Glossary

Difficulty Guide:

⭐ Foundational (5–10 min each) - ⭐⭐ Intermediate (10–20 min each) - ⭐⭐⭐ Challenging (20–40 min each) - ⭐⭐⭐⭐ Advanced/Research (40+ min each)

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AI Literacy — Exercises: AI and Justice — Criminal Justice, Civil Rights, and Accountability

AI Literacy — Exercises: AI and the Environment — Climate, Resources, and Sustainability

Data & Society — Exercises: The Data All Around Us

Data & Society — Exercises: Who Owns Your Data?

Data & Society — Exercises: The Attention Economy

Data & Society — Exercises: Power, Knowledge, and Data

Data & Society — Exercises: Ethical Frameworks for the Data Age

Data & Society — Exercises: What Is Privacy? Definitions and Debates

Data & Society — Exercises: Surveillance: From Panopticon to Platform

Data & Society — Exercises: Data Collection and Consent

Data & Society — Exercises: Privacy by Design and Data Minimization

Data & Society — Exercises: The Economics of Privacy

Data & Society — Exercises: Health Data, Genetic Data, and Biometric Privacy

Data & Society — Exercises: How Algorithms Shape Society

Data & Society — Exercises: Bias in Data, Bias in Machines

Data & Society — Exercises: Fairness — Definitions, Tensions, and Trade-offs

Data & Society — Exercises: Transparency, Explainability, and the Black Box Problem

Data & Society — Exercises: Accountability and Audit

Data & Society — Exercises: Generative AI: Ethics of Creation and Deception

Data & Society — Exercises: Autonomous Systems and Moral Machines

Data & Society — Exercises: The Regulatory Landscape: A Global Survey

Data & Society — Exercises: The EU AI Act and Risk-Based Regulation

Data & Society — Exercises: Data Governance Frameworks and Institutions

Data & Society — Exercises: Cross-Border Data Flows and Digital Sovereignty

Data & Society — Exercises: Sector-Specific Governance: Finance, Health, Education

Data & Society — Exercises: Enforcement, Compliance, and the Limits of Law

Data & Society — Exercises: Building a Data Ethics Program

Data & Society — Exercises: Data Stewardship and the Chief Data Officer

Data & Society — Exercises: Privacy Impact Assessments and Ethical Reviews

Data & Society — Exercises: Responsible AI Development

Data & Society — Exercises: When Things Go Wrong: Breach Response and Crisis Ethics

Data & Society — Exercises: Misinformation, Disinformation, and Platform Governance

Data & Society — Exercises: Digital Divide, Data Justice, and Equity

Data & Society — Exercises: Labor, Automation, and the Gig Economy

Data & Society — Exercises: Environmental Data Ethics and Climate

Data & Society — Exercises: Children, Teens, and Digital Vulnerability

Data & Society — Exercises: National Security, Intelligence, and Democratic Oversight

Data & Society — Exercises: Global South Perspectives on Data Governance

Data & Society — Exercises: Emerging Technologies and Anticipatory Governance

Data & Society — Exercises: Designing Data Futures

Data & Society — Exercises: Your Responsibility — From Knowledge to Action

How Humans Get Stuck — Exercises: The Archaeology of Error

How Humans Get Stuck — Exercises: The Authority Cascade

How Humans Get Stuck — Exercises: Unfalsifiable by Design

How Humans Get Stuck — Exercises: The Streetlight Effect

How Humans Get Stuck — Exercises: Survivorship Bias at Scale

How Humans Get Stuck — Exercises: The Plausible Story Problem

How Humans Get Stuck — Exercises: The Anchoring of First Explanations

How Humans Get Stuck — Exercises: Imported Error

How Humans Get Stuck — Exercises: The Sunk Cost of Consensus

How Humans Get Stuck — Exercises: The Replication Problem

How Humans Get Stuck — Exercises: How Incentive Structures Manufacture Error

Handling Confrontation — Chapter 15: Exercises — Reframing

Intro CS Python — Exercises: Welcome to Computer Science

Intro CS Python — Exercises: Variables, Types, and Expressions

Intro CS Python — Exercises: Making Decisions — Conditionals and Boolean Logic

Intro CS Python — Exercises: Repetition: Loops and Iteration

Intro CS Python — Exercises: Functions — Writing Reusable Code

Intro CS Python — Exercises: Strings — Text Processing and Manipulation

Intro CS Python — Exercises: Lists and Tuples

Intro CS Python — Exercises: Dictionaries and Sets

Intro CS Python — Exercises: File Input and Output

Intro CS Python — Exercises: Error Handling

Intro CS Python — Exercises: Modules, Packages, and the Python Ecosystem

Intro CS Python — Exercises: Testing and Debugging

Intro CS Python — Exercises: Object-Oriented Programming — Thinking in Objects

Intro CS Python — Exercises: Inheritance and Polymorphism

Intro CS Python — Exercises: OOP Design: Patterns and Principles

Intro CS Python — Exercises: Algorithms and Problem-Solving Strategies

Intro CS Python — Exercises: Recursion

Intro CS Python — Exercises: Searching and Sorting: Classic Algorithms

Intro CS Python — Exercises: Stacks, Queues, and Beyond

Intro CS Python — Exercises: Working with Data: CSV, JSON, and APIs

Intro CS Python — Exercises: Regular Expressions

Intro CS Python — Exercises: Libraries and Virtual Environments

Intro CS Python — Exercises: Web Scraping and Automation

Intro CS Python — Exercises: Version Control with Git

Intro CS Python — Exercises: Software Development Lifecycle

Intro CS Python — Exercises: What's Next — Pathways in Computer Science

Introductory Statistics — Exercises: Why Statistics Matters (and Why You Might Actually Enjoy This)

Introductory Statistics — Exercises: Types of Data and the Language of Statistics

Introductory Statistics — Exercises: Your Data Toolkit — Python, Excel, and Jupyter Notebooks

Introductory Statistics — Exercises: Designing Studies — Sampling and Experiments

Introductory Statistics — Exercises: Exploring Data — Graphs and Descriptive Statistics

Introductory Statistics — Exercises: Numerical Summaries — Center, Spread, and Shape

Introductory Statistics — Exercises: Data Wrangling — Cleaning and Preparing Real Data

Introductory Statistics — Exercises: Probability — The Foundation of Inference

Introductory Statistics — Exercises: Conditional Probability and Bayes' Theorem

Introductory Statistics — Exercises: Probability Distributions and the Normal Curve

Introductory Statistics — Exercises: Sampling Distributions and the Central Limit Theorem

Introductory Statistics — Exercises: Confidence Intervals: Estimating with Uncertainty

Introductory Statistics — Exercises: Hypothesis Testing: Making Decisions with Data

Introductory Statistics — Exercises: Inference for Proportions

Introductory Statistics — Exercises: Inference for Means

Introductory Statistics — Exercises: Comparing Two Groups

Introductory Statistics — Exercises: Power, Effect Sizes, and What "Significant" Really Means

Introductory Statistics — Exercises: The Bootstrap and Simulation-Based Inference

Introductory Statistics — Exercises: Chi-Square Tests: Categorical Data Analysis

Introductory Statistics — Exercises: Analysis of Variance (ANOVA)

Introductory Statistics — Exercises: Nonparametric Methods

Introductory Statistics — Exercises: Correlation and Simple Linear Regression

Introductory Statistics — Exercises: Multiple Regression

Introductory Statistics — Exercises: Logistic Regression

Introductory Statistics — Exercises: Communicating with Data: Telling Stories with Numbers

Introductory Statistics — Exercises: Statistics and AI: Being a Critical Consumer of Data

Introductory Statistics — Exercises: Lies, Damn Lies, and Statistics: Ethical Data Practice

Introductory Statistics — Exercises: Your Statistical Journey Continues

Why They Watch — Exercises: Why We Can't Look Away — The Psychology of Attention

Why They Watch — Exercises: Your Brain on Screens

Why They Watch — Exercises: The Scroll-Stop Moment

Why They Watch — Exercises: The Emotion Engine

Why They Watch — Exercises: The Curiosity Gap

Why They Watch — Exercises: Memory and Repeat

Why They Watch — Exercises: What "Going Viral" Really Means

Why They Watch — Exercises: The Algorithm Whisperer

Why They Watch — Exercises: The Share Trigger

Why They Watch — Exercises: Network Effects

Why They Watch — Exercises: Trends, Timing, and Cultural Moments

Why They Watch — Exercises: Anatomy of a Hit

Why They Watch — Exercises: The Three-Second Story

Why They Watch — Exercises: Character and Relatability

Why They Watch — Exercises: Conflict, Tension, and Payoff

Related Terms