Final Exam Information (Introduction to Artificial Intelligence)

Final Exam - Week 17

Final exam will be conducted into two stages. First stage is conventional exam by using LMS (multiple choice) with 20 questions starting at 7:30 AM. The students should finish all the questions within 30 minutes. The topic includes agent and its environment, local search (hill climbing, SA), global search (Genetic Algorithm), Adversarial Search, Logical programming, Probabilistic reasoning (Bayesian Network), Machine Learning (Decision tree, logistic regression, clustering), Artificial Neural Networks, Basic CV and NLP, and Ethic and Bias in AI.

The students who cannot attend the exam in the class will get zero score which account for 15% of total score.

Having the conventional exam, the second stage is presenting the solution of the proposed problem through AI methods. This will results in 50% of total score for this course. Each group only have 10 minutes to explain the solution/demo. Prior attenting the presentation session, the student must submit the markdown as a final report. The minimal suggested format:

# Title
Include your names

## Abstract

## Methods

explain the method used in your project along with the relevant mathematical equation

## Implementation

Shows your code step by step like writing a tutorial, but formal

## Demo

Can be screenshot or gif animation (suggested)

## Summary

## References

Please submit the markdown file along with the associated media (like images, etc) before 15 December. Late submission will not be graded. Please submit the markdown file below:

Gdrive Upload Class B

Class B Presentation Schedule

17 December 2025

Important: Students who arrive late or miss their scheduled time will not be allowed to participate in the final exam. If you have a serious scheduling conflict, you must inform the lecturer before the presentation day so an alternative can be arranged. Late communication cannot be accommodated!