Introduce students to the creative design process, based on the scientific method and peer review, by application of fundamental principles and learning to complete projects according to schedule and within budget. Subject relies on active learning through a major team-based design-and-build project focused on the need for a new consumer product identified by each team. Topics to be learned while teams create, design, build, and test their product ideas include formulating strategies, concepts and modules, and estimation, concept selection, machine elements, design for manufacturing, visual thinking, communication, teamwork, and professional responsibilities.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"3D-printed with microscale precision, these tiny architectural marvels could be the key to making high-temperature ceramics less vulnerable to fracture. The implications could span across the numerous areas these materials are used, from aerospace to tissue engineering. The blueprint for these hardy structures is reported in the Journal of Materials Research Volume 33, Issue No. 3, earning honors as the 2018 JMR Paper of the Year. Researchers built the miniature trusses layer by layer using a technique called projection microstereolithography. In this process, a UV-light pattern is scanned across a polymer bath composed of photo-active ceramic building blocks. The silicon-based polymer solidifies at every point traced by the UV beam. Subsequent heating in a high-temperature furnace activates the polymer structures, baking off volatile organics, to produce silicon oxycarbide structures. The team then put these structures to the test..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"When modern 3D printing was invented in the early 1980s, few could have predicted the influence it has today. At no other time in history has it been this easy to transform a sketch into the real thing. And while that feat has proven immensely useful for constructing complex machines, it is unlikely more meaningful anywhere else today than in the field of biomedicine. With the ability to churn out standard or custom prosthetics, devices, and even test models, the 3D printing of biomaterials is revolutionizing medical care. One of the greatest conveniences afforded by biomedical 3D printing is the ability to manufacture parts on demand. Common load-bearing prosthetics, such as those for knee or hip replacements, no longer have to be built in bulk and benched before use. Virtually stored print files can be called upon and processed into parts as soon as they are needed in the clinic, with the printing material and method suited to the part’s function and placement..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This eBook was written as the sequel to the eBook titled DC Circuits, which was written in 2016 by Chad Davis.
This eBook covers Alternating Current (AC) circuit theory as well us a brief introduction of electronics. It is
broken up into seven modules. Module 1 covers the basic theory of AC signals. Since only DC sources are used in
the first eBook, details of AC signals such as sinusoidal waveforms (or sine waves), square waves, and triangle
waves are provided. Module 2, titled AC Circuits Math Background, covers the mathematics background needed
for solving AC circuit problems. The background material in Modules 1 and 2 are combined in Module 3 to solve
circuits with AC sources that include resistors, inductors, and capacitors (RLC circuits).

In this professional development session, we will develop a shared understanding of how formative assessment works and different approaches that have been developed. The material for this resource come from a series of PD sessions on formative assessment developed by the ACESSE team: Philip Bell, Shelley Stromholt, Bill Penuel, Katie Van Horne, Tiffany Neill, and Sam Shaw.We will be updating this Facilitator's Guide for ACESSE Resource A with the most up-to-date information about this resource over time. If you encounter problems with this resource, you can contact us at: STEMteachingtools@uw.edu

Abstract: This session provides a step-by-step process to support participants as they design a 3D assessment task for the science classroom. Along the way, they learn how to define 3D learning performances for specific lessons—and how to use a range of tools to support their assessment design work. A key goal of the session activity is to improve the connection of intended learning goals to assessment practices. Participants build their 3D assessment design capacity by designing and workshopping tasks—before piloting them in their classrooms. The approaches learned in this workshop can be used with any curricula, at any grade level, and across all subjects of science. 

Overview: In this workshop, we will build our capacity to identify the range of intellectual resources students use as they make sense of phenomena. We will first explore how equity and justice relate to culture-based approaches to pedagogy—and then focus on how to identify and leverage the resources students use in moments of sensemaking. This resource can also be used by individuals wanting to learn how equity involves promoting the rightful presence of all students across scales of justice, desettling inequities, and supporting expansive learning pathways. This workshop provides participants with an opportunity to explore important theoretical ideas by exploring examples of how learners engage in diverse sense-making. Participants will learn about some of the challenges that less expansive learning environments can cause for learners from non-dominant communities. This resource is estimated to take between 161-268 minutes (2 ⅔ - 4 ¾ hours), depending on the choices of the facilitator in scenario selection.

An essential and practical text for both students and teachers of AC electrical circuit analysis, this text picks up where the companion DC electric circuit analysis text leaves off. Beginning with basic sinusoidal functions, ten chapters cover topics including series, parallel, and series-parallel RLC circuits. Numerous theorems and analysis techniques are examined including superposition, Thévenin's theorem, nodal and mesh analysis, maximum power transfer and more. Other important topics include AC power, resonance, Bode plots and an introduction to three-phase systems. Each chapter begins with a set of chapter objectives and includes a summary and review questions. A total of over 500 end-of-chapter exercises are included. A companion laboratory manual is available.

Machine vision. Data wrangling. Reinforcement learning. What do these terms even mean? In AI 101, MIT researcher Brandon Leshchinskiy offers an introduction to artificial intelligence that's designed specifically for those with little to no background in the subject. The workshop starts with a summary of key concepts in AI, followed by an interactive exercise where participants train their own algorithm. Finally, it closes with a summary of key takeaways and Q/A. All are welcome!

Learn about the implementation and practical aspects of Artificial Intelligence and how to write a plan for applying AI in your own organization in a step-by-step manner.

This course is not about difficult algorithms and complex programming; it is a course for anyone interested in learning how to integrate AI into their own organization.

To understand how current Artificial Intelligence applications can be successfully integrated in organizations, we look at different examples. For instance, how ING uses reinforcement learning for personalized dialog management with its customers or how Radboud UMC uses diagnostic image analysis to discover early stages of infectious diseases.

As part of our two-course program ‘AI in Practice’, this course will guide you in the practical aspects of applying AI in your own organization. You will examine typical applications of AI in use already and learn from their experience. These include challenges of implementation, lifecycle aspects, as well as the maintenance and management of AI applications.

The course presents a variety of case studies from actual situations in public organizations and private enterprises in the healthcare, financial, retail and telecommunications sectors. These include Radboud UMC, the Municipality of Amsterdam, ING, Ahold Delhaize and KPN.

‘AI in Practice – Applying AI’ gives you the ammunition to understand the practical aspects required for the implementation of a variety of AI applications in your organization.

This course, AI in Practice: Preparing for AI, is the 1st course of the online education program AI in Practice. The course gives you a kaleidoscope of examples of applications of AI in various organizations, outlines the state of the art in modern AI research, and provides practical tools for integrating AI into your own organization. The program AI in Practice is built from two initial courses, AI in Practice: Preparing for AI and AI in Practice: Applying AI.

The AI in Practice: Preparing for AI course is designed for people who want to apply AI in their own practical situation.

For the experienced manager who wants to know what AI can do for her own organization.
For the data analyst or business consultant who wants to understand how AI can be applied in the business processes of the company for which they work.
For the student who wants to understand how the results of AI research can be translated into practical applications.

Learn the fundamentals of machine learning to help you correctly apply various classification and regression machine learning algorithms to real-life problems.

A one-stop shop to get started on the key considerations about data for AI! Learn how crowdsourcing offers a viable means to leverage human intelligence at scale for data creation, enrichment and interpretation, demonstrating a great potential to improve both the performance of AI systems and their trustworthiness and increase the adoption of AI in general.

What cognitive styles do you use to interact with technology? PRE-REQ: https://www.oercommons.org/courseware/lesson/87536 LAST UPDATE: Changed title

An example homework that runs students on the personas and how to use them in the GenderMag Walkthrough.

Activity where the class will perform a GenderMag walkthrough on the ACM website from the GenderMag persona’s perspective.

Students mark on the continuum where they think their persona's cognitive styles are likely to fall.

The 16 lectures in this course cover the topics of adaptive antennas and phased arrays. Both theory and experiments are covered in the lectures. Part one (lectures 1 to 7) covers adaptive antennas. Part two (lectures 8 to 16) covers phased arrays. Parts one and two can be studied independently (in either order). The intended audience for this course is primarily practicing engineers and students in electrical engineering. This course is presented by Dr. Alan J. Fenn, senior staff member at MIT Lincoln Laboratory.
Online Publication

An introduction to probability through the example of flipping a quarter and rolling a die. it is a practice lesson.