Content

Lecture notebooks: https://github.com/NumEconCopenhagen/ProgEcon-lectures

Exercise notebooks: https://github.com/NumEconCopenhagen/ProgEcon-exercises

Videos: 

1. The videos linked to here were created for the course Introduction to Programming and Numerical Analysis. 

Except for the videos in week 37-38, they should therefore extra material.

2. On Absalon there will be raw recordings of the lectures.

Week 36

Lecture: Introduction (introduction survey)

Exercises: Not started yet

Videos: Introduction

Week 37

Lecture: No physical lecture (see videos and work on DataCamp courses)

Exercises: 

1. Work on the DataCamp courses

2. Problem set 0: Getting started

   • Follow the intallation guide

   • Follow the first part of the git guide

   • Run some code from the lectures

Videos: 

1. Atomic types

2. Containers

3. Conditions and loops

Week 38

Lecture: No physical lecture  (see videos and work on DataCamp courses)

Exercises: Work on the DataCamp courses

Videos: 

1. Functions 

2. Floating point numbers 

3. Classes

4. Numpy basics

Week 39

Lecture: Printing and plotting

Exercises:  Work on the DataCamp courses

Videos:

1. Print

2. Plot

Week 40

Lecture: Descriptive Economics I  + recap (recap survey)

Exercises: Problem set 1. Printing and plotting

Week 41

Lecture: Descriptive Economics II + Your first Python project

Exercises: Problem set 2. Descriptive economic analysis

Videos:

1. Structure

2. Debugging

3. Git 

Week 42

Autumn break

Week 43

Lecture: Optimization and root-finding (midterm evaluation survey)

Exercises: 

1. Introduction to git (by TA)

2. Work on data project

Videos:

1. Optimize

2. Consumer problem

3. Labor supply

4. Non-linear equations

5. Unconstrained optimization

6. Constrained optimization

Week 44

Lecture: Random numbers

Exercises: Problem set 3. Solving consumer problems

Videos: 

1. Random numbers basics

2. Random numbers example

3. Random numbers advanced

Week 45

Lecture: Solow model

Exercises: 

1. Feedback on data project

2. Problem set 4: Simulating economic dynamics

Week 46

Lecture: Walras equilibrium

Exercises: Problem set 5: Solving and simulating Solow models

Week 47

Lecture: AS-AD

Exercises: Problem set 6. Solving exchange and production economies

Week 48

Lecture: Calibration

Exercises: Problem set 7. Simulating AS-AD models

Videos: 

1. Structural estimation

Week 49

Lecture: Dynamic programming

Exercises: Work on model project

Videos: 

1. Dynamic optimization 

2. Speed 

3. numba

4. Parallelization

5. EconModel

Week 50

Lecture: Artificial intelligence + exam info (exam info survey)

Exercises: Work on your model analysis project

Week 51

Lecture: No more lectures

Exercises: Feedback on model project + exam preparation