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ba-w2023's Introduction

Business Intelligence Technologies and Applications (Winter 2023)

Teaching Team

About

Welcome to the mono-repo for the Business Intelligence Technologies and Applications (DSME 6756BA/B) course. You may download the Syllabus of this course first. Please refer to this document to join this GitHub repo. If you have any feedback on this course, please submit it via this Survey and we will try our best to address it.

The course will be carried out in person in Wu Ho Man Yuen Building (WMY) 508 (Morning Section) and Yasumoto International Academic Park (YIA) LT6 (Afternoon Section). Please ask for my approval if you need to join us via the following Zoom links:

  • Morning Section (9:30am-12:15pm): Zoom link, Meeting ID 984 6416 2488, Passcode 263862.
  • Afternoon Section (2:30pm-5:15pm): Zoom link, Meeting ID 970 8075 7238, Passcode 930454.

Most of the code in this course will be in the format of Python Jupyter Notebooks. We also set up the Google CoLab environment if you prefer running the code on the cloud instead of locally. Please contact our TA Qinlu if you would like to access the Colab folder of this course.

Course Schedule

The following schedule is tentative and subject to changes.

Session Date Topic Jupyter Notebook Slides Assignment Solution Video Video PW Note
1 12.04 Introduction Python Live Code Intro Python PS1 Link ttHN.MS2 1
2 12.11 Data Handling LinReg Data
3 12.18 Linear Models
4 01.08 BV Trade-off
5 01.15 Trees
6 01.22 Ensemble
7 01.29 Clustering
8 02.06 PCA
9 02.19 Neural Networks
10 02.26 Generative AI
11 03.02 (2:00PM) Final Exam

Projects

We will have two projects in this course. The relevant information can be found in the table below. The schedule is tentative and subject to changes.

Project Due Instruction Link To Enter the Competition
Project 1 02.26 (11:59PM)
Project 2 03.03 (11:59PM)

Final Exam

We will have a final exam at 2:00PM on March 2. The exam will cover the entire course and a reference exam will be provided.

Time Location Format Instruction Sample Exam and Solution Cheat Sheet Real Exam and Solution
2:00pm-5:00pm, Saturday, March 2

Resources

We provide a lot of references for both Python programming and Analytics. For more information, please visit the links below.

If you are unfamilar with GitHub, please read this doc. However, it will suffice to know the very basics of GitHub for the need of this course.

ba-w2023's People

Contributors

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