/Notification

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!

Key Links

  1. Shared folder in Dropbox: bigdata_econ_2023
    • The materials related to courses are in the shared fodler, including slides, records, data and code.
  2. Github to submit issue: bigdata_econ

For students who have just joined the course

Jan 29 2024

  1. Please check the group information and assignment requirements in this repo. You can find your team leader in WeChat group and reach out to them for any related inquiries.
  2. Please submit your questions related to course material as issues on GitHub. It's preferable to avoid posing questions in the WeChat group. You can find the key link above.
  3. Course Schedule: Ensure you have watched all the course lectures and submit the first five assignments by Feb 14 2024.
  4. Further notice will be provided before the class.

Assignments

How to Submit Your First Assignment

Follow the instructions: GitHub Classroom 提交作业

Assignment 1 : R_basic

Dec 1, 2023

  1. Accept the assignment1 in github classroom : Accept the assignment Rbasics
  2. Related Courses: Lecture 2 for R basic
  3. Requirements: R_basic
  4. Submission Deadline: December 7, 2023, by 24:00 (midnight).
  5. Reference example:

Assignment 2 : idaccuracy

Dec 4, 2023

  1. Accept the assignment2 in github classroom : Accept the assignment idaccuracy
  2. Related Courses: Lecture 3 for R basic
  3. Requirements: Assignment_idaccuracy
  4. Submission Deadline: December 7, 2023, by 24:00 (midnight).
  5. Reference examples:

Assignment 3 : pybasic

Dec 7, 2023

  1. Accept the assignment3 in github classroom : Accept the assignment pybasicy
  2. Related Courses: Lecture 4 for Python basic
  3. Requirements: Assignment3_pybasic
  4. Submission Deadline: December 14, 2023, by 23:59.
  5. Reference examples:

Assignment 4 : idaccuracy2

Dec 11, 2023

  1. Accept the assignment4 in github classroom: Accept the assignment4 idaccuracy2
  2. Related Courses: Lecture 5
  3. Requirements：Assignment4_idaccuracy2
  4. Submission Deadline: December 17, 2023, by 23:59.
  5. Reference example:

Assignment 5 : sql

Dec 14, 2023

  1. Accept the assignment: Accept the assignment5 sql
  2. Related Courses: Lecture 5 sql
  3. Submission Deadline: December 21, 2023, by 23:59.
  4. Reference example:

Assignment 6 : cvand

Dec 15, 2023

  1. Accept the assignment: Accept the assignment6 cvand
  2. Related Courses: Lecture 6
  3. Submission Deadline: December 29, 2023, by 23:59.

Assignment 7 : dashboard

Dec 15, 2023

  1. Accept the assignment: Accept the assignment7 dashboard
  2. Related Courses: Lecture 7
  3. Submission Deadline: December 29, 2023, by 23:59.

Assignment 8 : wosparse

Dec 15, 2023

  1. Accept the assignment: Accept the assignment8 wosparse
  2. Related Courses: Lecture 8
  3. Submission Deadline: December 22, 2023, by 23:59.
  4. Reference examples：

Assignment 9 : regression

Dec 23, 2023

  1. Accept the assignment: Accept the assignment9 regression
  2. Submission Deadline: January 13, 2024, by 23:59.

Assignment 10 : cml

Feb 1, 2024

  1. Accept the assignment: Accept the assignment10 cml
  2. Submission Deadline: January 15, 2024, by 23:59.

Assignment 11 : geo

Apr 7, 2024

  1. Accept the assignment: Accept the assignment11 geo
  2. Submission Deadline: Apr 14, 2024, by 23:59.

Assignment 12 : opp

Apr 8, 2024

  1. Accept the assignment: Accept the assignment12 opp
  2. Submission Deadline: Apr 15, 2024, by 23:59.

Assignment 13 : crawler

Apr 21, 2024

  1. Accept the assignment: Accept the assignment13 crawler
  2. Submission Deadline: Apr 28, 2024, by 23:59.

Assignment 14 : cssci

Apr 21, 2024

  1. Accept the assignment: Accept the assignment14 cssci
  2. Submission Deadline: May 5, 2024, by 23:59.

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

For Lecture 5 on Dec 10, 2023

请分别官方教程安装mysql