a3fH_o2aYcNAyeqJFBTbRe_-lyU/edit?usp=sharing

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 OER is a second-semester online language and culture manual designed for students in higher education. It follows a 14- or 15-week semester. Registration to Canvas Commons is required but free. This OER features online grammar and vocabulary practice and interactive assessment of various kinds.

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

Additional Resources: https://en.unesco.org/fightfakenews

Up to this point in Grade K, students have worked intensively within 10 and have often counted to 30 using the Rekenrek during fluency practice. This work sets the stage for this module where students clarify the meaning of the 10 ones and some ones within a teen number and extend that understanding to count to 100.

Find the rest of the EngageNY Mathematics resources at https://archive.org/details/engageny-mathematics.

Module 1 of the Kindergarten curriculum in A Story of Units.  In Topics A and B, classification activities allow students to analyze and observe their world and articulate their observations.  Reasoning and dialogue begin immediately.  In Topics C, D, E, and F, students order, count, and write up to ten objects to answer “how many?” questions from linear, to array, to circular, and finally to scattered configurations wherein they must devise a path through the objects as they count.  In Topics G and H, students use their understanding of relationships between numbers and know that each successive number name refers to a quantity that is one greater and that the number before is one less.

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 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.

Humans have the capacity to use complex language, far more than any other species on Earth. We cooperate with each other to use language for communication; language is often used to communicate about and even construct and maintain our social world. Language use and human sociality are inseparable parts of Homo sapiens as a biological species.

An OER which highlights the importance of information literacy in this day and age of the fourth information revolution and shares some of the tips and tricks accumulated by a distance learner at the University of the Philippines Open University.

Outline of the Content:

1. Home
2. What is Information Literacy?
3. Information Literacy and Online Learning
4. Finding High-Quality Information Online
5. Wikipedia for Academics
6. Sharing Your Works Online
7. Recommended Resources
8. About the Author

Library Carpentry lesson: An introduction to Git. What We Will Try to Do Begin to understand and use Git/GitHub. You will not be an expert by the end of the class. You will probably not even feel very comfortable using Git. This is okay. We want to make a start but, as with any skill, using Git takes practice. Be Excellent to Each Other If you spot someone in the class who is struggling with something and you think you know how to help, please give them a hand. Try not to do the task for them: instead explain the steps they need to take and what these steps will achieve. Be Patient With The Instructor and Yourself This is a big group, with different levels of knowledge, different computer systems. This isn’t your instructor’s full-time job (though if someone wants to pay them to play with computers all day they’d probably accept). They will do their best to make this session useful. This is your session. If you feel we are going too fast, then please put up a pink sticky. We can decide as a group what to cover.

This open access book addresses four standard business school subjects: microeconomics, macroeconomics, finance and information systems as they relate to trading, liquidity, and market structure. It provides a detailed examination of the impact of trading costs and other impediments of trading that the authors call “frictions”. It also presents an interactive simulation model of equity market trading, TraderEx, that enables students to implement trading decisions in different market scenarios and structures. Addressing these topics shines a bright light on how a real-world financial market operates, and the simulation provides students with an experiential learning opportunity that is informative and fun.

Each of the chapters is designed so that it can be used as a stand-alone module in an existing economics, finance, or information science course. Instructor resources such as discussion questions, Powerpoint slides and TraderEx exercises are available online.

The unit is focused on the examination of geography in terms of “place.” Students dive into inquiry to answer the compelling question, What is unique about living in Washington? Through this question students will understand where and why people live in Washington State. Students will dive into the regions of Washington State and define it through many characteristics. Students will ultimately choose a region to become an expert on and communicate what makes that region unique. Each student’s performance task product will reflect choice and build upon student strengths according to their skill set.

You may hear that Malayalam is pronounced the way it is written. It’s not. This document provides some strategies for pronouncing Malayalam that may be hard for those with no prior exposure to the language. It is not meant to be comprehensive, but rather to focus on common challenges for beginners. Familiarity with the Malayalam script and the basic sounds of each letter is assumed throughout.

For English speakers, the Malayalam sound system contains both familiar and unfamiliar sounds. The Malayalam written script is phonetic, meaning that you say it as you write it (mostly!), and syllabic, meaning that it’s based on an alphabet and the syllables you can make with an alphabet. Therefore, there is a good correspondence between written and spoken Malayalam, though colloquial speech often diverges from standard written forms. This guide summarizes the basic pronunciation of Malayalam letters and presumes that you have spent at least some time learning the basic written letters already. If you grew up speaking Malayalam or hearing it frequently, then this guide may not help your pronunciation much, but it may help you with spelling and a better understanding of the sound system.

What is sandhi? A dictionary definition would say something like “the euphonic combination of sounds to facilitate pronunciation, often also represented in writing.” Sandhi in Sanskrit means “joining” and it refers technically to different ways that words are joined together both when speaking and when writing. Making words easier to pronounce in speech happens everywhere and all the time. Consider the English phrase, “what do you” In some places, it might be said, “whaccha”; in others, “whadya”; and so on. Or, “I am going to” becomes “Imma go ta”; “Let me” becomes “Lemme”; etc. Clearly articulating or distinguishing each word is often inconvenient and the sounds are regularly assimilated in one way or another. When authors try to replicate dialect or speech in English, they often turn to sandhi to capture some of the spoken effect. Sandhi means standardizing these pronunciation changes also in writing.