1.1 - Course Overview
1.2 Part A - Robot or Not? Activity
1.2 Part B - Autonomous Robot Videos
1.3 - Anatomy of a Self-Driving Car
1.4 Part A - Robot & Computer Perception
1.4 Part B - Perception: Create Your Own Face Filter
1.5 - Route Finding
1.6 - Case Study
Exit Ticket - My Dream Bot
End of Unit Mini Project - My Dream Bot
End of Unit - Student Assessments
What is AI?
5 Big Ideas
Describe AI to someone
Give examples of how they are affected by AI technology in their own daily lives
Recognize AI in their daily lives
Other Teacher Adaptations (folder)
Autonomy
Navigation
Sensing and Perception
Explain what autonomy means.
Given a robot, explain what it does and what kinds of decisions it makes.
Decide whether a device is a robot or not. Roombas are robots. Your grandmother’s antique Electrolux vacuum is not a robot. Why not?
Coming Soon!
Autonomy
Navigation
Sensing and Perception
Explain what autonomy means.
Given a robot, explain what it does and what kinds of decisions it makes.
Decide whether a device is a robot or not. Roombas are robots. Your grandmother’s antique Electrolux vacuum is not a robot. Why not?
Coming Soon!
Sensors
Reasoning and Maneuvering
Explain the sensors on a self-driving car: what they do and where they are located.
Explain the decisions a self-driving car makes, or alternatively, explain the subsystems that make up a self-driving car.
Activity: Self-driving Cars
Activity: Autonomous Robot Sensor Experts (NEW)
Pixels and Images
Feature extraction and edge detection.
Perception
What are "features"
Explain how some part of perception works, e.g., explain an edge detector, or explain how face templates are aligned with a face image (see the Snapchat video).
Coming Soon!
Pixels and Images
Feature extraction and edge detection.
Perception
What are "features"
Provide a copy of the slides to students
Use the main slide deck
Graphs and trees
Encoding as a graph
Breadth-First Search
Reasoning algorithms
Solve route-finding problems by coloring the graph, or by constructing a search tree.
Graph coloring is more fun, but some types of search problems can’t be solved that way; they require us to construct a search tree.
This is why we want students to learn both methods. They’ll use the search tree method later in the course when we look at AI algorithms for game playing and puzzle solving.
Route Finding (Pick One)
Route Finding Student Slides/Worksheet (NEW)
Includes colorblind version
Dream Bot - Ticket Out the Door (Slide 8) the main slide deck
Fully vs. Somewhat Autonomous
Legal responsibilities
Risk vs. Reward
Identify the safety/social issues with self-driving cars.
Describe the current state of autonomous driving technology.
Debate what to do about people sleeping in their Teslas.
My Dream Bot
This activity is designed to help students make connections across the modules in Unit 1. We've added slide at the end of each one of the decks in this module and provided preview on this site to help you plan your activities for the day.
In this activity, students will envision a robot that solves a societal problem they care about. After each module, they will add more details about their robot and how it works based on the main concepts presented in the module.
Implementation: Each student should make a copy of the slide deck and use it to incrementally work through the slides building their bot. If students need some support with designing the physical structure of their robots, they can give students the Imagine Your Robot slides.
Preparation: You can design your own robot as a model that you can show students to help them see how they might make connections between the module's content and their robot.