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Introduction to Artificial Intelligence
Throughout this course, students will embark on an enriching journey exploring the realms of artificial intelligence (AI) and machine learning (ML) with Python as their guide. Here, they will delve deep into the core concepts of machine learning, unraveling its principles and practical applications. In this course, students will not only grasp the foundational elements of machine learning but also engage in hands-on activities. They will explore various online resources available for training computers, enabling them to perform tasks such as face recognition, object recognition, and gesture recognition. Additionally, students will gain insights into regression analysis, understanding how it enables the prediction of future data patterns. Furthermore, this course extends beyond theoretical knowledge, as students will explore real-life applications of artificial intelligence and machine learning. By tapping into diverse online platforms and repositories, they will uncover how AI and ML are deployed across industries and sectors, gaining a holistic understanding of their significance in today's tech-driven landscape.
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Overview & Highlights

Level
High School
Contact Hours
80
Timeframe
Year
Course Overview
Logic Building
Learn how use logic to make programs and solve complex problems.
Mathematical Concepts
Learn about a key mathematical concept in programming, the coordinate system.
Game Design
Learn the different aspects of game design and make games and animations.
Conditional Statements
Learn about using conditional statements to make decisions in computer programs.
Concept of time
Learn how to use time to control several aspect of your code such as the delays and speed.
Sequence and Loops
Learn how to write smart programs with loops and sequence.

22
Lessons
71
Exercises
21
Quizzes
22
Lesson Plans
Class Management
Manage and observe student work from a user-friendly dashboard with class management features.
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