A comprehensive course that teaches students to design, build, govern, and optimize markets—from local marketplaces to global digital platforms—using economics, behavioral science, game theory, and data-driven methods. Suitable for beginners and professionals seeking deep expertise.
Already have an account? Choose Sign in on the next page.
About this course
Market Engineering is an intensive, interdisciplinary program designed to equip learners with the knowledge and skills to engineer markets as deliberate, efficient, and ethical systems.
Unlike traditional economics courses, this program treats markets as engineered systems made of rules, incentives, technologies, and human behavior. Students learn to design new markets, analyze failing ones, and apply advanced tools like mechanism design, algorithmic platforms, and simulation modeling.
Key focus areas include:
Foundations: Economics, market evolution, behavioral insights, and the principles of trade and exchange.
Core Tools: Incentive structures, pricing mechanisms, auctions, matching systems, game theory, and mechanism design.
Advanced Systems: Platform engineering, AI-driven markets, trust and security, digital marketplaces, and global scaling.
Ethics and Governance: Power dynamics, ethical constraints, regulatory interactions, and responsible market design.
Applied Practice: Market analytics, simulation modeling, labs, and capstone projects that involve real-world market design.
Graduates will be capable of creating robust, fair, and efficient markets across technology platforms, public policy, finance, and emerging digital ecosystems, with a strong foundation in ethics, resilience, and strategic decision-making.
What's inside
101 lessons
1What a Market Really Is (Beyond Buying and Selling)
10Historical Case Studies of Market Success & Failure
11Supply & Demand (Engineering Perspective)
12Elasticity and Behavioral Response
Show all 101 lessons
13Scarcity, Abundance, and Substitution
14Externalities and Spillover Effects
15Market Failures and Why They Happen
16Rational Models vs Real Humans
17Cognitive Biases in Markets
18Trust, Reputation, and Social Proof
19Friction, Convenience, and Defaults
20Nudges vs Controls in Market Design
21Defining Market Boundaries
The final quiz
It opens when you finish every lesson. Score 75% or more to get your certificate. You have 3 tries. If none of them pass, you go through the course again and get 3 new tries.
22
Participant Roles and Incentives
23Entry, Exit, and Access Rules
24Liquidity, Thickness, and Market Depth
25Centralized vs Distributed Coordination
26Incentives vs Motivation
27Monetary and Non-Monetary Incentives
28Reward Structures and Threshold Effects
29Penalties, Fees, and Constraints
30Perverse Incentives and Unintended Consequences
31Short-Term vs Long-Term Incentive Design
32Fixed Pricing Systems
33Dynamic and Surge Pricing
34Auctions (English, Dutch, Vickrey, Sealed-Bid)
35Matching Markets
36Fairness vs Efficiency Tradeoffs
37Price Discovery and Information Flow
38Strategic Interaction in Markets
39Nash Equilibrium (Applied Intuition)
40Repeated Games and Reputation
41Signaling, Screening, and Bluffing
42Collusion and Anti-Collusion Design
43What Mechanism Design Is and Why It Matters
44The Revelation Principle
45Truthful vs Manipulable Systems
46Designing Under Constraints
47Real-World Mechanism Failures
48Two-Sided and Multi-Sided Markets
49Network Effects (Positive & Negative)
50Cold-Start Problems
51Platform Fees and Revenue Models
52Winner-Take-All Dynamics
53Platform Governance and Control
54Matching Algorithms
55Recommendation Systems as Market Shapers
56Automated Pricing Systems
57Feedback Loops and Runaway Effects
58Bias, Fairness, and Transparency
59Human Oversight vs Automation
60Fraud, Bots, and Market Exploits
61Identity and Verification Systems
62Reputation Attacks and Gaming
63Cost-of-Attack Engineering
64Designing for Adversarial Behavior
65Bubbles and Crashes
66Liquidity Crises
67Moral Hazard and Adverse Selection
68When and How Markets Break
69Market Repair and Recovery Strategies
70Market Power and Concentration
71Rent Extraction vs Value Creation
72Dark Patterns and Manipulative Design
73Long-Term Societal Consequences
74Ethical Responsibilities of Market Engineers
75When Markets Should Not Be Used
76Governments as Market Designers
77Carbon, Healthcare, and Education Markets
78Labor and Gig Economy Design
79Cross-Cultural Market Assumptions
80Global Scaling and Legal Constraints
81Market Health Metrics
82Liquidity, Participation, and Stability Indicators
83Leading vs Lagging Signals
84A/B Testing Market Rules
85Detecting Unintended Effects
86Agent-Based Modeling
87Game-Theoretic Simulations
88Scenario and Stress Testing
89Sensitivity Analysis
90Forecasting Market Outcomes
91Lab: Design a Local Services Market
92Lab: Engineer a Digital Marketplace
93Lab: Create a Credit or Token-Based Market
94Lab: Diagnose and Repair a Broken Market
95Lab: Stress-Test a Market Under Adversarial Conditions
