Course syllabus

Principles of Microeconomics — Syllabus

Principles of Microeconomics Free sample edition

Principles of Microeconomics is a 3-unit, lower-division undergraduate course offered at [Institution] in [Term]. The class meets in person twice a week for about 75 minutes each time: [Meeting days/times].

This syllabus is the governing document for the course. It tells you what the course is, how your grade is built, what happens each week, and the policies you can count on. Weeks are numbered from Week 1 to Week 16; your instructor's course site gives the due date for each item.

Instructor and Contact

Instructor: [Instructor name]
Contact: [Contact info]
Office hours: [Office hours]

Bring something specific to office hours, such as a curve you are not sure which way to shift, an elasticity whose sign keeps flipping, a cost table that will not add up, or a policy claim you cannot sort into positive and normative. Reach out early: a question asked in the week it comes up is far easier to answer than one saved for exam week. Graphs and a little algebra take a while to feel natural, and almost everyone shifts the wrong curve at first. That is normal, and it is what the weekly work is for. Check the course announcements at the start of each week.

Course Description

This is the introductory, one-semester microeconomics course: the micro half of the principles-of-economics sequence. It studies how individual people, households, and firms make choices when resources are scarce, and how those choices meet in markets. Business, economics, finance, accounting, and management majors take it, and so do many students meeting a general-education requirement. It has no economics prerequisite, and the only math it uses is elementary algebra: lines, slopes, and solving two equations.

The course teaches the economic way of thinking: trade-offs, margins, incentives, and equilibrium. Every claim is run through a model you can draw and a number you can recompute. It is not an intermediate course. Demand and supply are straight lines and schedules, never derived from utility functions; costs come from a table, never from calculus; game theory is a two-by-two payoff matrix; and market failure is marginal social cost and benefit with a corrective tax. The economy as a whole (output, the price level, unemployment, money, and the central bank) belongs to the macroeconomics course and is out of scope here.

Every week practices one habit. You meet an idea in plain words first, then attach the term, then work it in a model with a small number or a described graph. Every worked example shows each arithmetic step with the words that explain it, and every curve shift names the curve, the direction, and where the new price and quantity land. Every result ends in one plain sentence that says what it means for buyers, sellers, or society.

The arc of the course

The course moves in the discipline's standard order: choice before markets, markets before firms, and firms before market failure. Weeks 1 and 2 ask what a choice really costs and why anyone gains from trading: scarcity, opportunity cost, and the production possibilities frontier (Week 1), then comparative advantage and the gains from trade (Week 2). The supply-and-demand model takes the next three weeks: demand (Week 3), supply and market equilibrium (Week 4), and elasticity (Week 5). Welfare and government follow: consumer and producer surplus and market efficiency (Week 6), then price ceilings, price floors, taxes, and subsidies (Week 7).

Week 8 is the checkpoint. It reviews the first seven weeks by the one graph and the one calculation each topic asks for, adds one small new habit, thinking at the margin, and holds the midterm. That habit is the bridge to the firm weeks: production and costs (Week 9) and perfect competition (Week 10). Market power comes next, with monopoly (Week 11) and then monopolistic competition and oligopoly, including a first look at game theory (Week 12). Factor and labor markets (Week 13) ask why a job pays what it pays. The last two weeks ask when markets fail: externalities, public goods, and common resources (Week 14), then asymmetric information, behavioral economics, and the measurement of inequality, with the course synthesis (Week 15). Week 16 holds the cumulative final.

What you will work with

One market runs through the whole term: an illustrative market for a single good, priced from 4 to 8 dollars, whose demand and supply cross at an equilibrium price of 6 dollars and a quantity of 30 units a day. You build it in Weeks 3 and 4, measure its surplus in Week 6, cap it, put a floor under it, tax it, and subsidize it in Week 7, and return to it in Week 14, when the same tax of 2 dollars a unit that cost the market a deadweight loss in Week 7 corrects an external cost. One market answers many questions, so you can see each new tool on numbers you already know.

Around that running market, the course works with a small set of illustrative datasets: an island economy's frontier, a campus food stand's two partners, a used-bicycle market, restaurant meals and bus rides, coffee, tea, and muffins, a bakery and a chair workshop, a town's only ferry, two coffee shops in a pricing game, a factory and a laundry, a neighborhood fireworks show, a used-car market, and an income distribution. Every one is constructed for this course and is labelled illustrative wherever it appears; none describes a real market. Each Model Workshop and practice set adds fresh scenarios of its own, so no week rests on one context alone.

Our approach: models, evidence, and evenhandedness

Three commitments run through every week.

Positive and normative are kept apart. A positive statement says what is, or what a model predicts, and can be tested against evidence. A normative statement says what ought to be, and rests on a value judgment. The course labels which is which in every applied-policy claim, and you will be asked to do the same in your own work. "Positive" does not mean good, and "normative" does not mean bad: one is testable and the other is value-laden.
Contested policy is taught as a named debate, with no verdict. The minimum wage, rent control, price gouging, trade and tariffs, antitrust, carbon pricing, the gig economy, and inequality are questions on which economists and citizens disagree. The course presents each as a debate, with the strongest arguments and evidence on each side, and it never tells you which side to take. Where economists disagree about the size of an effect, the course says so and cites the studies on each side by their authors and year. The model's well-established positive results are a different matter, and they are stated plainly rather than staged as debates: a binding price ceiling creates a shortage, and a per-unit tax shrinks the quantity traded.
Every number traces to a model you can draw. Every equilibrium, elasticity, surplus, tax figure, cost, and profit in the course comes from one of its datasets, so you can draw the curve or build the table and recompute the figure yourself. The firm's rule always matches its market structure: P = MC for a price taker, and MR = MC for every firm, with a monopolist reading its price from demand. A real-world figure, such as a price, a wage, or an inequality measure, appears only with the source that publishes it and its year, never from memory, and no graded item is keyed to a number economists still dispute.

No grade depends on which side of a debate you take. Your grade depends on shifting the right curve the right way, computing each figure correctly and showing the steps, saying in words what each result means, labelling positive and normative claims, and presenting the evidence on a contested question fairly.

Ideas from their source

Each named idea is credited to its original work with the year, and taught in the week shown: Adam Smith's division of labor (1776) and David Ricardo's comparative advantage (1817) in Week 2; Edward Chamberlin's and Joan Robinson's monopolistic competition (1933) and John Nash's equilibrium (1950) in Week 12; Arthur Pigou's corrective tax (1920), Ronald Coase's bargaining result (1960), Garrett Hardin's tragedy of the commons (1968), and Elinor Ostrom's documented community management of shared resources (1990) in Week 14; and George Akerlof's market for lemons (1970), Daniel Kahneman and Amos Tversky's loss aversion (1979), and Brigitte Madrian and Dennis Shea's study of defaults (2001) in Week 15. The minimum-wage debate in Week 7 draws on Card and Krueger (1994), Neumark and Wascher (2000), and Card and Krueger's reply (2000), and the rent-control debate on Diamond, McQuade, and Qian (2019).

Required Materials

You buy no textbook and pay nothing for course materials. Every reading and video is a link to an external resource, opened from the week's page so you always reach the version the course teaches from. Beyond a web browser, you need these free tools:

Desmos or a free spreadsheet: Desmos (free) or Google Sheets (free), for demand and supply schedules, surplus ladders, cost and revenue tables, hiring tables, and payoff matrices. Each Model Workshop spells out the literal entries step by step and also gives a route that works the tables by hand with any calculator, for equal credit.
Free public sources: the real figures and rules the course uses come from the issuing agency's own pages, such as the Bureau of Labor Statistics, the Census Bureau, the Department of Labor, the Federal Trade Commission, and the Environmental Protection Agency. None costs anything.
A free account with one approved AI chatbot, from the list in the AI-Use Policy below. A free tier is enough for everything in this course, and every AI-based activity also has a route that needs no AI at all.

Learning Outcomes

By the end of this course you will be able to:

Outcome A. Build, manipulate, and read microeconomic models: shift the right curve the right way and find the new equilibrium; compute an elasticity, a surplus, a cost, or a profit-maximizing output; and interpret the results in words.
Outcome B. Apply economic reasoning to real-world choices and policies, distinguishing positive analysis from normative judgment and weighing competing arguments and evidence fairly.

The eight course objectives below build toward those two outcomes. Each week's overview page names the objective that week serves and turns it into a short checklist of what you should be able to do by the end of the week.

Use the tools of economic modeling — scarcity, opportunity cost, the production possibilities frontier, comparative advantage, and the gains from trade — and distinguish positive statements (what is) from normative statements (what ought to be).
Explain how demand and supply determine a market's equilibrium price and quantity, and predict how a shift in demand or supply changes them.
Compute and interpret price, income, and cross-price elasticities of demand by the midpoint formula, and relate price elasticity to total revenue.
Measure consumer surplus, producer surplus, and market efficiency, and analyze price ceilings, price floors, taxes, and subsidies, including who bears a tax and the deadweight loss.
Describe a firm's short-run production and costs — total, marginal, and average product; diminishing marginal returns; and fixed, variable, total, average, and marginal cost — and distinguish accounting profit from economic profit.
Analyze perfect competition and monopoly with the profit-maximizing rules (P = MC for a price taker; MR = MC for a monopolist), the shutdown rule, long-run entry and exit, and the deadweight loss of market power.
Analyze monopolistic competition and oligopoly, including a two-player game, the prisoner's dilemma, and Nash equilibrium, and analyze labor markets as derived demand with the value-of-the-marginal-product hiring rule.
Analyze market failures — externalities, public goods, common resources, and asymmetric information — evaluate responses such as corrective taxes, cap-and-trade, and private bargaining, and survey behavioral economics and the measurement of inequality evenhandedly.

How this course works

Every module presents the same content in three ways — a chapter to read, a slide deck with speaker notes, and captioned videos — so you can choose how to take it in. Each module's lecture page also carries the week's explanation as one spoken-style walk-through.

A typical week runs in this order:

Week overview. Open the module's overview page, titled "Week N Overview" (for example, Week 1 Overview). It lists the week's work in order with time estimates and names the week's checkpoint, the one thing you should be able to do by the end of the week.
Chapter (about 35 to 60 minutes; each chapter prints its own time). The week's primary reading, where each idea moves from plain words to the term to a worked number or a described graph. Read it first.
Lecture page and slide deck (about 15 to 20 minutes for the lecture, plus time with the deck). The same ideas, explained aloud and in slides.
Readings and videos. An optional go-deeper menu; every video has captions.
Lecture tutorial (60 to 90 minutes). A one-on-one session with your chatbot that teaches, gives practice, and ends with a completion summary you submit.
Practice set (15 to 25 minutes). Ungraded practice with a Socratic coach that asks questions, offers hints, and gives you a short self-check rubric for each problem, at your own pace and on fresh one-off scenarios.
Model Workshop (about 90 minutes). One model worked end to end. You build the week's schedule or table in Desmos or a spreadsheet, solve it with every step on its own line, and say in plain words what the result means. Next, you ask your chatbot to solve or interpret the same problem, check its curves, signs, and rules against your own work, and catch and correct one of its economics slips by hand. You finish with a short reflection.
Discussion (about 45 minutes) and assignment (about 60 to 90 minutes). Where you put the week's ideas to work on an arguable, applied question and on problems of your own.
Quiz. A short auto-graded check of what you now know, taken on your own.

Week 8 is lighter: the chapter (about 35 to 45 minutes), the lecture, slides, readings, practice set, and discussion, then the study guide, exam-prep tutorial, practice exam, and midterm. Week 16 has no new module; it holds the final exam and its study guide, exam-prep tutorial, and practice exam.

Grading

Your course grade is the weighted average of the six groups below. The weights sum to 100%.

Grading weight by assessment group
Component	Weight
Tutorials & Practice	10%
Quizzes	10%
Workshops	20%
Assignments	25%
Discussions	15%
Exams	20%
Total	100%

What each group holds

Tutorials & Practice: the 14 weekly lecture tutorials, one in every module except Week 8. The practice sets sit beside them and are ungraded.
Quizzes: 14 weekly quizzes, one in every module except Week 8. Quizzes are closed to AI.
Workshops: the 14 weekly Model Workshops, one in every module except Week 8. Each Workshop publishes its rubric with it. The rubric rewards the correct model, the shown steps, the interpretation in words, and the chatbot slip you catch and correct, rather than the polish of your graph.
Assignments: 14 weekly assignments, one in every module except Week 8. Each assignment publishes its rubric with the assignment.
Discussions: 15 weekly discussions, one in every module from Week 1 to Week 15.
Exams: the midterm in Week 8 and the cumulative final in Week 16. Within this group, the final carries twice the midterm's weight.

Each week's discussion, and each week's assignment outside Week 8, ships in two versions. The adaptive version is published and graded by default. A traditional version that uses no AI is also in the module, unpublished; your instructor may publish it instead. An unpublished version does not appear to you and does not count. A published traditional version takes the adaptive one's place in the same group and counts the same.

Letter grades follow the standard scheme:

Letter grade by final course percentage
Letter	Percentage range
A	90–100
B	80–89
C	70–79
D	60–69
F	below 60

Weekly Schedule

The course runs for sixteen weeks: fifteen weeks of modules and a finals week. Every module from Week 1 to Week 15 holds the same materials: the week overview, the chapter, the lecture page (titled "Lecture:" followed by the module's title), the slide deck, the readings and videos page, and the practice set. Every module also ships both an adaptive discussion and a traditional no-AI alternative, and every module except Week 8 ships both an adaptive assignment and a traditional no-AI alternative. The adaptive versions are scheduled, graded, and published; the traditional alternatives are unpublished by default and count only if your instructor publishes them instead.

Module title, published graded work, and unpublished traditional alternatives by week
Week	Module	Graded and published	Traditional alternative (unpublished)
1	Scarcity, Opportunity Cost, the PPF & Economic Models	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
2	Comparative Advantage, Specialization & the Gains from Trade	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
3	Demand	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
4	Supply & Market Equilibrium	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
5	Elasticity	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
6	Consumer & Producer Surplus & Market Efficiency	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
7	Government Intervention: Price Controls, Taxes & Subsidies	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
8	Midterm Review & Exam	Adaptive discussion, midterm exam	Discussion
9	Production & Costs	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
10	Perfect Competition	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
11	Monopoly	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
12	Monopolistic Competition & Oligopoly	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
13	Factor & Labor Markets	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
14	Externalities, Public Goods & Market Failure	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
15	Asymmetric Information, Behavioral Economics & Inequality	Tutorial, Model Workshop, adaptive discussion, adaptive assignment, quiz	Discussion, assignment
16	Finals week (no module)	Final exam	None

What each week asks of you

Week 1. Workshop: A River Town's Frontier and the Council's Memo. Discussion: What Is Your Time Really Worth? Assignment: Pricing Choices on the Island Frontier.
Week 2. Workshop: Who Should Make What? Two Countries, Rice, and Cloth. Discussion: Who Should Do What, and Who Pays? Assignment: Who Should Make the Sandwiches? A Short Trade Report.
Week 3. Workshop: The Riverside Bike-Rental Stand. Discussion: Slide or Shift: Does the Word Matter? Assignment: Reading the Demand Curve: Slides, Shifts, and Buyers.
Week 4. Workshop: The Night-Market Bubble Tea Stalls. Discussion: When the Price Jumps: Signal or Burden? Assignment: Where the Market Settles: Supply, Equilibrium, and Shifts.
Week 5. Workshop: Pricing the Neighborhood Pool's Day Passes. Discussion: Raise the Fare? Who Responds, and Who Pays. Assignment: How Strongly Buyers Respond: Elasticity, Revenue, and Related Goods.
Week 6. Workshop: The Skate Swap and the Wheel Market. Discussion: Biggest or Fairest: What Should a Market Deliver? Assignment: Measuring the Gains: Surplus, Efficiency, and Who Benefits.
Week 7. Workshop: Who Really Pays for the Firewood? Discussion: Floors, Ceilings, and the Evidence: How Would You Weigh Them? Assignment: Who Pays and What Is Lost: Price Controls and a Tax.
Week 8. Discussion: Already Spent: What Should Decide the Next Step? Then the midterm, taken on your own.
Week 9. Workshop: The Catering Kitchen's Cost Table. Discussion: Is the Business Worth It? Counting the Owner's Time. Assignment: Counting Costs: Marginal, Average, and the Owner's Time.
Week 10. Workshop: How Many Loads of Hay, and Should the Farm Stay Open? Discussion: Good News or Hard News? When Competition Drives Profit to Zero. Assignment: How Many Chairs, and Should the Doors Stay Open?
Week 11. Workshop: How Many Lift Tickets, and at What Price? Discussion: One Ferry or Two? Weighing Market Power. Assignment: Why Does the Ferry Sell Only 8?
Week 12. Workshop: The Yoga Studio's Price, Before and After Rivals Arrive. Discussion: Who Wins When Rivals Cannot Cooperate? Assignment: Why Do Both Coffee Shops End Up Pricing Low?
Week 13. Workshop: How Many Workers Should the Greenhouse Hire? Discussion: Who Should Set the Terms of Work? Unions, Gig Apps, and the Hiring Rule. Assignment: How Many Bakers, and What Moves the Number?
Week 14. Workshop: How Much Smoke Should the Kilns Make? Discussion: Who Pays for the Spillover? Carbon Prices and Shared Resources. Assignment: Who Pays for the Smoke?
Week 15. Workshop: Which Town Shares Its Income More Evenly? Discussion: How Equal Is Equal Enough? Inequality, Defaults, and the Line Between Is and Ought. Assignment: When One Side Knows More, and Who Gets What.

The midterm and the final

The midterm in Week 8 covers Objectives 1 to 4 as taught in Weeks 1 to 7. Week 8 itself reviews those weeks by the one graph and the one calculation each topic asks for: the production possibilities frontier, comparative advantage, the supply-and-demand model, elasticity, surplus, and price controls and taxes. Its one piece of new material, thinking at the margin (do one more unit while its marginal benefit is at least its marginal cost, and leave sunk costs out of the decision), is worked in that week's chapter, practice set, and discussion, and returns in every firm week that follows.

The final in Week 16 is cumulative and draws on all eight course objectives. It gives the most weight to the second half of the course, Objectives 5 to 8 (production and costs; perfect competition and monopoly; monopolistic competition, oligopoly, and labor markets; and market failure, behavioral economics, and inequality), while still drawing on every first-half objective, Objectives 1 to 4. Both exams come with a study guide, a practice exam, and an exam-prep tutorial you work with your chatbot. Both are auto-graded, so every item is multiple choice, multiple answer, matching, or true/false, with no free numeric entry and no essay, and any graph an item refers to is described in words.

Attendance and Participation

This course meets in person twice a week. Come to class having opened the week's overview page and read the chapter, because class time builds on that reading with graphs, worked numbers, and debates. Your participation also shows in your weekly work: the tutorial, the Model Workshop, the discussion, the assignment, and the quiz. Each week builds on the ones before it (you cannot measure a tax's deadweight loss until you can solve for a market's equilibrium), so falling a week behind is the most common reason a grade slips. Keep to the weekly rhythm, and talk to your instructor the moment a week stalls. If you must miss class, follow the week's module from its overview page so you stay on pace.

Late Work

Late work loses 10% of the item's credit for each day it is late. If something serious comes up, such as an illness or a family emergency, contact your instructor before the due date whenever you can so the two of you can agree on a fair plan. The penalty exists to keep the course moving, not to punish genuine hardship.

Academic Integrity

The work you submit must be your own, and you are bound by your institution's academic integrity standard. Do not copy another student's work, do not submit work you did not do, and do not misrepresent how a piece of work was produced. In a course built on models and evidence, integrity also means honest numbers: every figure you submit is one your own model or table produces, every real-world figure names the source that publishes it, every idea is credited to the economist it belongs to, and the course's datasets are always treated as illustrative. Three violations matter most in this course: inventing a statistic, a study, a quotation, or a real-world figure, or crediting one to a real economist or agency, including one a chatbot supplied; fabricating or doctoring a chatbot conversation or its share link; and using AI on the quizzes, the midterm, or the final. Violations are handled under your institution's academic integrity process and may result in no credit for the item.

Your own views

Economics asks you to take positions on policies that people care about deeply. You are graded on how well you reason, never on which side you take. When a week asks for a position, you argue from the model and the evidence and label the value judgment you add; you never have to disclose your own political commitments. Treat classmates' views the same way: state them in their strongest form before you answer them, and leave out names and identifying details when you draw on your own life or work.

Accessibility and Disability

This course is designed to reflect universal-design principles and offers multiple means of representation, engagement, and expression. If you have a disability and need an accommodation, contact your institution's disability services office to arrange it, and let your instructor know so it can be put in place promptly. If any material is hard to use with your assistive technology, tell your instructor and an equivalent version will be provided. Every graph, table, and payoff matrix in the course, including any that a quiz or exam item refers to, is described in words as well as shown. This course is not yet accessibility-certified, and your feedback helps improve it. The course page Accessibility & Inclusion in Module 0 explains how the course offers multiple modes, how to turn on captions, and how to request an accommodation.

AI-Use Policy

This course uses an AI chatbot as a sparring partner, and then asks you to check its work and correct it by hand. Use any one of the approved chatbots: Claude, Gemini, ChatGPT, Grok, or Microsoft Copilot. Your instructor may edit this list. Free tiers are fine, and Copilot is often included with a campus Microsoft 365 account.

AI may be used on these activities:

Lecture tutorials (completed with a chatbot). Each week you work the tutorial in a conversation with an approved chatbot, then submit the conversation share link and your completion summary.
Practice sets (ungraded). You work the practice exercises with a chatbot coach that asks questions and offers hints.
Adaptive discussions (completed with a chatbot). You hold a real-time dialogue with an approved chatbot, then post the AI's summary with the conversation share link. This version does not require replies to classmates.
Adaptive assignments (AI-coached). You do your own work first, then work it through with a chatbot coach that scores it against the assignment's scoring criteria, and submit the self-scored report, your revised work, and the conversation share link. You remain the author: the coach asks questions and checks your reasoning; it does not do the work for you.
Model Workshops (a required AI-critique step). After your own model, you ask your chatbot to solve or interpret the same problem, and you check every curve, sign, and number it gives against your own work before trusting any of it. Then you catch and correct one of its slips by hand, such as shifting the wrong curve or shifting it the wrong way; reading a change in the good's own price as a shift of demand; flipping an elasticity's sign or calling a slope an elasticity; counting tax revenue as deadweight loss or assuming that whoever writes the check bears the tax; applying P = MC to a monopolist; or presenting a value judgment as a model result.
Exam-prep tutorials and studying. Use AI freely to review, to check your understanding, and to prepare for the exams.

AI may not be used on the quizzes, the midterm, and the final. These are closed to AI and must be entirely your own work, because they confirm that you personally can solve the models, read the graphs, and interpret the results.

A chatbot is not a source. It can explain a term or quiz you on a distinction, but it often sounds most confident where it is least reliable. It may shift demand when only the price changed, compute an elasticity on the starting value instead of the midpoint, give a monopolist the competitive rule, quote a real statistic that it cannot source, or attribute a quotation to an economist who never wrote it. Every curve it shifts you check against the determinant that changed, every number you recompute from the model, and every claim about a real figure or a study you check against the source the course names before you use it.

If your instructor publishes a traditional alternative. A traditional discussion is your own post and your own replies to classmates; a traditional assignment is your own submitted work, graded by your instructor. AI may help you think, but you write and submit the work yourself.

Disclosure. The share link documents your AI use on the AI-based activities, so they need no separate note. For any other graded work where AI help is allowed, add one line naming the tool and how you used it.

BYO-AI Access: equity, cost, and privacy

Equity and a non-AI route. You never have to create an account with a chatbot company to complete this course or to reach any grade in it. Every AI-based activity in this course carries an Equivalent route (no AI required) on its own page. It assesses the same objectives, for the same credit, against the same rubric. Take it whenever you like, for any reason or none; you do not have to ask permission, explain, or arrange it in advance.
Cost. A free tier of any approved chatbot covers everything in this course. No graded work depends on a paid subscription.
Privacy. Before you start, read what your chosen chatbot keeps of your conversations and how it uses them. Never paste personal information you would not want stored, such as your own pay, your household's finances, or details about your employer: the course's illustrative datasets are all a chatbot needs to see. Remember that a share link lets anyone who has it read that conversation.

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