Skip to main content
Back to top
Ctrl
+
K
CE5540
Content
Lecture 1: Data
Lecture 2: Statistics
Lecture 3: Introduction to R
Lecture 4: Probability Theory
Lecture 5: Distributions
Lecture 6: Probability Analysis in R
Lecture 7: Sampling
Lecture 8: Estimation
Lecture 9: Sampling in R
Lecture 10: Hypothesis Testing
Lecture 11: Hypothesis Tests
Lecture 12: Assignment 1 Discussion
Lecture 13: Quiz 1 Discussion
Lecture 14: Multivariate Data
Lecture 15: Data Visualization
Lecture 16: Data Association
Lecture 17: Mutlivariate Data Analysis in R
Lecture 18: Linear Regression - Foundations
Lecture 19: Linear Regression - Diagnostics
Lecture 20: Linear Regression in R
Lecture 21: Logistic Regression - Foundations
Lecture 22: Logistic Regression - Diganostics
Lecture 23: Logistic Regression in R
Lecture 24: Symbolic Regression
Lecture 27: Setting up Python
Lecture 28: Simulation Modeling
Lecture 29: Surplus Tutoiral
Lecture 30: Discrete Event Simulation
Lecture 31: Single-Server Queueing Systems
Lecture 32: Single-Server Queueing Systems in Python
Lecture 33: Agent-based Simulation
Lecture 34: Car-Following Models
Lecture 35: Cellular Automata in Python
Lecture 37: Suplus Lecture
Lecture 38: Introduction to Julia
Lecture 39: Assignment 3 Discussion
Live Code
Repository
Suggest edit
Open issue
.ipynb
.pdf
Lecture 29: Surplus Tutoiral
Lecture 29: Surplus Tutoiral
#
