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Visual Literacy: An E-Learning Tutorial on Visualization for Communication, Engineering and Business

Visual Literacy: An E-Learning Tutorial on Visualization for Communication, Engineering and Business

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Interactive The World of Seven Billion The map shows population density; the brightest points are the highest densities. Each country is colored according to its average annual gross national income per capita, using categories established by the World Bank (see key below). Some nations— like economic powerhouses China and India—have an especially wide range of incomes. But as the two most populous countries, both are lower middle class when income is averaged per capita. About to teach Statistical Graphics and Visualization course at CMU I’m pretty excited for tomorrow: I’ll begin teaching the Fall 2015 offering of 36-721, Statistical Graphics and Visualization. This is a half-semester course designed primarily for students in our MSP program (Masters in Statistical Practice). A large part of the focus will be on useful principles and frameworks: human visual perception, the Grammar of Graphics, graphic design and interaction design, and more current dataviz research. As for tools, besides base R and ggplot2, I’ll introduce a bit of Tableau, D3.js, and Inkscape/Illustrator. For assessments, I’m trying a variant of “specs grading”, with a heavy use of rubrics, hoping to make my expectations clear and my TA’s grading easier. Classifier diagnostics from Cook & Swayne’s book

Einstein’s Secret to Amazing Problem Solving (and 10 Specific Ways You Can Use It) Einstein is quoted as having said that if he had one hour to save the world he would spend fifty-five minutes defining the problem and only five minutes finding the solution. This quote does illustrate an important point: before jumping right into solving a problem, we should step back and invest time and effort to improve our understanding of it. Here are 10 strategies you can use to see problems from many different perspectives and master what is the most important step in problem solving: clearly defining the problem in the first place! The Problem Is To Know What the Problem Is The definition of the problem will be the focal point of all your problem-solving efforts.

House of Genius What’s House of Genius all about? The goal of House of Genius is to assemble brilliant, diverse groups of people to focus their collective creativity and experience to explore, discuss and solve important problems. We hold evening sessions once a month in cities around the world. Statistical Graphics and Visualization course materials I’ve just finished teaching the Fall 2015 session of 36-721, Statistical Graphics and Visualization. Again, it is a half-semester course designed primarily for students in the MSP program (Masters of Statistical Practice) in the CMU statistics department. I’m pleased that we also had a large number of students from other departments taking this as an elective. For software we used mostly R (base graphics, ggplot2, and Shiny). » Get People’s Attention with the Power of Your Ideas. Use TheBrain for Outstanding Presentations We had a great webinar today with a ton of questions. Thanks to all attendees for their participation. We focused on how you can use TheBrain as a presentation and persuasion tool for more effective communication before, during and after your meetings. If you missed the webinar, feel free to watch the on-line recording. Template Brains from Webinar

10 Weather Phenomena That's Difficult to Believe Exist If you’re a skeptic, prepare to have your socks knocked off. The insane photographs you see below aren’t photoshop or the creation of a science fiction artist. They are actually very real and very natural occurrences in nature. But that doesn’t stop them from being hellishly scary. 1. Supercells: Supercells are gigantic, spinning storms that have the tendency to be extremely destructive and create tornadoes.

Social Psychology of the Generational Community Classroom at Hawaii by Leon James University of Hawaii Original: 1979; Updated: 1985; 1994; 2000; 2012 Studying Social Psychology Social Psychology is a scientific field related to sociology, anthropology, and general psychology. Its field of study includes: (I) How social settings affect people's behavior (II) How social organization of community life creates a socio-cultural environment which directly and decisively affects people's health, thoughts, emotions, and feelings

Tapestry 2016 materials: LOs and Rubrics for teaching Statistical Graphics and Visualization Here are the poster and handout I’ll be presenting tomorrow at the 2016 Tapestry Conference. My poster covers the Learning Objectives that I used to design my dataviz course last fall, along with the grading approach and rubric categories that I used for assessment. The Learning Objectives were a bit unusual for a Statistics department course, emphasizing some topics we teach too rarely (like graphic design). The “specs grading” approach seemed to be a success, both for student motivation and for the quality of their final projects.

Know More Know more. Map your mind. Get the power of information visualization. Creating An Online Learning Environment That Fosters Information Literacy, Autonomous Learning and Leadership: The Hawaii Online Generational Community-Classroom The Hawaii Online Generational Community-Classroom Dr. Leon James Professor of Psychology College of Social Sciences University of Hawaii (Manoa) 1997 Note: This is my online conference paper presented at the Second Annual Conference on Teaching in the Community College (Electronic) Journal (TCC-J), Trends and Issues in Online Instruction, Spring 1997 issue published here but that version does not contain all the Tables and Appendices that are available here.

Learn Data Analysis - Free Curriculum Introduction The Data Analysis learning path provides a short but intensive introduction to the field of data analysis. The path is divided into three parts. In part 1, we learn general programming practices (software design, version control) and tools (python, sql, unix, and Git). In part 2, we learn R and focus more narrowly on data analysis, studying statistical techniques, machine learning, and presentation of findings. Part 3 includes a choice of elective topics: visualization, social network analysis, and big data (Hadoop and MapReduce).

Related:  Visual Literacy and eLearning