Syllabus

International AI Olympiad (IAIO) 2026 Preparation
Data Preparation	Collaborative Filtering Content-Based Filtering Hybrid Recommender Systems
Supervised Learning	Regression Models Classification Models Regularization & Overfitting
Unsupervised Learning	Clustering Dimensionality Reduction
Reinforcement Learning	Markov Decision Processes (MDPs) Q-Learning
AI Search	Uninformed Search Informed Search
Logical Reasoning	Propositional & First-Order Logic Resolution Theorem Proving
Evaluation of ML Models	Classification Metrics Bias-Variance Tradeoff
Constraint Satisfaction Problems (CSPs)	Backtracking & Constraint Propagation
Kernel Methods	Support Vector Machines (SVM) Kernel Trick
Recommender Systems	Collaborative Filtering Content-Based Filtering Hybrid Recommender Systems

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Bangladesh Artificial Intelligence Olympiad 2025 Preparation (Problem Solving)
Basic Python Programming	Variables & Data Types, Basic Operators, Data Structures, Loops, Functions, etc.
Python library	Numpy, Pandas, matplotlib, etc.
Platform	Notebook (Jupyter, Colab, Kaggle), VS Code
Supervised Learning	Linear Regression, Decision Trees, K-Nearest Neighbors, etc.
Unsupervised Learning	K-Means Clustering, Principal Component Analysis (PCA), t-SNE, MAP, Other Dimensionality Reduction Methods, etc.
Evaluation	Model Evaluation Metrics, Underfitting, Overfitting, Hyperparameter Tuning, Cross-Validation, etc.
Neural Networks & Deep Learning	Computer Vision, NLP (Perceptron Basics, Gradient Descent, Backpropagation, Multi-Layer Perceptrons (MLP), etc.)

Bangladesh Artificial Intelligence Olympiad 2025 Preparation

(Quiz Competition)

Basic AI Knowledge

Python Programming

Basics of Python, Variables and Data Types, Operators and Expressions, Conditional Statements, Loops (for, while), Functions, etc.

Books

ICT Book (Class 8-Class 12)