Notification

Hi everyone,

This is a Blackboard notification for Big Data course.

You can find the following information here:

1. Assignment Requirements
2. Guidelines for Installing Packages or Software
3. Important Course Notifications
4. Any Other Useful Information

Wishing everyone a successful and smooth learning journey!

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Key Links

1. Shared folder in Dropbox: bigdata_econ_2023
   • If you can't reach the folder, try this link: bigdata_econ_2023 shared folder
2. Github Classroom: econ-innovation-classroom-bigdata
3. Github to submit issue: bigdata_econ

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Assignments

How to Submit Your First Assignment

1. Follow the instructions provided in the file named GitHub Classroom 提交作业 in this repository.
2. You can find the link to submit your assignment is in econ-innovation Github Classroom.

Assignment 1 : R_basic

Dec 1, 2023

1. Related Courses: Lecture 2 for R basic
2. Requirements: Please refer to the detailed requirements in the document Assignment_idaccuracy.md
3. Submission Deadline: December 7, 2023, by 24:00 (midnight).

Assignment 2 : idaccuracy

Dec 4, 2023

1. Related Courses: Lecture 3 for R basic
2. Requirements: Please refer to the detailed requirements in the document Assignment_idaccuracy.md
3. Submission Deadline: December 7, 2023, by 24:00 (midnight).

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Pre-Class Preparations

For Lecture 4 on December 7, 2023

1. Download PyCharm
2. For Windows users, configuring PyCharm to work with the WSL virtual environment. See the instructional video PyCharm - Configure an interpreter using WSL.mp4 on Dropbox.
3. 检查自己是否有python3，在命令行输入python3 --version，如果返回python3的版本号说明已经安装；如果没有，需要安装python3，wsl2使用apt安装，mac使用brew安装