Intermediate Lessons

16. The SUPREM IV Process Simulator

Lecture 6: Thermionic power conversion

Lecture 9: Solar concentration and solar thermal technology

Lecture 4: Kinetic formulation of thermoelectricity

Lecture 8: Radiative heat transfer

Lecture 7: Photovoltaic cells

Lecture 3: Energy states in matter

Lecture 2: Thermoelectric effect and thermoelectric devices

Lesson 9 Part 1

Lesson 10 Part 2

Lesson 6 Part 2

Lesson 8 Part 1

Lesson 9 Part 2

Lesson 10 Part 1

Lesson 7 Part 1

Lesson 7 Part 2

Lesson 8 Part 2

Lesson 6 Part 1

Innovation, Past and Future with Prof Christopher Capozzola

Lecture 4: Heat Engines and Energy Conversion Efficiency

Lecture 9: Case Studies - Specific Heats and Phase Transformations

Lecture 12: Case Studies - Saturation Vapor Pressure

Lecture 23: Building Binary Phase Diagrams, Part I

Lecture 24: Building Binary Phase Diagrams, Part II

Lecture 25: Building Binary Phase Diagrams, Part III

Lecture 26: CALPHAD - Case Studies and Guest Lecture

Lecture 31: Reacting Multi-phase Systems

The Kitchen Cloud Chamber with Prof. Anne White

Lecture 16: (More) Explanatory Data Analysis: Nonparametric Comparisons and Regressions

Lecture 12: Assessing and Deriving Estimators

Lecture 11: Special Distributions, continued. The Sample Mean, Central Limit Theorem, and Estimation

Lecture 14: Causality

Lecture 07: Functions of Random Variables

Lecture 19: Practical Issues in Running Regressions

Lecture 21: Endogeneity and Instrument Variables

Lecture 02: Fundamentals of Probability

Lecture 15: Analyzing Randomized Experiments

Lecture 05: Summarizing and Describing Data

Lecture 04: Gathering and Collecting Data

Lecture 03: Random Variables, Distributions, and Joint Distributions

Lecture 13. Confidence Intervals, Hypothesis Testing, and Power Calculations

Lecture 20: Omitted Variable Bias

Lecture 17: The Linear Model

Lecture 06: Joint, Marginal, and Conditional Distributions

Lecture 22: Experimental Design

Lecture 18: The Multivariate Model

Using Mock Exams as an Opportunity to Model Thought Processes

Lecture 22: Free Energy-Composition Diagrams, General Case