What will you learn in Model Thinking Course
Understand the importance of models in interpreting and shaping the world.
Apply various types of models—decision, growth, social network, and contagion models—to real-world scenarios.
Think systematically using models to improve predictions and decisions.
Recognize the strengths and limitations of different models in complex environments.
Program Overview
Module 1: Why Model?
⏱️ 1 week
Topics: Purpose of modeling, cognitive limitations, value of multiple models.
Hands-on: Introduction to conceptual modeling through basic real-world examples.
Module 2: Types of Models
⏱️ 2 weeks
Topics: Decision models, tipping points, linear vs. nonlinear thinking.
Hands-on: Analyze examples like Schelling’s segregation model and simple voting models.
Module 3: Predictive & Social Models
⏱️ 2 weeks
Topics: Forecasting, diffusion models, feedback loops, network theory.
Hands-on: Simulate social networks and diffusion of innovation.
Module 4: Growth and Aggregation
⏱️ 2 weeks
Topics: Exponential vs. logistic growth, random walks, aggregation mechanisms.
Hands-on: Interpret population dynamics and economic trends using models.
Module 5: Complex Systems & Model Ensembles
⏱️ 2 weeks
Topics: Diversity of models, combining models, wisdom of crowds.
Hands-on: Evaluate complex systems like cities, markets, and ecosystems using layered modeling.
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Job Outlook
High value across data science, public policy, economics, finance, and social sciences.
Enhances critical thinking for analysts, policymakers, researchers, and decision-makers.
Salary potential: Analysts or modelers can earn $60,000–$120,000 depending on industry and experience.
Strong foundation for roles involving forecasting, systems analysis, and simulations.
Specification: Model Thinking
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