Browse Lessons

Lecture 7: Demand for Education

Lecture 20: Public Finance (Part 3)

Lecture 15: Gender and the Labor Market

Lecture 24: Credit (Part 1)

Lecture 8: Private and Social Returns to Education

Lecture 10: Savings

Lecture 11: Demand for Health (Part 1)

Lecture 13: Family

Sustainability Education Across Learning Environments with Dr. Liz Potter-Nelson and Sarah Meyers

Lecture 18: Case Hx: Cancer Diagnostics

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 3: Measurement Techniques

Lecture 17: Direct Prediction of Outcome / Mortality

Lecture 4: Microarray - Massively Parallel Measurement

Lecture 1: Genomic Introduction

Lecture 9: Machine-learning Approach

Lecture 5: Limits of Technologies

Lecture 16: Microarray Disease Classification II

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

Lecture 2: Introduction to Biology and Genomic Measurement

Teaching Teachers with Dr. Summer Morrill (S4 E6)

Video 5: Kanji in Tobira Lesson 5

Video 4: Kanji in Tobira Lesson 4

Video 1: Kanji in Tobira Lesson 1

Video 3: Kanji in Tobira Lesson 3

Video 2: Kanji in Tobira Lesson 2

Ethics of AI Bias (full video)

Communication is the Whole Game with Paige Bright and Prof. Haynes Miller (S4E5)

Opening Computer Science to Everyone with Chancellor Eric Grimson (S4:E4)

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

Lecture 8: Project ideas discussion

Lecture 6: Recent research: BiDi Screen

Lecture 5: Recent research: Retrographic Sensing for the Measurement of Surface Texture and Shape

Lecture 8: Wavelengths and colors

Lecture 1: Introduction and fast-forward preview of all topics - Part 1

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