Control Systems is an inter-disciplinary engineering text that analyzes the effects and interactions of mathematical systems. This book is for third and fourth year undergraduates in an engineering program.
Short Description:
Hostile use of Unmanned Aircraft Systems (UAS) technology is on the forefront of DoD defense and offensive planners.Our Counter-UAS (C-UAS) textbook has as its primary mission to educate and train resources who will enter the UAS / C-UAS field and trust it will act as a call to arms for military and DHS planners.
Long Description:
As the quarter-century mark in the 21st Century nears, new aviation-related equipment has come to the forefront, both to help us and to haunt us. (Coutu, 2020) This is particularly the case with unmanned aerial vehicles (UAVs). These vehicles have grown in popularity and accessible to everyone. Of different shapes and sizes, they are widely available for purchase at relatively low prices. They have moved from the backyard recreation status to important tools for the military, intelligence agencies, and corporate organizations. New practical applications such as military equipment and weaponry are announced on a regular basis – globally. (Coutu, 2020) Every country seems to be announcing steps forward in this bludgeoning field.
In our successful 2nd edition of Unmanned Aircraft Systems in the Cyber Domain: Protecting USA’s Advanced Air Assets (Nichols, et al., 2019), the authors addressed three factors influencing UAS phenomena. First, unmanned aircraft technology has seen an economic explosion in production, sales, testing, specialized designs, and friendly / hostile usages of deployed UAS / UAVs / Drones. There is a huge global growing market and entrepreneurs know it. Second, hostile use of UAS is on the forefront of DoD defense and offensive planners. They are especially concerned with SWARM behavior. Movies like “Angel has Fallen,” where drones in a SWARM use facial recognition technology to kill USSS agents protecting POTUS, have built the lore of UAS and brought the problem forefront to DHS. Third, UAS technology was exploding. UAS and Counter- UAS developments in navigation, weapons, surveillance, data transfer, fuel cells, stealth, weight distribution, tactics, GPS / GNSS elements, SCADA protections, privacy invasions, terrorist uses, specialized software, and security protocols has exploded. (Nichols, et al., 2019) Our team has followed / tracked joint ventures between military and corporate entities and specialized labs to build UAS countermeasures.
As authors, we felt compelled to address at least the edge of some of the new C-UAS developments. It was clear that we would be lucky if we could cover a few of – the more interesting and priority technology updates – all in the UNCLASSIFIED and OPEN sphere.
Counter Unmanned Aircraft Systems: Technologies and Operations is the companion textbook to our 2nd edition. The civilian market is interesting and entrepreneurial, but the military and intelligence markets are of concern because the US does NOT lead the pack in C-UAS technologies. China does. China continues to execute its UAS proliferation along the New Silk Road Sea / Land routes (NSRL). It has maintained a 7% growth in military spending each year to support its buildup. (Nichols, et al., 2019) [Chapter 21]. They continue to innovate and have recently improved a solution for UAS flight endurance issues with the development of advanced hydrogen fuel cell. (Nichols, et al., 2019) Reed and Trubetskoy presented a terrifying map of countries in the Middle East with armed drones and their manufacturing origin. Guess who? China. (A.B. Tabriski & Justin, 2018, December)
Our C-UAS textbook has as its primary mission to educate and train resources who will enter the UAS / C-UAS field and trust it will act as a call to arms for military and DHS planners.
Word Count: 106442
ISBN: 978-1-944548-27-8
(Note: This resource's metadata has been created automatically by reformatting and/or combining the information that the author initially provided as part of a bulk import process.)
Identification and discovery of OER is a significant barrier for faculty adoption. Mapping OER to courses is a strategy library professionals can adopt to ease the burden on faculty. The Course Mapping Companion Kit provides curation workflow steps that can be adapted to institutional needs. The companion kit also provides instructions on preparing curated OER with course alignment tags for inclusion on VIVA Open, an OER Commons hosted website. By tagging curated, course-aligned OER to VIVA Open, faculty may trace and locate OER suitable for their courses, as well as courses at other Virginia institutions of higher education.
This peer reviewed e-book is a must-read for nurses and other health professionals who strive to teach with creativity and excellence in clinical settings. Each chapter presents current evidence informed educational practice knowledge. Each topic is also presented with text boxes describing ‘Creative Strategies’ that clinical teachers from across Canada have successfully implemented. For those who are interested in background knowledge, the authors provided a comprehensive literature base. And, for those interested mainly in 'what to do,' the text box summaries offer step-by-step directions for creative, challenging activities that both new and experienced instructors can begin using immediately.
Creative Commons for Educators, Academic Librarians, and GLAM by Creative Commons is organized into the following 5 units:
Unit 1: What Is Creative Commons
Unit 2: Copyright Law
Unit 3: Anatomy of a CC License
Unit 3: Anatomy of a CC license
Unit 4: Using CC Licenses and CC-Licensed Works
Unit 5: CC for Educators
5. CC for Educators
Unit 5: CC for Academic Librarians
Additional Resources
Unit 5: CC for GLAM
Additional Certificate Resources (Template syllabus, Word documents, Epub files) are available here: https://certificates.creativecommons.org/about/certificate-resources-cc-by/.
Precise modification of faulty genes for repair has been one of the most important goals in medicine. It is now finally within the realm of possibility thanks to the gene editing tool CRISPR. This microbial adaptive immune system can copy and cut specific DNA sequences. This animation provides a visual introduction of this revolutionary genetic tool.
This publication of the second edition of Critical Care Nursing of Infants and Children is another important milestone in the evolving development of pediatric critical care nursing. It often surprises students and colleagues when I discuss my experiences in the days "before pediatric intensive care units." They cannot conceive of a time when these specialized units, along with their highly technologic treatments, were not available to facilitate the care of critically ill children. During this "before" period, seriously ill children were cared for on regular hospital units with minimal technology. Staff nurses were often assigned to "special" the child, unless the family provided a private duty nurse. Sometimes a separate room was set aside for care of several seriously ill children so that one nurse could care for several children. The level of expertise of these staff and private duty nurses, however, was not adequate for the intensive care needs of critically ill children. Obviously children with serious health problems or children recovering from major surgery were at high risk of dying because adequate treatments and monitoring measures were not available.
This archive contains a series of lessons on cryptography suitable for use in a CS0 course. The only requirement is familiarity with Python, particularly dictionaries, lists, and file IO. It is also assumed that students know how to create stand-alone Python programs and interact with them through the terminal. Most of the work is done in Jupyter notebooks.
The material found in the notebooks is a combination of reading material, exercises, activities and assignments. Below are descriptions of each lesson or assignment and links to notebooks on Cocalc. The same files are available for batch download in this archive.
Welcome to Volume Two of the Crystal Ball series: Foundations for Data Science! I titled the first volume “Introduction to Data Science” because it led you through a dip-your-toes-in-the-water experience. You took a brief tour through the various elements in this diverse field and got a feel for what it was all about. Since you’re still reading, this means you’re still interested, and ready to explore the next level. In Foundations, we’ll solidify your growing knowledge so that you have a firm base on which to build everything else. Future volumes in this series will cover applications, advanced techniques, and some special data types that require special treatment. But it all ultimately rests on the skill set you’ll have built in Volumes One and Two of this series.
A perfect introduction to the exploding field of Data Science for the curious, first-time student. The author brings his trademark conversational tone to the important pillars of the discipline: exploratory data analysis, choices for structuring data, causality, machine learning principles, and introductory Python programming using open-source Jupyter Notebooks. This engaging read will allow any dedicated learner to build the skills necessary to contribute to the Data Science revolution, regardless of background.
This is a collection of resources to help inform more culturally-informed practices in nursing.
This lecture presents information about cybercrime, which has become the most ubiquitous crime world-wide and affects individuals, companies and government. The lecture indicates that 95% of all cybercrime is preventable and describes a myriad of cyber security techniques that are available to prevent hacking. Legislation to combat cybercrime is presented as well as the places where cybercrime should be reported.
The lecture presents information about how the Internet works so students studying cyber security can better understand how cybercriminals commit their crimes. The lecture provides elemental concepts so students of all disciplines, from computer engineering to criminal justice and law can obtain a basic foundation.
This book covers Direct Current (DC) circuit theory and is broken up into three modules. Module 1 covers the basics for circuits that include DC sources (voltage or current) and resistors. Even though Module 1 is not very difficult, it forms the foundation for more complicated topics in modules 2 and 3 so it is important to have a firm grasp of all Module 1 topics before moving on. Module 2 covers more difficult problem solving techniques for circuits that include only DC sources and resistors. Module 3 introduces capacitors and inductors. These non-linear reactive components are analyzed in the transient and steady state regions in circuits with DC sources in Module 3. Also annexed is a two-page cheat sheet that ENGR 2431 students at University of Oklahoma can use for exams.
Welcome to DC Electrical Circuit Analysis, an open educational resource (OER). The goal of this text is to introduce the theory and practical application of analysis of DC electrical circuits. It is offered free of charge under a Creative Commons non-commercial, share-alike with attribution license. For your convenience, along with the free pdf and odt files, print copies are available at a very modest charge. Check my web sites for links.
Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought.
Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.”
Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
How can we effectively and efficiently teach data science to students with little to no background in computing and statistical thinking? How can we equip them with the skills and tools for reasoning with various types of data and leave them wanting to learn more? This introductory data science course is our (working) answer to this question.
The source code for everything you see here can be found on GitHub.
The core content of the course focuses on data acquisition and wrangling, exploratory data analysis, data visualization, inference, modelling, and effective communication of results. Time permitting, the course also introduces additional concepts and tools like interactive visualization and reporting, text analysis, and Bayesian inference. A heavy emphasis is placed on a consistent syntax (with tools from the tidyverse), reproducibility (with R Markdown), and version control and collaboration (with Git and GitHub). In addition, out-of-class learning is supplemented with interactive tutorials. The goal of the course is to bring students from zero to being able to work in a team on a fully reproducible data science project analysing a dataset of their choice and answering questions they care about.
Data Science in a Box contains the materials required to teach (or learn from) the course described above, all of which are freely-available and open-source. They include course materials such as slide decks, lecture and live coding videos, homework assignments, guided labs, sample exams, a final project assignment, as well as materials for instructors such as pedagogical tips, information on computing infrastructure, technology stack, and course logistics.
Majority of the materials linked live in the GitHub repo serving this website.
Please note that Data Science in a Box uses a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
This workbook is a brief introduction to data wrangling. In this book, we introduce core concepts in data wrangling, use the R language, the R Studio interface, and the tidyverse set of packages that are dedicated to getting us to tidy data.
This resource will be updated as needed. For the most recent version, visit: https://cod.pressbooks.pub/datawranglingwithr/
Database Design - 2nd Edition covers database systems and database design concepts. New to this edition are SQL info, additional examples, key terms and review exercises at the end of each chapter.
This second edition of Database Design book covers the concepts used in database systems and the database design process.