Content

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

Lecture videos: https://www.youtube.com/playlist?list=PLpFlKyGKUp8fnCRmDTjhE029bvFz1vQsj

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

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Week 6

Lecture: Introduction

Videos:

1. Introduction

Exercises: Not started yet

Week 7

Videos: 

1. Atomic types

2. Containers

3. Conditions and loops 

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

Week 8

Videos:

1. Functions 

2. Floating point numbers 

3. Classes

4. Numpy basics

Exercises: Work on the DataCamp courses

Week 9

Videos: 

1. Print

2. Plot

3. Optimize

Exercises: Problem set 1. Solving the consumer problem

Week 10

Videos: 

1. Random numbers basics

2. Random numbers example

3. Random numbers advanced (+) (optional)

Exercises: Problem set 2. Finding the Walras equilibrium in a multi-agent economy

Week 11

Lecture: Overview and inaugural project

Videos:

1. Structure

2. Debugging

3. Git 

4. Consumer problem

5. Labor supply

6. Production Economy

Exercises: 

1. Introduction to git (by TA)

2. Work on your inaugural project

Week 12

Videos: 

1. Data basics

2. Data: Load, clean, and save

Exercises: Problem set 3. Loading and structuring data from Denmark Statistics

Week 13

Videos:

1. Combining datasets

2. Fetching data

3. Split-apply-combine

Exercises: Problem set 4. Analyzing data

Week 14

No videos

Exercises: Work on data project

Week 15

Lecture: Data project

Videos:

1. Algorithms basics

2. Searching and recursion

3. Sorting

Exercises: Problem set 5. Writing your own algorithms

Week 16

Videos: 

1. Linear equation systems

2. Non-linear equations

3. Symbolic math

Exercises: Problem set 6. Solving the Solow model

Week 17

Videos: 

1. Unconstrained optimization

2. Constrained optimization

3. Dynamic optimization

Exercises: Problem set 7. Solving the consumer problem with income risk

Week 18

Lecture: Model project

Videos: 

1. Structural estimation

2. Ramsey

3. OLG

Exercises: Work on your model analysis project

Week 19

Videos:

1. Speed

2. numba

3. Parallelization

Exercises: Work on your model analysis project

Week 20

Lecture: Exam (description + slides)

Videos: 

1. EconModel

Exercises: Feedback on model project

Projects

Files: https://github.com/NumEconCopenhagen/IntroProg-lectures/tree/main/projects

Project 0: Inaugural.

Project 1: Data analysis.

Project 2: Model analysis.

Peer-feedback guide.

Previous Exams

Files: https://github.com/NumEconCopenhagen/IntroProg-lectures/tree/main/exams