Toggle navigation
JUPYTER
FAQ
View as Code
Julia 1.4.1 Kernel
View on GitHub
Execute on Binder
Download Notebook
quantecon-notebooks-julia
index_postgrad.ipynb
Table of Contents (Graduate course)
Table of Contents (Graduate course)
¶
All
Undergraduate course
Graduate course
About these Lectures
Getting Started with Julia
Setting up Your Julia Environment
Interacting with Julia
Introductory Examples
Julia Essentials
Arrays, Tuples, Ranges, and Other Fundamental Types
Introduction to Types and Generic Programming
Packages and Software Engineering in Julia
Generic Programming
General Purpose Packages
Data and Statistics Packages
Solvers, Optimizers, and Automatic Differentiation
Julia Tools and Editors
Git, GitHub, and Version Control
Packages, Testing, and Continuous Integration
The Need for Speed
Tools and Techniques
Linear Algebra
Orthogonal Projections and Their Applications
LLN and CLT
Linear State Space Models
Finite Markov Chains
Continuous State Markov Chains
A First Look at the Kalman Filter
Dynamic Programming
Job Search I: The McCall Search Model
Job Search II: Search and Separation
A Problem that Stumped Milton Friedman
Job Search III: Search with Learning
Job Search IV: Modeling Career Choice
Job Search V: On-the-Job Search
Optimal Growth I: The Stochastic Optimal Growth Model
Optimal Growth II: Time Iteration
Optimal Growth III: The Endogenous Grid Method
LQ Dynamic Programming Problems
Optimal Savings III: Occasionally Binding Constraints
Robustness
Discrete State Dynamic Programming
Multiple Agent Models
Asset Pricing II: The Lucas Asset Pricing Model
Uncertainty Traps
The Aiyagari Model
Default Risk and Income Fluctuations
Globalization and Cycles
Time Series Models
Covariance Stationary Processes
Estimation of Spectra
Additive Functionals
Multiplicative Functionals
Classical Control with Linear Algebra
Classical Filtering With Linear Algebra
References