Intermediate Lessons

Lecture 14: Supply of Health Care (Part 2)/ Gender (Part 1)

Lecture 17: Land Markets (Part 2)

Lecture 21: PF (Part 4) / Labor (Part 1)

Lecture 25: Credit (Part 2)

Lecture 2: Poverty Traps: Theory

Lecture 23: Labor (Part 3)

Lecture 20: Public Finance (Part 3)

Lecture 15: Gender and the Labor Market

Lecture 8: Private and Social Returns to Education

Lecture 11: Demand for Health (Part 1)

Lecture 7: Informational Resources

Lecture 20: Practical Genomic Medicine

Lecture 8: Complex Traits: What to Believe

Lecture 6: Information Science at the Center of Genomic Medicine

Lecture 17: Direct Prediction of Outcome / Mortality

Lecture 4: Microarray - Massively Parallel Measurement

Lecture 5: Limits of Technologies

Lecture 15: Microarray Disease Classification

Lecture 12: Pharmacogenomics

Lecture 19: Modeling and Reverse Engineering

Lecture 11: The Importance of Data Representation

Lecture 10: Association with Markers

Lecture 13: Case Hx: Complex Traits

Ethics of AI Bias (full video)

Lecture 4: Computational Illumination: dual photography, relighting - Part 1

Lecture 8: Project ideas discussion

Lecture 8: Wavelengths and colors

Lecture 5: Lightfields, part 1 - Part 2

Lecture 9: "Cameras We Cannot Picture": a survey of the computational imaging field

Lecture 3: Epsilon Photography: Improving Film-like Photography

Lecture 6: Cameras for human-computer interaction (HCI)

Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 2

Lecture 8: Survey of Hyperspectral Imaging Techniques

Lecture 6: Lightfields, part 2

Lecture 3: Single-shot Multi-domain Camera

Lecture 4: Computational Illumination: dual photography, relighting - Part 2

Lecture 2: Modern optics and lenses; ray-matrix operations; context enhanced imaging - Part 1

Lecture 11: Coded imaging

Lecture 9: Computational imaging: a survey of medical and scientific applications

Lecture 5: Lightfields, part 1 - Part 1

Guest lecture (2022): Unmaking and remaking community (part 2)

Unit 2: The Forecast is ‘Always’ wrong, Video 2: Demand Forecasts

Unit 4: Parking Garage Case Example, Video 5: Design to Manage Uncertainties

Unit 2: the Forecast is always wrong, Video 1: Cost Estimates

Unit 2: The Forecast is "Always" wrong, Video 4: Common Forecasting Process Inherently Flawed

Unit 7: Drivers of Flexibility, Video 2: Economies of Scale

Unit 10: Utility Analysis and Multidimensional Evaluation, Video 4: Consequences

Unit 9: Value of Information 5, Video 5: Is Test Worthwhile?