As if they are environmental engineers, student pairs are challenged to use …
As if they are environmental engineers, student pairs are challenged to use Google Earth Pro (free) GIS software to view and examine past data on hurricanes and tornados in order to (hypothetically) advise their state government on how to proceed with its next-year budget—to answer the question: should we reduce funding for natural disaster relief? To do this, students learn about maps, geographic information systems (GIS) and the global positioning system (GPS), and how they are used to deepen the way maps are used to examine and analyze data. Then they put their knowledge to work by using the GIS software to explore historical severe storm (tornado, hurricane) data in depth. Student pairs confer with other teams, conduct Internet research on specific storms and conclude by presenting their recommendations to the class. Students gain practice and perspective on making evidence-based decisions. A slide presentation as well as a student worksheet with instructions and questions are provided.
Students analyze international oil consumption and production data. They make several graphs …
Students analyze international oil consumption and production data. They make several graphs to organize the data and draw conclusions about the overall use of oil in the world.
This section will provide an introduction to cloud computing, its benefits, and …
This section will provide an introduction to cloud computing, its benefits, and the different types of cloud services (IaaS, PaaS, and SaaS). We will also discuss the different deployment models (public, private, hybrid) and the key players in the cloud computing market.
Students explore the definition of a function by playing an interactive game …
Students explore the definition of a function by playing an interactive game called "Club Function." The goal of the game is to be in the club! With students each assigned to be either a zebra or a rhinoceros, they group themselves according to the "rules" of the club function. After two minutes, students freeze in their groups, and if they are not correctly following the rules of the club function, then they are not allowed into the "club." Through this activity students come to understand that one x-coordinate can only have one corresponding y-coordinate while y-coordinates can have many x-coordinates that correspond to it.
Do you sometimes feel that you do not belong in this program, …
Do you sometimes feel that you do not belong in this program, or some of its courses? The instructors assure you that you do belong! To help combat that sense of imposter syndrome that you might be feeling, let's explore the notion that your cognitive styles of learning are similar to your peers' learning styles.
You may already know that OSU and other universities have studied course materials and technical tools to make improvements that level the playing field amongst you and your peers. Programs such as Cognitive Style Heuristics and GenderMag/InclusiveMag study differences in how people problem-solve while learning new technical skills. The projects' core methods of finding bias bugs in software and materials is to apply personas that represent different sets of cognitive facets.
Explore the Facets and Personas by clicking on the tabs at the top, then analyze which persona fits you best, by taking the Survey.
Your selection data will disappear after refreshing the page, or closing the browser. It will not be saved and collected.
This is a class about applying autonomy to real-world systems. The overarching …
This is a class about applying autonomy to real-world systems. The overarching theme uniting the many different topics in this course will center around programming a cognitive robotic. This class takes the approach of introducing new reasoning techniques and ideas incrementally. We start with the current paradigm of programming you’re likely familiar with, and evolve it over the semester—continually adding in new features and reasoning capabilities—ending with a robust, intelligent system. These techniques and topics will include algorithms for allowing a robot to: Monitor itself for potential problems (both observable and hidden), scheduling tasks in time, coming up with novel plans to achieve desired goals over time, dealing with the continuous world, collaborating with other (autonomous) agents, dealing with risk, and more.
What cognitive styles do we use to interact with technology? The GenderMag …
What cognitive styles do we use to interact with technology? The GenderMag Project has identified five cognitive facets we bring to our use of technology.
This course provides an introductory survey of data science tools in healthcare. It …
This course provides an introductory survey of data science tools in healthcare. It was created by members of MIT Critical Data, a global consortium consisting of healthcare practitioners, computer scientists, and engineers from academia, industry, and government, that seeks to place data and research at the front and center of healthcare operations. The most daunting global health issues right now are the result of interconnected crises. In this course, we highlight the importance of a multidisciplinary approach to health data science. It is intended for front-line clinicians and public health practitioners, as well as computer scientists, engineers, and social scientists, whose goal is to understand health and disease better using digital data captured in the process of care. What you’ll learn:
Principles of data science as applied to health Analysis of electronic health records Artificial intelligence and machine learning in healthcare
This course is part of the Open Learning Library, which is free to use. You have the option to sign up and enroll in the course if you want to track your progress, or you can view and use all the materials without enrolling.
This is a 9-day hands-on workshop about collaboration, design, and electronics prototyping. …
This is a 9-day hands-on workshop about collaboration, design, and electronics prototyping. No previous experience with computer programming or electronics is required. Beginning students will be taught everything they need to know and advanced students will be challenged to learn new skills. Participants will learn about microcontroller programming using Arduino, collaborative software development using GitHub, solderless electronics prototyping, electronic sensors, rapid prototyping, and small team management. This course is offered 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.
This video from NASA describes the detailed computer modeling used to predict …
This video from NASA describes the detailed computer modeling used to predict that colliding neutron stars can produce gamma-ray bursts similar to those associated with black holes.
As a continuation of the theme of potential and kinetic energy, this …
As a continuation of the theme of potential and kinetic energy, this lesson introduces the concepts of momentum, elastic and inelastic collisions. Many sports and games, such as baseball and ping-pong, illustrate the ideas of momentum and collisions. Students explore these concepts by bouncing assorted balls on different surfaces and calculating the momentum for each ball.
This is a laboratory exercise designed to allow students to further investigate …
This is a laboratory exercise designed to allow students to further investigate the light spectrum. This lab is used to have students view the light spectrum first hand as opposed to using lecture alone.
In this video segment, members of the ZOOM cast experiment by bending …
In this video segment, members of the ZOOM cast experiment by bending and folding sheets of paper into various shapes to see which shape will support the weight of a heavy book.
Combinatorial Optimization provides a thorough treatment of linear programming and combinatorial optimization. …
Combinatorial Optimization provides a thorough treatment of linear programming and combinatorial optimization. Topics include network flow, matching theory, matroid optimization, and approximation algorithms for NP-hard problems.
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