# Final Quiz Instructions (Tentative)
- **Date**: Nov 27 2025
- **Time**: 12:30PM - 3:00PM
- **Position**: LSB G25 (Floor G)

> [!IMPORTANT]
> You are only allow to use PC in the lab.

## **Exam Format:**

The final quiz will consist of a set of given questions, and you will be required to submit your answers in a Jupyter Notebook in-class. Please note that there will be no Kaggle competition component.

logging into Colab is not permitted; all lecture Jupyter notebooks will be avaliable in the Lab PC Jupyter terminal.

## **Question Content:**

The quiz will cover the following topics:

* Data Preprocessing
* Baseline methods
* Matrix Factorization (MF) or SVD models
* Machine Learning and Cross-Validation
* Neural Recommender Systems

> The difficulty level of the questions will be comparable to that of homework assignments.

Example quiz paper: https://colab.research.google.com/drive/1qgvRAQ-ny6rjWhpA2H-8NG-V-lAdYlNN?usp=sharing#scrollTo=ZlNWGOGaijow

## **Rules and Guidelines:**

* You are allowed to use lecture notes, Jupyter notebooks, and online resources ([only whitelist](https://hackmd.io/@cTHE1QvtQuKo2qiAA5u0dA/rJqzNb1Z-x)) to complete the quiz.
* You must work independently and refrain from communicating with others during the quiz.
* The use of AI-powered tools, such as ChatGPT, Claude, Gemini, and similar platforms, is strictly prohibited.
* Additionally, social media platforms like WhatsApp, WeChat, and others are not permitted.

## **Academic Integrity:**

Please acknowledge that violating these rules is equivalent to dishonesty, and please understand that doing so would result in a score of zero on the quiz.