Overview Fundamental of Artificial Intelligence (CSC3180)

Lecture Materials Part I: Introduction to AI (L1) What is AI and why study AI? Foundation of AI History of AI Part II: AI Basic Technologies (L2 – L7) Intelligent Agents Uninformed Search Breath-First Search, Uniform Cost Search, Depth-First Search, Depth-Limited Search, Iterative Deepening Search, Iterative lengthening Search Informed Search Best-First Search, Greedy Best-First Search, A* Search, Local Search, Hill-Climbing Search, Local Beam Search Overview

Part II: AI Basic Technologies (L2 – L7)(coun.) Constraint Satisfaction Problems Backtracking Search for CSPs Local Search for CSPs Logical Agent Knowledge-based Agent Logic and Inference in General First-Order Logic Why and What about FOL Syntax and Semantics of FOL FOL Example Part III: Machine Learning (L7-L11) Image/signal Preprocessing Point Operation (Histogram, Linear Stretching, Power Law Function) Neighbourhood Operations (Low-Pass, High-Pass Filter) Overview

Part III: Machine Learning (L7-L11)(coun.) Pattern Recognition Feature Extraction/ Classifier Design Data Mining and Exploration K-Means/ Regression Dimensionality Reduction PCA/LDA/2DPCA Classification KNN/SVM.SRC Part IV: Deep Learning (L12-L13) ANN Hebb Net/ Perceptron Back-Propagation(BP) Deep Learning (DL) CNN CNN Example