Why this course matters
- Economics
- Strategy
- Marketing
- Operations
- Public Policy
Microeconomics provides the mechanism connecting customer choice, firm costs, competitive strategy, market design and policy.
Course Guide
A practical, ready-to-adapt guide for designing or refreshing a Microeconomics course. It brings together course positioning, constructively aligned intended learning outcomes, twelve core concepts with teaching notes, a 12-session syllabus, applied simulations, recent readings, case studies and assessment guidance.
A Microeconomics course should teach students how consumers, firms and institutions make choices under scarcity, how demand and supply determine market outcomes, and how elasticity, consumer choice, production costs, competition, market power, strategic interaction, information and incentives shape those outcomes. A coherent 12-session course moves from marginal reasoning and equilibrium through firm behaviour and market structure, then closes with market failure, policy, behavioral economics and digital platforms.
You can run this architecture as an undergraduate core, an applied MSc or MBA Business Economics course, or a shorter executive module. A full semester version commonly uses roughly 24-36 contact hours within about 150-180 notional learning hours. The distinctions students must learn are as important as the formulas: movement versus shift, slope versus elasticity, accounting versus economic cost, short run versus long run, price taking versus market power, and private versus social cost.
teach Microeconomics, Managerial Economics or a closely related course
sessions as the most common course-design model
taught at undergraduate level
taught at postgraduate level (levels overlap)
offered as core; the rest elective
include an applied or experiential component
Microeconomics provides the mechanism connecting customer choice, firm costs, competitive strategy, market design and policy.
How well this course prepares students for six role families, scored out of 10. Indicative, based on how directly the concepts map to each path - not a placement statistic.
Each is mapped to the session where students already hold the concepts to make a defensible decision, rather than added as an activity at the end.
This guide is for professors, lecturers, course coordinators, module leaders, unit convenors, instructors of record and programme directors designing or refreshing Microeconomics, Managerial Economics, Business Economics or closely related teaching. It is globally portable across course, module and unit terminology and can support curriculum approval, intended learning outcomes, constructive alignment and assurance-of-learning evidence.
It is especially useful for undergraduate business and economics programmes, MSc conversion or management degrees, MBA core economics and executive education where students need enough theory to explain markets but are ultimately expected to make applied pricing, competition, resource-allocation or policy judgements.
A Microeconomics course examines how individual consumers and firms make choices, how those choices interact through markets and how market structure changes price, output, profit and welfare. The most teachable lifecycle begins with scarcity and marginal analysis, builds demand, supply and elasticity, explains consumer and firm behaviour, then compares competitive markets with monopoly and oligopoly before adding labor, information and contracting.
The second half should make the distinctions that turn a methods course into applied economics: price sensitivity is not the same as slope, accounting cost is not economic cost, market growth is not the same as market attractiveness, and a market failure does not automatically prove that any intervention improves welfare. Students should leave able to model a mechanism, quantify the important trade-off, identify missing evidence and defend a recommendation for a business, market or policy decision.
A one-screen planning view. Most of what a course-approval form needs is here; the teaching detail sits in the sections below.
Planning area | Suggested approach |
|---|---|
Best fit | Undergraduate Economics, Business, Management and related programmes; MSc or MBA Business Economics/Managerial Economics; executive education where pricing, competition and policy mechanisms matter. |
Typical length | 10, 12 or 14 teaching sessions, with 12 as the standard model. Roughly 24-36 contact hours plus independent work to about 150-180 notional learning hours for a full semester module, subject to local credit rules. |
Course role | Often a core economics foundation in undergraduate business programmes and MBA curricula, or an applied elective/intermediate core in economics and management programmes. |
Useful prerequisites | Basic numeracy and algebra. A formal intermediate course may require introductory economics and calculus; an applied business version can remain graphical and algebraic. |
Main student output | A market-analysis or policy memo that uses demand, cost, market structure, strategic interaction and welfare evidence to make and defend a recommendation. |
Best assessment fit | A group applied output carrying most of the summative weight, plus an individual component such as an assumptions note, analytic appendix, reflection or short oral defence that produces attributable evidence. Most courses use two assessment points rather than every format listed later. |
Best simulation fit | Porter’s Five Forces after oligopoly and industry-structure teaching; Go To Market after demand, willingness-to-pay and pricing; Managerial Accounting after cost theory; ESG and PESTLE after externalities/policy; SWOT only as a final synthesis. |
The intended learning outcomes use assessable verbs and constructive alignment: each can be evidenced through calculations, diagrams, memos, simulations, cases or oral defence. Bloom’s taxonomy is used once as a design check, with most summative credit placed on analysis, evaluation and defended application rather than recall.
The structure reflects patterns commonly seen in Ivy League and leading global business-school courses on Microeconomics and closely related modules such as Managerial Economics, Business Economics, Industrial Organization, Strategy and Pricing. This is a course-design pattern, not a claim that every school uses the same sequence or technical depth.
There are twelve core concepts. The sequence deliberately moves from individual choice to markets, from markets to firms, from firms to strategic competition, and then into information, market failure, policy and modern digital applications.
1. Scarcity, opportunity cost and marginal decision-making
2. Demand, supply and market equilibrium
3. Elasticity, incidence and comparative statics
4. Consumer choice, willingness to pay and demand
5. Production, costs, scale and the firm
6. Perfect competition and competitive supply
7. Monopoly, market power and price discrimination
8. Oligopoly, strategic interaction and game theory
9. Labor markets, information and incentives
10. Externalities, public goods and common resources
11. Government intervention, taxation and regulation
12. Behavioral, digital and platform microeconomics
The following notes turn each concept into a teachable question, runnable case-style example, evidence-producing activity and clear route to the next stage of the course.
The strongest Microeconomics courses do not feel like twelve disconnected diagrams. Each stage should leave behind a small piece of evidence that students can reuse in the final recommendation. This makes formative work cumulative and lets the lecturer see whether a student can move from model to mechanism to judgement.
Stage of economic work | Principal concepts | Expected student output | Assessment evidence |
|---|---|---|---|
Frame the decision | Scarcity, opportunity cost and marginal analysis (1) | A short decision rule that states the constrained resource, next-best alternative and marginal criterion. | Formative diagnostic or short individual note. |
Build the market | Demand, supply, equilibrium and elasticity (2-3) | A market model with labelled mechanism, equilibrium change and elasticity/incidence interpretation. | Problem set, annotated graph or pricing brief. |
Explain demand | Consumer choice and willingness to pay (4) | A demand-side analysis identifying customer heterogeneity, constraints and consumer surplus. | Customer-demand memo or Go To Market reflection. |
Model the firm | Production, costs and competitive supply (5-6) | A cost/capacity analysis and price-taking output decision. | Cost worksheet plus individual assumptions note. |
Analyse market power | Monopoly, price discrimination, oligopoly and game theory (7-8) | A pricing and competitive-interaction recommendation with strategic responses. | Group industry memo plus Porter’s Five Forces evidence. |
Design incentives | Labor, information and contracts (9) | A hiring, screening or incentive recommendation tied to the information problem. | Contract-design brief. |
Evaluate welfare and policy | Externalities, public goods, taxes and regulation (10-11) | A welfare and policy memo separating efficiency, incidence and distribution. | Policy evaluation or ESG/PESTLE reflection. |
Integrate modern markets | Behavioral and digital platform economics (12) | A capstone market recommendation that states assumptions, network effects, evidence gaps and model limits. | Summative group recommendation plus individual defence. |
Models support economic judgement. They do not make the decision.
Credit the interpretation of a model, the defence of assumptions, recognition of what the model omits and the link between the result and real incentives. A technically clean diagram with an unexplained shift should not outscore a rougher analysis that identifies the correct mechanism and evidence gap.
The architecture can stay stable across levels; scaffolding and cognitive demand should change. Undergraduates often need complete data, worked examples and repeated graph-to-sentence translation. MSc and MBA students can receive incomplete briefs, conflicting evidence and less guidance about which model applies. Executive cohorts benefit from shorter derivations and deeper challenge around strategic response, incidence and implementation.
Course design area | Undergraduate version | Postgraduate / MBA / executive version |
|---|---|---|
Course emphasis | Build core mechanisms carefully: equilibrium, elasticity, consumer choice, costs, competition, market failure and basic strategic interaction. | Move faster into pricing, market structure, game theory, information, regulation and defended business or policy judgement. |
Technical depth | Graphs, percentages, simple algebra and structured optimisation where programme maths allows. | Use calculus, formal optimisation or richer game theory where the cohort is prepared; otherwise increase ambiguity rather than algebra. |
Consumer theory | Use budgets, willingness to pay and graphical indifference curves with structured examples. | Compress derivation and emphasise demand estimation, segmentation and pricing implications. |
Firm theory | Teach marginal/average cost, shutdown, entry and scale with complete cost schedules. | Use incomplete cost data, capacity choices, pass-through and strategic investment questions. |
Competition | Introduce monopoly and oligopoly with simple numerical examples. | Add commitment, repeated interaction, market definition, platform competition and regulatory implications. |
Reading load | Textbook chapters, accessible empirical articles and short cases. | Add recent journal articles, live market evidence and cases with competing interpretations. |
Student activity | Structured calculations, diagrams, short memos and guided simulations. | Open-ended market recommendations, simulation debriefs, case defence and viva-style challenge. |
Assessment style | Credit correct mechanism, calculation, diagram and explanation before adding ambiguity. | Credit assumptions, evidence quality, strategic response, uncertainty, distribution and model limits. |
The syllabus follows a full applied microeconomic lifecycle: marginal decision-making, market equilibrium, elasticity, consumer demand, production and costs, competitive supply, market power, oligopoly and games, labor and information, externalities, policy and digital markets. Application is distributed through the course rather than deferred to a final capstone.
The design principle worth keeping if you change nothing else: every session should produce something that can be inspected - a decision rule, graph, elasticity interpretation, cost note, pricing recommendation, payoff matrix, contract design, welfare memo or market recommendation.
Indicative 12-session Microeconomics course arc. Use alongside the detailed syllabus table below.
Session | Topic | Teaching focus | Student activity | Best-fitting simulation, where relevant | Assessment or output |
|---|---|---|---|---|---|
1 | Microeconomic thinking: scarcity, incentives and marginal analysis | Opportunity cost, marginal reasoning, sunk costs, economic profit, models and positive versus normative claims. | Solve a constrained resource-allocation problem and defend the marginal decision rule. | One-page decision note identifying the relevant opportunity cost and excluded sunk costs. | |
2 | Demand, supply and market equilibrium | Demand and supply schedules, market equilibrium, shifts, shortages, surpluses and comparative statics. | Build a market from data, then trace two demand and supply shocks. | Annotated equilibrium diagram plus written causal chain. | |
3 | Elasticity, tax incidence and pass-through | Price, income, cross-price and supply elasticity; revenue; tax incidence; time horizon and market definition. | Calculate midpoint elasticities and compare tax incidence under two market structures. | Elasticity and incidence memo with sensitivity to market definition. | |
4 | Consumer choice, willingness to pay and demand | Preferences, budget constraints, consumer surplus, willingness to pay and market demand. | Compare customer segments and build a simple willingness-to-pay demand schedule. | Customer-demand note identifying target, willingness to pay and evidence gaps. | |
5 | Production, costs, scale and the firm | Production, marginal product, fixed and variable cost, marginal cost, economic cost, economies of scale and capacity. | Analyse a capacity decision and reconcile accounting measures with economic marginal logic. | Cost and capacity recommendation with marginal-cost reasoning. | |
6 | Perfect competition and competitive supply | Price taking, profit maximisation, shutdown, entry, exit, industry supply and efficiency benchmarks. | Use a firm cost schedule to derive output and short-run supply under three prices. | Competitive-firm decision sheet plus surplus interpretation. | |
7 | Monopoly, market power and price discrimination | Marginal revenue, markup, deadweight loss, elasticity, segmentation, two-part pricing and practical constraints. | Compare single pricing and segmented pricing for a common dataset. | Pricing recommendation with elasticity, customer and welfare commentary. | |
8 | Oligopoly, game theory and industry structure | Best responses, Nash equilibrium, repeated interaction, entry, rivalry, concentration, barriers and industry profitability. | Solve a pricing game, then convert it into an industry-attractiveness recommendation. | Payoff-matrix analysis plus defended market-entry recommendation. | |
9 | Labor markets, information and incentives | Marginal revenue product, wage setting, monopsony, search, adverse selection, moral hazard and incentive contracts. | Design a hiring and incentive policy under imperfect information. | Labor-market or contract-design memo with predicted behavioural responses. | |
10 | Externalities, public goods and welfare | Private versus social costs, corrective taxes, property rights, public goods and common resources. | Calculate a simple external cost and compare a tax, cap and negotiated solution. | Welfare analysis and intervention recommendation. | |
11 | Government intervention, taxation and regulation | Tax incidence, subsidies, price controls, competition policy, regulation and implementation trade-offs. | Evaluate a live policy brief through efficiency, incidence and distribution. | Policy memo separating mechanism, incidence, distribution and implementation. | |
12 | Behavioral economics, digital platforms and course integration | Behavioral departures, network effects, platform pricing, data, switching costs and integrated market analysis. | Map a two-sided platform and defend a capstone market or policy recommendation. | Capstone recommendation with assumptions, model limits and missing evidence. |
Microeconomics is a model-based subject, but the models matter because they help someone choose. Simulations add value when students already know the theory and must apply it to a shared decision under competition, incomplete information or conflicting objectives. They are particularly useful for market entry, pricing, industry structure, cost decisions, externalities and policy interpretation.
There is also an accreditation and quality-assurance rationale. Experiential activity can produce observable evidence that students can apply, evaluate and defend rather than simply recall. The important design condition is the debrief: students should connect simulation decisions back to demand, cost, strategic interaction, welfare and evidence quality. If you need the accreditation language itself, what AACSB and AMBA say about simulations sets it out.
Teaching format | What it does well | Limitation | Best use in this course |
|---|---|---|---|
Traditional case study | Provides a rich market, company or policy context with exhibits and a defined teaching question. | Students can discuss a decision without having to commit under time pressure or react to another role. | Demand, pricing, cost, market structure, policy and digital-market analysis. |
Simulation | Requires students to interpret common evidence, make connected decisions and compare outcomes with peers or opposing roles. | Needs prior concept teaching and a structured debrief or the economic mechanism can be lost inside the activity. | After demand/pricing, cost, industry-structure, externality or policy concepts are already established. |
A simulation is not a substitute for teaching the concept and it should not be used simply as an end-of-term reward. Place it after the theory, state the decision students must make, then assess or debrief the reasoning.
For this course, the two strongest deep-dive fits are Porter’s Five Forces and Go To Market. The first converts market-structure theory into an industry-attractiveness decision; the second gives every student common evidence on customer segments, price tolerance, margins and competitive positioning. The other approved simulations are best used selectively at the specific concepts shown below.
Course point | Simulation | How to use it | Why it fits |
|---|---|---|---|
After Session 4 or 7: demand, segmentation and pricing | Use after willingness-to-pay and elasticity teaching. Students act individually as founders, choose a target segment, regions, access channel, positioning and price, then compare outcomes. | Makes heterogeneous demand, price tolerance, differentiation and competitive positioning concrete without pretending the activity directly estimates a demand curve. | |
After Session 5: cost and firm decisions | Use as an applied bridge from cost concepts to product and capital-allocation decisions. | Contribution margin, break-even and product economics create a practical contrast between accounting measures and economic marginal/opportunity-cost reasoning. | |
After Session 8: market structure and strategic interaction | Use as the main competition simulation after students know oligopoly, barriers to entry, substitutes, buyer/supplier power and pricing power. | Students must turn industry evidence into scores and a Go, Conditional Go or Reject decision, which gives a useful debrief on industry profitability and strategic response. | |
After Session 10: externalities and stakeholder incentives | Use selectively after externality and welfare analysis. | Role-based negotiation exposes the difference between private incentives, external effects, regulation, workforce interests and financial viability. | |
After Session 11: policy and regulatory environment | Use as a secondary application when students need to translate external policy and regulatory evidence into firm-level mechanisms. | The best debrief asks which PESTLE factors shift demand, supply, costs, entry barriers or expected returns rather than treating the framework as microeconomic theory itself. | |
Session 12 capstone synthesis | Use only after the economics is established, as a synthesis tool for a strategic recommendation. | Students classify and prioritise evidence, then the lecturer can force each SWOT claim back to a specific microeconomic mechanism. |
AI changes the assessment signal more than it changes the core economics. Students can now generate a diagram explanation, solve a payoff matrix, draft a policy memo or produce a polished market analysis quickly. The lecturer therefore needs to shift credit toward whether the student can select the right model, verify the data, explain the mechanism, defend assumptions and identify what the model cannot establish.
A practical permitted-use policy is usually stronger than an unpoliced blanket ban: allow declared use for brainstorming, structure and checking where local rules permit it, but make the student responsible for every calculation, diagram, citation and recommendation. Use live challenge, individual assumptions notes and oral sampling where attribution matters.
AI lowers the cost of first-draft analysis and makes it easier to explore scenarios. It also raises the risk of fabricated evidence, unit errors, hidden assumptions and confident but mechanically wrong comparative statics. In Microeconomics, the defensible response is to assess the mechanism and the defence.
Teaching area | AI implication | Lecturer response |
|---|---|---|
Demand and elasticity | AI can draft an elasticity calculation or invent a plausible demand curve without valid data. | Require sourceable data, unit checks, explicit market definition and a short defence of the elasticity assumption. |
Diagrams and comparative statics | AI can produce polished explanations while shifting the wrong curve or omitting the causal mechanism. | Mark the causal chain and require students to annotate what changed, what was held fixed and why. |
Cost and firm analysis | AI can confuse accounting averages with economic marginal or opportunity cost. | Ask students to state the decision horizon and identify which costs actually change. |
Market structure | AI can generate a generic Five Forces or monopoly narrative that is detached from evidence. | Require market definition, rival response, entry conditions and evidence for pricing power. |
Game theory | AI can solve a payoff matrix but hide whether the student recognises best responses or credible commitment. | Use a new matrix in class or ask students to explain why the proposed equilibrium is stable. |
Policy evaluation | AI may give confident welfare claims without incidence, distribution or implementation analysis. | Require a diagram or calculation plus a separate distributional and implementation paragraph. |
Core textbook: Robert Pindyck and Daniel Rubinfeld, Microeconomics, 9th Global Edition, Pearson. Pearson positions the text for intermediate Microeconomics and its contents span supply and demand, consumer behaviour, production, costs, competition, market power, game theory, factor markets, information, externalities and behavioral economics.
Alternative textbook: The Economy 2.0: Microeconomics, CORE Econ. The digital text is free to read and is especially useful for an applied, real-world-first course or where textbook access cost matters.
The twelve fictional cases in the Concept Details are licence-free seminar exercises with enough data to run as written. For a longer assessed case, the following two verified publisher cases give useful applications of demand, pricing, market structure and digital-platform economics.
Demand and pricing case
Abhishek Rohit, Debdatta Pal and Pradyumna Dash, Ivey Publishing, 2017, Product # W17229.
A direct fit for demand, price elasticity, input-cost shocks, competitor response and revenue. Place it after Session 3 or 7. Assessment fit: a short pricing memo that calculates the likely demand response, states assumptions and recommends a price under alternative competitor scenarios.
Digital platform case
Govert Vroom and Isaac Sastre Boquet, IESE / Harvard Business Publishing, 2024, Product # I00018.
Use for two-sided and platform economics, scale, bargaining power, freemium pricing, rivalry and profitability. Place it in Session 12 or as a bridge from Session 8. Assessment fit: an industry and platform-economics memo identifying which side creates network value and where market power sits.
This sample is designed as a high-application session after students have learned demand, cost and market-power basics. It can run as one longer class or be split after the payoff-matrix exercise. In a two-hour format, shorten the mini-lecture to 15 minutes and move the industry-structure analysis into pre-class preparation or follow-up.
Session stage | Time | Teaching purpose | Lecturer approach | Student output |
|---|---|---|---|---|
Pre-class preparation | Before class | Give students the technical foundation before class time is used for strategic judgement. | Assign a short game-theory reading, one payoff matrix and a one-page industry brief. | One-page note identifying the likely strategic interdependence and one uncertain assumption. |
Opening frame | 10 minutes | Set the central question: “If your rival reacts, is your preferred price still optimal?” | Introduce two firms, a simple payoff structure and the industry-entry decision. | Students state the decision and identify whose reaction matters. |
Mini-lecture | 25 minutes | Connect best responses and Nash equilibrium to business competition. | Review dominant strategies, best responses, Nash equilibrium, repeated interaction and credible commitment. | Students can explain why a stable outcome need not maximise joint profit. |
Payoff-matrix exercise | 30 minutes | Move from vocabulary to strategic calculation. | Teams solve a pricing matrix, then alter one payoff to reflect a cost or demand shock. | Annotated matrix with best responses and equilibrium. |
Industry-structure analysis | 40 minutes | Connect stylised games to entry barriers, substitutes and bargaining power. | Use the Porter’s Five Forces Simulation or a structured case extract once the game-theory mechanism is clear. | Industry-attractiveness recommendation linked to price, costs and rivalry. |
Committee challenge | 25 minutes | Test whether students can defend a recommendation under rival response. | Challenge each team on entry, pricing, capacity, substitutes and which assumption would reverse the decision. | Oral defence of market-entry or pricing recommendation. |
Debrief | 20 minutes | Connect strategy back to microeconomic mechanisms. | Compare stable equilibrium, industry attractiveness and welfare. Ask where the framework adds information and where it does not. | Individual reflection identifying one mechanism, one missing datum and one revised decision. |
Closing question: If your preferred action is profitable only when a rival does not respond, have you made an economic recommendation or merely described a wish?
Because the intended learning outcomes reward mechanism, analysis and defended judgement rather than recall, assessment should ask students to calculate where needed and then recommend, compare or defend. A common defensible split is 60% group applied output and 40% individual defence, assumptions note or reflection, subject to local regulations. Publish criteria that reward correct mechanisms, evidence quality, model limits and the ability to respond to challenge.
Eight formats are shown as a menu. Most courses use two assessment points, not all eight. Where group work is used, collect individual evidence so free-riding is visible before moderation rather than after a mark is challenged.
Assessment format | How it works |
|---|---|
Applied market-analysis memo | Students analyse a market, identify demand and cost drivers, classify the market structure and make a pricing, entry or policy recommendation. |
Elasticity and pricing brief | Students estimate or calculate elasticity from provided data, test revenue implications and defend a pricing recommendation under alternative assumptions. |
Cost and capacity analysis | Students distinguish economic from accounting cost, identify marginal and avoidable costs, then recommend output or capacity. |
Game-theory or competition memo | Students construct a payoff matrix, identify equilibrium, examine commitment or repeated interaction and translate the result into competitive strategy. |
Policy evaluation | Students compare a tax, subsidy, price control or regulation using efficiency, incidence, distribution and implementation criteria. |
Group industry presentation | Teams defend a market-structure or entry recommendation and respond to challenge from the lecturer or classmates. |
Individual simulation reflection | Students explain two or three decisions, identify the economic mechanisms behind them and state what evidence would change the decision. |
Short oral defence | A 10-15 minute individual questioning session testing assumptions, calculations and command of any group work. |
The strongest courses repeatedly move students from a model to a mechanism, then from the mechanism to a decision or welfare claim. Most of the weaknesses below arise when one of those links is skipped.
Common mistake | Why it weakens the course | Better approach |
|---|---|---|
Starting with equations before economic intuition | Students can manipulate symbols without knowing what behaviour the model is describing. | Begin with a decision, mechanism or data table, then formalise it. |
Treating ceteris paribus as a claim that the real world is simple | Students dismiss models as unrealistic rather than seeing assumptions as a way to isolate mechanisms. | Ask what is held fixed, why, and what changes when the assumption is relaxed. |
Confusing a movement along a curve with a shift | Students misdiagnose the cause of price and quantity changes. | Require a named non-price determinant for every shift. |
Teaching elasticity as slope | Students lose the percentage and unit-free interpretation and make wrong comparisons. | Calculate elasticity from percentage changes and interpret the magnitude in words. |
Collapsing economic cost into accounting cost | Opportunity cost, avoidable cost and decision horizon disappear from firm analysis. | State the decision and horizon before classifying costs. |
Presenting perfect competition as a literal description | Students either reject the model or overapply it. | Teach it as a benchmark for marginal cost, entry, profit and welfare. |
Teaching monopoly and oligopoly without strategic response | Students can calculate a markup but cannot explain market behaviour when rivals react. | Move from monopoly pricing to game theory and industry structure using the same market. |
Treating market failure as automatic proof that regulation helps | Students skip information, implementation and government-failure constraints. | Require a named wedge, a remedy, incidence analysis and an implementation risk. |
Using simulations before students hold the theory | Students remember the competitive activity but cannot explain the economics behind their choices. | Place simulations after the relevant concept and make the debrief map decisions back to mechanisms. |
Having no explicit AI policy | Polished output can hide weak command of assumptions, diagrams or calculations. | State permitted use, require declaration and assess defence, evidence and live reasoning. |
Subject questions come first, followed by delivery, assessment and copy-paste course-design questions.
For pricing, firm decisions, competitive strategy and business applications of economic reasoning.
For industry structure, competitive advantage, market entry and strategic synthesis.
For evidence, estimation, uncertainty and quantitative interpretation that support applied economics.
For cost behaviour, contribution, break-even, internal decisions and product economics.
Use after market-structure and strategic-interaction teaching.
Use after demand, willingness-to-pay and pricing teaching.
Use these options to explore the teaching materials, speak with the team, or see how the simulations would fit into your Microeconomics course.
Start
Start
A practical introduction for lecturers running an applied economics, strategy or business simulation for the first time.
Operate
Operate
See the lecturer workflow for setup, delivery, dashboards, debriefs and student support.
Contact
Contact
Tell us your role, course size and what you are planning to teach.
Book a demo
Demo
During the call, we can: