1. Overview Fundamental of Artificial Intelligence (CSC3180)

2. 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

3. 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

4. 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