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.
This lesson starts by showing children some of the kinds of advertisements they might run into online and helping them analyze these ads with a critical eye.
This teacher-made PowerPoint presentation can be used by the Virgin Islands History teachers to teach the topic: AFRICAN SLAVERY.
Adapting the song "A-Hunting We Will Go," students put a "whale" in a "pail" and even "take a little "bear" and hug it if we "dare"."
Welcome to The AI Challenge, a self-paced Design Forward module created to build faculty capacity with generative artificial intelligence (GENAI). In each topic page you will find related resources, questions, and activities.
Since this is a self-paced module, you should proceed in whatever way makes you comfortable. Feel free to take as little or as much time as necessary and focus on whatever components resonate most deeply with you and your own pedagogical value and needs.
We look forward to seeing you around the module!
Description: Students play with an AI that can react to their movement, and choreograph something that uses this tool. They can show off their choreography to the rest of the class
Skills/knowledge you'll gain: Movement, collaboration
Length: 1-4 hours
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: AI can create realistic-looking images and videos that were never actually filmed or taken as a photo. These images and videos are called deepfakes. This is a quick lesson requiring no background where students learn about deepfakes, as well as ways to verify information that they see
Skills/knowledge you'll gain: Critical thinking
Length: 1 hour
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: A quick and fun way to become familiar with some core ideas of modern AI while playing with Google Quick, Draw
Skills/knowledge you'll gain: Understanding of what AI is, privacy and bias concerns
Length: 1 hour
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: An interactive deep dive into the sort of ethical concerns that companies creating AI based systems should consider. Students explore these ideas through role-playing running their own companies and making ethical decisions for those companies
Skills/knowledge you'll gain: Human-centered design, ethics
Length: 10 hours
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
Description: A short deep dive into how facial recognition technology is used, some biases it has, and some ways companies, individuals, and the law are fighting against its use in surveillance
Skills/knowledge you'll gain: Ethics
Length: 1 hour
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
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.
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.
Description: Learn how conservationists use AI image recognition to save time identifying how and where to protect endangered species. Build your own species-identifying AI system
Skills/knowledge you'll gain: Conservation
Length: 1-2 hours
Curriculum aligns to:
- NGSS Engineering standards
- ISTE standards
- Common Core ELA/Literacy standards
- Also maps to CSTA standards
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.
Overview of what the Alternative Minimum Tax is and its purpose. Created by Sal Khan.
In this learning object, students will learn how to format in-text citations and reference list entries for various multimedia.
In this learning object, students will learn how to format in-text citations and reference list entries for print and online books.