Columbia Online

The mission of Columbia College Chicago Online is to deliver new engaging curriculum to lifelong learners anywhere in the world. We are committed to providing high-quality educational experiences to develop the necessary skills to launch or grow a sustainable career in today’s demanding marketplace.
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All resources in Columbia Online

augumented realities Published

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Augmented reality is the integration of digital information with the user's environment in real time. Unlike virtual reality, which creates a totally artificial environment, augmented reality uses the existing environment and overlays new information on top of it.augumented reality videoaugumented realities 

Material Type: Module

Author: reema nikalje

Investigations Across the Curriculum: Reality and the Americas

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This section examines how reality and fantasy are understood and constructed by, across, and in the Americas. Materials drawn from across the curriculum (e.g., from history, psychology, media, and communication studies) are used to question definitions of reality, fact, truth, fiction, fantasy, magical realism, myth, virtual space, reality-TV, and corporeality. Students gain the ability to defend their positions about how categories such as reality and fantasy differ and overlap.

Material Type: Full Course

Author: Meesh McCarthy

STEAM and Design Thinking Resource

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NEXT.cc is an eco web that develops ethical imagination and environmental stewardship. NEXT.cc introduces what design is, what design does, and why design is important. It offers activities across nine scales – nano, pattern, object, space, architecture, neighborhood, urban, region, and world. NEXT.cc's journeys introduce activities online, in the classroom, in the community and globally. NEXT.cc journeys and activities are supported with links to museums, institutions and contemporary practices. The eco web network of journeys provides a solid foundation for newly established NAAEE North American Association of Environmental Education standards with place based design activities that address the five goals of environmental education: Awareness, Knowledge, Attitudes and Environmental Ethic, Citizen Action Skills, and Citizen Action Experiences. NEXT.cc is based on Wisconsin Art and Design Standards and Common Core State Standards. NEXT.cc plans to reach young people, their teachers and their families with meaningful learning experiences that create positive influence on lives and outcomes.

Material Type: Activity/Lab, Assessment, Game, Interactive, Lesson Plan, Unit of Study

Author: Lindsey Shepard

Data in the Classroom - Ocean Acidification

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Investigate ocean acidification through five activities at different levels to learn about ocean acidification using real data. Curriculum Guide available on website.The NOAA Ocean Data Education (NODE) Project is developing curriculum for grades 6-8 designed to help teachers and students use real scientific data to explore dynamic Earth processes and understand the impact of environmental events on a regional or global scale.

Material Type: Activity/Lab, Interactive, Lesson Plan, Teaching/Learning Strategy

Authors: the NOAA Ocean Data Education (NODE) Project by Caroline Joyce, Todd Viola and Andrew Amster in collaboration with the NOAA Coral Reef Conservation Program and the National Oceanographic Data Center.

Data Carpentry: R for data analysis and visualization of Ecological Data

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This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day. They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, and finish with how to calculate summary statistics for each level and a very brief introduction to plotting.

Material Type: Lesson

Authors: Auriel Fournier, François Michonneau

The Beauty of Data Visualization

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David McCandless turns complex data sets (like worldwide military spending, media buzz, Facebook status updates) into beautiful, simple diagrams that tease out unseen patterns and connections. Good design, he suggests, is the best way to navigate information glut -- and it may just change the way we see the world. A quiz, thought provoking question, and links for further study are provided to create a lesson around the 18-minute video. Educators may use the platform to easily "Flip" or create their own lesson for use with their students of any age or level.

Material Type: Lecture

Author: David McCandless

Data Analysis: Visualization and Dashboard Design

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Struggling with data at work? Wasting valuable time working in multiple spreadsheets to gain an overview of your business? Find it hard to gain sharp insights from piles of data on your desktop? If you are looking to enhance your efficiency in the office and improve your performance by making sense of data faster and smarter, then this advanced data analysis course is for you. If you have already sharpened your spreadsheet skills in Data Analysis: Take It to the MAX(), this course will help you dig deeper. You will learn advanced techniques for robust data analysis in a business environment. This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. We encourage you to use your own data in this course but if not available, the course team can provide. These course materials are part of an online course of TU Delft. Do you want to experience an active exchange of information between academic staff and students? Then join the community of online learners and enroll in this MOOC. This course is part of the Data Analysis XSeries.

Material Type: Full Course

Author: Dr. Felienne Hermans

How to Process, Analyze and Visualize Data, January IAP 2012

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This course is an introduction to data cleaning, analysis and visualization. We will teach the basics of data analysis through concrete examples. You will learn how to take raw data, extract meaningful information, use statistical tools, and make visualizations. This was offered as a non-credit course during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month.

Material Type: Full Course

Authors: Adam Marcus, Eugene Wu

Statistics and Visualization for Data Analysis and Inference, January IAP 2009

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A whirl-wind tour of the statistics used in behavioral science research, covering topics including: data visualization, building your own null-hypothesis distribution through permutation, useful parametric distributions, the generalized linear model, and model-based analyses more generally. Familiarity with MATLABA, Octave, or R will be useful, prior experience with statistics will be helpful but is not essential. This course is intended to be a ground-up sketch of a coherent, alternative perspective to the "null-hypothesis significance testing" method for behavioral research (but don't worry if you don't know what this means).

Material Type: Full Course

Authors: Frank, Mike, Vul, Ed

Statistics: Visualizing Data

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TED Studies, created in collaboration with Wiley, are curated video collections — supplemented by rich educational materials — for students, educators and self-guided learners. In Visualizing Data, TED speakers shake up statistics with elegant, dynamic representations that make mountains of data comprehensible — and even exciting. Learn how to visualize data and present complicated statistics in elegant and captivating ways. Relevant areas of interest, study and coursework include: information design, demography, statistical literacy, economics, sociology, media studies, linguistics, meteorology and computer science.

Material Type: Lecture, Reading, Teaching/Learning Strategy

Authors: Dennis Lock, Eric Lock, Kari Lock Morgan, Patti Frazier Lock, Robin Lock