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Master the Machines: High School Intro to AI Algorithms

Each week, a new topic is introduced, beginning with the fundamentals and progressing to increasingly complex and AI-specific algorithms. The goal is to assist students grasp not only the theory but also how these algorithms function and where they are employed in real-world AI applications.

In this course, you will learn:

Introduction to the course and the significance of algorithms in our daily lives.
Algorithm fundamental concepts include sequence, selection, and iteration.
Simple algorithms and flowcharts are examples.
An overview of data structures such as arrays, lists, trees, and graphs.
A description of the three main sorting algorithms: bubble sort, selection sort, and insertion sort.
Understanding search methods such as linear and binary searches.
The importance of effective searching in AI.
Machine learning basics include supervised, unsupervised, and reinforcement learning.
A primer on fundamental machine learning methods such as Decision Trees, k-Nearest Neighbors, and Linear Regression.
Pathfinding (A* search), Minimax, and Genetic algorithms are examples of AI algorithms.
Discuss how these algorithms influence AI applications in a variety of sectors.