The freely accessible moodle platform offers a number of insights into past proejct work as well as a documentation of the results that were achieved in the course of the project.

Today, in our final episode of Crash Course AI, we're going to look towards the future. We've spent much of this series explaining how and why we don't have the Artificial General Intelligence (or AGI) that we see in the movies like Bladerunner, Her, or Ex Machina. Siri frequently doesn't understand us, we probably shouldn't sleep in our self-driving cars, and those recommended videos on YouTube and Netflix often aren't what we really want to watch next. So let's talk about what we do know, how we got here, and where we think it's all headed.

GESTIÓN DE TECNOLOGÍAS DE LA INFORMACIÓN

Geography 468 provides the geospatial information system professional an overview of systems analysis and design with emphasis on the concepts behind the process, including: business use case modeling, business object modeling, requirements definition, analysis and preliminary design, and, finally, detailed design. The concepts of the geospatial software and database development process are introduced and the current modeling techniques are addressed within the geospatial systems development paradigm. In a series of related activities, students learn about the methods, tools and the concepts of the systems development process to document a portion of a geospatial system with Unified Modeling Language (UML), the standard graphical notation for modeling application needs.

The Digital Shoreline Analysis System (DSAS) is a software extension for ArcGIS that allows for automated shoreline change calculations along the coast. The user must supply the shoreline data and the software helps the user create measurement locations (transects) and completes the shoreline change calculations at each location. The result is a visual representation of the shoreline change along a coastline. This representation is far more useful for analysis that one overall average. Unusually high rates of erosion/accretion are easily recognized from the resulting map.
The study location is Rodanthe, NC. The data used in this exercise is the sample data provided by the USGS.

Bill Gates is credited with saying he would \hire a lazy person to do a difficult job\" with the justification that \"a lazy person will find an easy way to do it.\" GEOG 485 doesn't teach the lazy way to get the job done, but it does teach the scripting way _ which is arguably even better. You've probably heard the \"give a fish\"/\"teach to fish\" saying? That's the gist of GEOG 485: to equip you, in an ArcGIS context, with the ModelBuilder and Python scripting skills to make your boring, repetitive geoprocessing tasks easier, quicker and automatic _ so you can focus on the more interesting (potentially more valuable) work that you (and your employers) really want you to be doing."

Text set to pair with "The Omnivore's Dilemma" to address an argument prompt on genetically modified foods.

Today GPS is critical to positioning, navigation, and timing. The smooth functioning of financial transactions, air traffic, ATMs, cell phones and modern life in general around the world depend on GPS. This very criticality requires continuous modernization. The oldest satellites in the current constellation were launched in the 1990s. If you imagine using a computer of that vintage today, it is not surprising that the system is being substantially updated. Global Positioning System (GPS) is now a part of a growing international con?text-the Global Navigation Satellite System, GNSS. This course dives into how GPS and other GNSS systems are designed, how they operate, and the impacts they have on spatial analysis and spatially-enabled systems.

This module illusrates navigation to and use of Gale PowerSearch from the Alabama Virtual Library.  All videos are closed-captioned.

This is a teacher guide for operating a GenWe classroom. From the very beginning to the launch of the program, these resources will help teachers and students build the ideal learning environment to improve social competence. What is the GenWe Classroom? It is an elective course for middle and high school students designed to help them learn how to interact and cooperate and use technology responsibly. The class is managed by the students and teachers collaboratively. The structure of the class allows the students to make decisions based on evaluating the input from peers, near-peers, and adults. In order for normal social situations to occur, the students need to be allowed to manage themselves, including their learning. Ideally the GenWe Classroom will include a budget. Students will be responsible for planning the learning materials they will need for the semester.

Workshop overview for the Data Carpentry genomics curriculum. 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. This workshop teaches data management and analysis for genomics research including: best practices for organization of bioinformatics projects and data, use of command-line utilities, use of command-line tools to analyze sequence quality and perform variant calling, and connecting to and using cloud computing. This workshop is designed to be taught over two full days of instruction. Please note that workshop materials for working with Genomics data in R are in “alpha” development. These lessons are available for review and for informal teaching experiences, but are not yet part of The Carpentries’ official lesson offerings. Interested in teaching these materials? We have an onboarding video and accompanying slides available to prepare Instructors to teach these lessons. After watching this video, please contact team@carpentries.org so that we can record your status as an onboarded Instructor. Instructors who have completed onboarding will be given priority status for teaching at centrally-organized Data Carpentry Genomics workshops.

This book is about using the power of computers to do things with geographic data. It teaches a range of spatial skills, including: reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and modeling geographic phenomena. By demonstrating how various geographic operations can be linked, in reproducible ‘code chunks’ that intersperse the prose, the book also teaches a transparent and thus scientific workflow. Learning how to use the wealth of geospatial tools available from the R command line can be exciting, but creating new ones can be truly liberating. Using the command-line driven approach taught throughout, and programming techniques covered in Chapter 11, can help remove constraints on your creativity imposed by software. After reading the book and completing the exercises, you should therefore feel empowered with a strong understanding of the possibilities opened up by R’s impressive geographic capabilities, new skills to solve real-world problems with geographic data, and the ability to communicate your work with maps and reproducible code.

A good detective or researcher like Sherlock Holmes knows the fundamental questions that need to be answered to gather facts to solve a problem. So how does geospatial intelligence contribute to answering these questions? While geospatial technology is useful in revealing who, what, when, and where events take place, it is less useful in explaining why events occur. However, geospatial intelligence analysis leverages geographic information science and technology with the intelligence tradecraft to develop products that support decision-making in national and homeland security, law enforcement, emergency management, and international relief efforts. GEOG 882 will challenge you to think critically, consider alternative viewpoints, and question your own assumptions when analyzing why human events occur over place and time.

In this data rich world, we need to understand how things are organized on the Earth's surface. Those things are represented by spatial data and necessarily depend upon what surrounds them. Spatial statistics provide insights into explaining processes that create patterns in spatial data. In geographical information analysis, spatial statistics such as point pattern analysis, spatial autocorrelation, and spatial interpolation will analyze the spatial patterns, spatial processes, and spatial association that characterize spatial data. Understanding spatial analysis will help you realize what makes spatial data special and why spatial analysis reveals a truth about spatial data.

The objective of this assignment is to explore the application of GIS in the planning and implementation of renewable energy projects. Students, divided in a group of 3-4, will analyze the geographical suitability, environmental impact, and socio-economic factors involved in the deployment of renewable energy technologies using GIS tools and techniques.

This lab serves to introduce students to geologic time and serves as an outline for the course through the semester.

Students use a tape register and must mark out the corresponding length of each Geologic Era and Eon towards the beginning of the course. Above Western time line Navajo students construct their own time line correlating events as best as possible. As the course progresses starting from 4.6bya each week they must draw major events that occur marking correct subdivisions of time and ages ago. As fossil life gets more complex such as beginning in the Paleozoic students are must take different categories of fossils or different periods so all are doing different things but working together. (Similarly the Navajo time line builds. This time line is taped around the room---and I would have liked to paint the two time lines along the corridor of the building but Maintenance axed it.

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Geographic Intelligence (GEOINT) is more than people working with computers in a secure intelligence facility. Join us for this exciting journey to learn about GEOINT's application in business, law enforcement, and defense. Advances in satellites, GPS, unmanned aerial systems, wireless communications, handheld computing, and the ability to automate laborious map analysis processes has transformed what used to be called geographic intelligence, or GEOINT, and the nature of the insights provided to managers and leaders. We have gone from mountains of hardcopy maps to amazing automated systems that provide previously unavailable understanding. GEOINT combines geographic information science and technologies with an analytic tradecraft. You will experience the value of GEOINT. We welcome you to the Revolution.

Geospatial System Analysis and Design surveys the process of GIS design through critical reading/writing and collaborative discussion. Key topics in the course outline the broad range of current GIS systems, how they are designed and evaluated, and how emerging technologies may impact their design and implementation in the near future. In particular, students will develop a term-long project where they propose a realistic problem scenario that requires the skills and understanding required to effectively complete a geospatial system specification, design, and implementation. Students completing this course are able to develop a comprehensive system design plan that takes into account current technologies as well as emerging technology trends.

In this exercise students watch a video and then participate in a think-pair-share activity. The activity is designed to stimulate reflection and discussion on the nature of geospatial data. The activity emphasizes the ways in which the digital revolution has transformed the way we think and gather information about spatially located features, and how we navigate to those features.