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.

Solving circuits with differential equations is hard. If we limit ourselves to sinusoidal input signals, a whole new method of AC analysis emerges. Created by Willy McAllister.

Here's a preview of how AC analysis is going to work. To get ready we need to review some of the ideas from trig and complex numbers. Created by Willy McAllister.

We break a sinusoidal input voltage into two complex exponentials. Using superposition, we can recover the complex output signals and reassemble them into a real sinusoidal output voltage. Created by Willy McAllister.

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 and principal AI concepts about clustering, dimensionality reduction, reinforcement learning and deep learning to solve real-life problems.

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.

Women at NASA are doing some A-MAZE-ING things! Challenge your puzzle skills and learn about women at NASA making a mark in science, technology, engineering and mathematics. Celebrate their accomplishments with these printable worksheets.

Student groups create working radios by soldering circuit components supplied from AM radio kits. By carrying out this activity in conjunction with its associated lesson concerning circuits and how AM radios work, students are able to identify each circuit component they are soldering, as well as how their placement causes the radio to work. Besides reinforcing lesson concepts, students also learn how to solder, which is an activity that many engineers perform regularly giving students a chance to be able to engage in a real-life engineering activity.

In the last two decades, research in various aspects of mobile ad-hoc networks, MANETs, has been very active, motivated mainly by military, disaster relief and law enforcement scenarios. More recently, location information has become increasingly available; partially prompted by the emerging trend to incorporate location or position sensing into personal handheld devices. An evolutionary natural step is to adopt such position-based operation in MANETs. This results in what we call position-based MANETs. In such settings, devices are equipped with position-sensing capabilities and rely on position information in their operation. The main distinguishing feature of the envisaged position-based MANET environment is the communication paradigm based not on permanent or semi-permanent identities, addresses or pseudonyms, but on instantaneous node locations or positions. In some application settings, such as: military, law enforcement and search-and-rescue, node identities are not nearly as important as node positions. Such settings have certain characteristics in common. First, node position is very important: knowledge of the physical, as opposed to logical or relative topology, makes it possible to avoid wasteful communication and focus on nodes located within a specific area. Thus, the emphasis is not on the longterm node identity, but rather on current node position. Second, critical environments face security and privacy attacks. Security attacks aim to distribute false location and network ing control information, e.g., routing control messages, or impede the propagation of genuine information. The goal of privacy attacks is to track nodes as they move. Third, when the operating environment is hostile, as is the case in military and law enforcement settings, node identities must not be revealed. We use the term hostile to mean that communication is being monitored by adversarial entities that are not part of the MANET. The need to hide node identities becomes more pressing if we further assume that MANET nodes do not trust each other, due to a suspicious environment where nodes can be compromised. In such an environment, it is natural for node movements to be obscured, such that tracking a given node is impossible or, at least, very difficult. While we do not claim that such suspicious and hostile location-based MANET environments are commonplace, they do occur and require high security and privacy guarantees. While doing all these;there is a challenge for nodes to maintain anonymity protection from outside observers or malicious attackers. Full anonymity protection can be achieved only when ;sources,destinations and routes all are protected. In this work, to offer better anonymity protection, we propose an Anonymous Position-based Security Aware Routing Protocol (APSAR). Experimental results exhibit consistency with the theoretical analysis, and show that APSAR achieves better route anonymity protection compared to other anonymous routing protocols. Also, APSAR achieves comparable routing efficiency to the GPSR geographical routing protocol. The work in this thesis addresses a number of security and privacy issues arising in position-based MANETs. models. We address the problem of position based security aware routing in consideration with better anonymity protection .

This book was created to support Project 677 in APSC 100 in the Faculty of Engineering at Queen’s University during the winter term of 2019, and is being updated and expanded to support Project 725 in Winter 2021. It provides a publicly visible collection of information that will help with this design project. Use of these resources elsewhere under the CC license is encouraged, but not supported. The contents of this book will grow and change over the term. Please fell free to add your comments or questions in any of the sections and I will try to address them.

The resources in this book are not comprehensive and are only intended to provide a starting point to explore design options. In particular, there will be many examples illustrated by single products that are not the only, or even the best solutions for a particular application. You will need to go well beyond the contents of this book to make your independent design decisions.

The models used for building heat transfer are very much simplified for an introduction to the ideas and should be used cautiously. Design of actual building systems should be undertaken in much greater detail. The target here is to use models that don’t require you to learn any new physics.

The secondary reason this book exists is to give me some practice using PressBooks to develop Open Educational Resources (OER). Some of the files that are linked from this book are on Google Drive, and some are on GitHub.

Word Count: 13755

(Note: This resource's metadata has been created automatically as part of a bulk import process by reformatting and/or combining the information that the author initially provided. As a result, there may be errors in formatting.)

For students interested in studying biomechanical engineering, especially in the field of surgery, this lesson serves as an anatomy and physiology primer of the abdominopelvic cavity. Students are introduced to the abdominopelvic cavity—a region of the body that is the focus of laparoscopic surgery—as well as the benefits and drawbacks of laparoscopic surgery. Understanding the abdominopelvic environment and laparoscopic surgery is critical for biomechanical engineers who design laparoscopic surgical tools.

This activity focuses on getting the students to think about disabilities and how they can make some aspects of life more difficult. The students are asked to pick a disability and design a new kind of sport for it.

Students learn about the concepts of accuracy and approximation as they pertain to robotics, gain insight into experimental accuracy, and learn how and when to estimate values that they measure. Students also explore sources of error stemming from the robot setup and rounding numbers.

At this point in the unit, students have learned about Pascal's law, Archimedes' principle, Bernoulli's principle, and why above-ground storage tanks are of major concern in the Houston Ship Channel and other coastal areas. In this culminating activity, student groups act as engineering design teams to derive equations to determine the stability of specific above-ground storage tank scenarios with given tank specifications and liquid contents. With their floatation analyses completed and the stability determined, students analyze the tank stability in specific storm conditions. Then, teams are challenged to come up with improved storage tank designs to make them less vulnerable to uplift, displacement and buckling in storm conditions. Teams present their analyses and design ideas in short class presentations.