Last modified: 2022-08-08
Current location of this page: https://subversion.american.edu/aisaac/webnotes.html

Syllabi and Lecture Notes

Click Your Course Number!

This page links to some of my lecture notes and course supplements. All notes are under development. I do what I can to make these notes accurate and complete, but you are responsible to be a critical reader.

Econ 372
International Economics: Finance

Please rely on the Cavas website.

Econ 450/650
Growing Artificial Societies

Additional Notes and Resources

See our Canvas site for the lecture notes. Below you will find a few additional resources.

NetLogo Introduction
NetLogo Programming
Spreadsheet Basics
Functional Programming: An Introduction
NetLogo Utilities
Introduction to Subversion
Introduction to UML
Introduction to the NetLogo Profiler Extension
Introduction to the Pareto Distribution
Integral Calculus: Introduction (Lorenz Curve)

Some Related Material

Learning Python
Basic LaTeX
What is ASCII?

Econ 672

Lecture Notes and Other Resources

Comment: Notes provided here will be very similar to, but not identical to, the notes used in class.


International Finance: Lecture Notes on Exchange Rates (book format)
Macroeconomic Accounting
MRW lecture notes
Accessing and Plotting FRED Data with Mathematica
Introduction to Growth (These notes illustrate the use of Mathematica, but you may focus on the algebra and charts and skip all Mathematica details.)
Using Mathematica Datasets provides an introduction to the Dataset data type in Mathematica.
Mathematica Intro and a useful list of Mathematica commands.
My first steps toward a Mathematica Introduction for this class. (Please report typos!)

Introduction to Growth (skip all but Solow and MRW)
Introduction to MRW's Data (using Mathematica)
Bumann & Lesnick’s Theoretical Model (includes a Mathematica demo)
Introduction to the Pareto Distribution (includes a Mathematica demo)
Exchange Rate Data with Python
Cointegration and Error Correction: brief intro
Differential Equations
Applied Time Series (Very Brief Intro)
Fixed Exchange Rates: Intro

Econ-301/501

Solow Model.

Romer Model.

Deficits and Debt.

Unemployment.

Inflation.

Introduction to the Short Run.

Introduction to the IS Curve.

Introduction to the MP Curve.

Aggregate Supply Considerations.

Logarithms.

Gini.

Brief stats notes.

Accounting Notes.

Debt Dynamics

Useful Supplements

C-CPI

Measuring and Detecting Inflation

Boskin Commission Report

BLS response to Boskin Commission.

Triplett, Jack E., Economic Theory and BEA's Alternative Quantity and Price Indexes. From the April 1992 SURVEY OF CURRENT BUSINESS.

Steindal, Charles, Chain Weighting.

Econ705

Lecture Notes

Lecture notes are copyrighted by Alan G. Isaac. All rights are reserved. Students taking my course may freely make one copy of the notes for their personal use.

See our Canvas course for more resources!

Please understand that I am making last year's notes available to you. Naturally I will add and subtract from these when developing this year's lectures, so they are not identical to what you see in class. The notes are intended as a supplement to but NOT a substitute for your own note-taking.

Please inform me of typographical and other errors.

Function Basics (Math Camp)
Vectors: Intro (Math Camp)
Matrices: Intro (Math Camp)
Logic
Sets
Using Mathematica Datasets provides an introduction to the Dataset data type in Mathematica.
Counting and Basic Probability
Sequences and Series (2008)
Relations
Intro to Analysis
Functions
Differential Calculus: Introduction
Multivariate Functions
Implicit Function Theorem
Vectors: Intro
Matrices 2: Basic Matrix Algebra
Determinants and Inverses
Linear Transformations
Eigensystems
Quadratic Forms (optional).

Interested students may also look at some Python resources. (Not required!)

Econ712

Please report typos!

Mathematica Intro

Intro to Macro Tools with Mma

Applied Time Series (Very Brief Intro)

IS-LM Review

Cagan Model (RatEx, Discrete Time)

Three Asset Model

Debt Dynamics

Budget Constraint

Term Structure Model

A tiny bit of stats. (Very preliminary.)

Blinder model slides

Blinder model slides

Okun's Law

Phillips Curve

Aggregate Supply/Natural Rate (rough)

New Keynesian Phillips Curve (very rough)

Analysis Notes

Theorem of the Maximum Notes

Dynamic Programming Notes

Consumption

Investment

Differential Equations

Growth

OG Model and SSI

Learning Python

Econ 713 Lecture Notes and Supplementary Readings

Set Theoretic Background (with homework problems).

Background on Binary Relations (with homework problems).

Brief Reflections on Rationality

Abstract Choice Theory.

Miscellaneous Supplements to Notes on Choice Theory I.

Miscellaneous Supplements to Notes on Choice Theory II.

Analysis

Utility Function

Brief Intro to Social Dilemma Games

Simulating Evolutionary Games

Theorem of the Maximum

Irrational Choice: brief notes.

Behavior under Risk: brief notes.

Dynamic Programming
Comment: These notes remain very rough and a bit unfocused. Please report any typos.

Moral Hazard: brief notes.

Econ 782

This course will not have much in the way of lecture notes, but eventually there will be a few supplements.

Maximum Likelihood Estimation

Econ 796 materials

Please report typos!

Learning Python

Mathematica Intro
Intro to Macro Tools with Mma
Introduction to the Pareto Distribution

Solow Model (via Mathematica)

Dynamic Programming Notes
Dynamic Programming Notebook
Introduction to the Gambler’s Ruin Problem

Cagan Model (RatEx, Discrete Time)

Three Asset Model

Debt Dynamics

Budget Constraint

Term Structure Model

A tiny bit of stats. (Very preliminary.)

Blinder model slides

Okun's Law

Phillips Curve

Aggregate Supply/Natural Rate (rough)

New Keynesian Phillips Curve (very rough)

Analysis Notes

Theorem of the Maximum Notes

Dynamic Programming Notes

Consumption

Investment

Differential Equations

Growth

OG Model and SSI

Learning Python

© 2024 Alan G. Isaac. Some rights reserved:
This work is licensed under the Creative Commons Attribution License version 2 (or any later version, if you prefer).