├── docs ├── _config.yml ├── .DS_Store ├── old_index.md └── index.md ├── .DS_Store └── README.md /docs/_config.yml: -------------------------------------------------------------------------------- 1 | theme: jekyll-theme-cayman -------------------------------------------------------------------------------- /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QuantEcon/ASE_ENSEA_workshop/main/.DS_Store -------------------------------------------------------------------------------- /docs/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/QuantEcon/ASE_ENSEA_workshop/main/docs/.DS_Store -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # QuantEcon Summer Course in Quantitative Economics 2 | 3 | This is the GitHub repository for the [QuantEcon](https://quantecon.org/) 4 | Summer Course in Quantitative Economics, to be run in partnership with the 5 | [African School of Economics](https://africanschoolofeconomics.com/), and the 6 | [Institute of Statistics and Applied Economics](https://ensea.ed.ci) (ENSEA). 7 | 8 | The course is made possible by generous sponsorship from [Amazon](https://www.amazon.com/). 9 | 10 | For further details see the [course homepage](https://quantecon.github.io/ASE_ENSEA_workshop/). 11 | -------------------------------------------------------------------------------- /docs/old_index.md: -------------------------------------------------------------------------------- 1 | # QuantEcon Summer Course in Quantitative Economics 2 | 3 | In July 2022, [QuantEcon](https://quantecon.org/) will run an online Summer 4 | Course in Quantitative Economics, in partnership with the [African School of 5 | Economics](https://africanschoolofeconomics.com/) (ASE), and the [Institute of 6 | Statistics and Applied Economics](https://ensea.ed.ci/en/) (ENSEA). The 7 | target audience for the course is talented young economists from ASE and ENSEA 8 | who aspire to a career in data science or computer-driven economic 9 | modeling. The course will provide students with an introduction and exposure 10 | to key tools in quantitative economics, which are increasingly in demand in 11 | the rapidly transforming economics job market. 12 | 13 | The lead instructor and academic coordinator for the program is [Thomas J. 14 | Sargent](http://www.tomsargent.com/), Professor of Economics at New York 15 | University and 2011 Nobel Laureate in Economic Sciences. 16 | 17 | The course is made possible by generous sponsorship from [Amazon](https://www.amazon.com/). 18 | 19 | ## Syllabus 20 | 21 | The language of instruction will be English. The programming language used in 22 | the course will be Python. 23 | 24 | The course will be run online as a series of 10 three-hour classes. The 25 | course will cover topics from 26 | 27 | * Foundations of programming in Python 28 | * Data engineering with Pandas 29 | * Linear algebra, principal components and matrix decompositions 30 | * Optimization, filtering, dynamic programming and optimal control 31 | * Search and matching models 32 | * Asset pricing 33 | * Bayesian and frequentist statistics 34 | * Economic and social networks 35 | * Linear programming, optimal transport and mechanism design 36 | * Introduction to auction theory 37 | * Quantitative economic history 38 | * High-performance computing with Python 39 | 40 | Background reading on these topics can be found in the following lecture 41 | series: 42 | 43 | * [Python Programming for Economics and Finance](https://python-programming.quantecon.org/intro.html) 44 | * [Quantitative Economics with Python](https://python.quantecon.org/intro.html) 45 | 46 | 47 | ## Mode of Instruction 48 | 49 | Students will require access to a computer. (Programming tasks will be 50 | assigned but there is no need to install software.) Students will be provided 51 | with materials to help them prepare for classes and solidify understandings of 52 | earlier classes. 53 | 54 | Students will be encouraged to form study groups to foster working in teams (a 55 | valuable skill in both industry and government and academia) We hope that 56 | study groups can include students with mixtures of skills and mathematical and 57 | statistics backgrounds. (This also typically happens in industry and 58 | government and academia.) 59 | 60 | 61 | ## Learning Outcomes 62 | 63 | Participants will learn how to connect economic modeling problems to numerical 64 | implementations in Python using clear, efficient and effective code. 65 | Participants will be able to apply basic software engineering principles to 66 | organize, share and collaborate on coding problems. 67 | 68 | These skills are in high demand for economists and data scientists at Amazon 69 | and similar organizations around the world. 70 | 71 | ## Eligibility 72 | 73 | The course material will be challenging. Ideal candidates will already have 74 | had some exposure to probability, linear algebra and principles of economics, 75 | up to the level of a high-quality undergraduate economics or computer science 76 | program. Programming experience will be helpful but is not a prerequisite. 77 | 78 | ## Questionnaire 79 | 80 | Interested students should complete [the questionnaire](https://docs.google.com/forms/d/1lG6kDYzM58pt7lRJpY-1n5ZOn6JA3TYdWs5W_tgNgKY/). 81 | 82 | ## Registration 83 | 84 | Information about how to register for this course will be provided soon. 85 | 86 | ## Contact 87 | 88 | Organizers of the program can be reached through `contact@quantecon.org`. 89 | -------------------------------------------------------------------------------- /docs/index.md: -------------------------------------------------------------------------------- 1 | # QuantEcon Summer Course in Quantitative Economics 2 | 3 | The Summer Course in Quantitative Economics 2022 will be run by 4 | [QuantEcon](https://quantecon.org/) in partnership with the [African School of 5 | Economics](https://africanschoolofeconomics.com/) (ASE), and the [Institute of 6 | Statistics and Applied Economics](https://ensea.ed.ci/) (ENSEA). The target 7 | audience for the course is talented young economists from ASE and ENSEA who 8 | want to learn about data science and computer-driven economic modeling. 9 | 10 | The course will provide students with an introduction and exposure to key 11 | tools in quantitative economics that are in high demand in academic economics 12 | and industry. 13 | 14 | The workshop will run **Monday-Friday July 11-15 and Monday-Friday July 18-22**. 15 | 16 | The lead instructor and academic coordinator for the program is [Thomas J. 17 | Sargent](http://www.tomsargent.com/), co-founder of QuantEcon, Professor of 18 | Economics at New York University, and 2011 Nobel Laureate in Economic 19 | Sciences. 20 | 21 | ## How will the Workshops Work? 22 | 23 | Due to the large number of enrolments, lectures will be pre-recorded rather 24 | than live. We will also provide assignments and a discourse forum where you 25 | can ask questions and get answers from instructors and your peers. New videos 26 | and assignments will be distributed through Google Classroom, starting from 27 | July 11th. 28 | 29 | Students will require access to a computer. 30 | 31 | ### Google Classroom 32 | 33 | You will need to sign up to the Google Classroom using [this invitation 34 | link](https://classroom.google.com/c/NDk1NzE1MzU0MDY1?cjc=mwa777q). 35 | This is where we will distribute materials for the workshop. 36 | 37 | ### Google Colab 38 | 39 | We recommend using [Google Colab](https://colab.research.google.com) for 40 | running notebooks that contain lecture material and Python code. We will 41 | provide instructions for using Google Colab, as well as for installing Python 42 | on your own computer (which is optional, not required). 43 | 44 | ### Discourse Forum 45 | 46 | You can now sign up to the [Workshop Discourse 47 | Forum](https://quantecon-workshop.discourse.group/login) We strongly encourage 48 | you to use the forum to ask questions and get answers from instructors and 49 | peers. 50 | 51 | ## Syllabus 52 | 53 | The language of instruction will be English. The programming language used in 54 | the course will be Python. 55 | 56 | The course will cover selected topics from 57 | 58 | * Foundations of programming in Python 59 | * Data engineering with Pandas 60 | * Economic dynamics 61 | * Linear algebra 62 | * Optimization, filtering and dynamic programming 63 | * Search and matching models 64 | * Asset pricing 65 | * Bayesian and frequentist statistics 66 | * Quantitative economic history 67 | * High-performance computing with Python 68 | 69 | Background reading on these topics can be found in the following lecture 70 | series: 71 | 72 | * [Python Programming for Economics and Finance](https://python-programming.quantecon.org/intro.html) 73 | * [Quantitative Economics with Python](https://python.quantecon.org/intro.html) 74 | 75 | 76 | ## Mode of Instruction 77 | 78 | Students will be provided with materials to help them prepare for classes and 79 | solidify understandings of earlier classes. 80 | 81 | Students are encouraged to form study groups to foster working in teams (a 82 | valuable skill in both industry and government and academia). We hope that 83 | study groups can include students with mixtures of skills and mathematical and 84 | statistics backgrounds. 85 | 86 | 87 | ## Learning Outcomes 88 | 89 | Participants will learn how to connect economic modeling problems to numerical 90 | implementations in Python using clear, efficient and effective code. 91 | Participants will be able to apply basic software engineering principles to 92 | organize, share and collaborate on coding problems. 93 | 94 | These skills are in high demand for economists and data scientists at leading 95 | tech companies and universities around the world. 96 | 97 | ## Eligibility 98 | 99 | The course material will be challenging. Ideal candidates will already have 100 | had at least some exposure to probability, linear algebra and principles of economics, 101 | up to the level of a good undergraduate economics or computer science 102 | program. Programming experience will be helpful but is not a prerequisite. 103 | 104 | ## Contact 105 | 106 | Organizers of the program can be reached through `contact@quantecon.org`. 107 | --------------------------------------------------------------------------------