人工知能と機械学習 - AI/MLコーディング コンピュータサイエンス
この包括的な 16 週間のコースでは、Code.org の実践的なカリキュラムを通じて、学生に人工知能と機械学習を紹介します。学生は、ML モデルの作成、インタラクティブ アプリの構築、AI の現実世界の探索を学びます。
含まれるもの
16 ライブミーティング
16 授業時間プロジェクト
週1時間. 含まれる修了証書
含まれるこの文章は自動翻訳されています
このクラスで学べること
In this engaging 16-week course, students dive deep into the fascinating world of artificial intelligence and machine learning using Code.org's proven curriculum. The class meets weekly for 55-minute live sessions that combine structured learning with hands-on coding practice. Class Experience: This course is thoughtfully structured to build understanding from the ground up: What Will Be Taught: Fundamentals of artificial intelligence and machine learning How computers learn from data to make decisions Building and training ML models using AI Lab Creating interactive apps with App Lab Understanding AI ethics and real-world applications Weekly Structure: First 15 minutes: Concept introduction and demonstration Middle 30 minutes: Guided hands-on practice with real-time support Final 10 minutes: Share work, troubleshoot, and preview next week's content Teaching Style & Interaction: Interactive instruction with frequent opportunities for questions and discussion Live coding demonstrations where students can follow along Small group activities to explore concepts like data classification and pattern recognition Regular opportunities to share projects and get feedback from peers Individual support during hands-on practice sessions Topics Covered Week by Week: Weeks 1-4: Introduction to App Lab and machine learning foundations Weeks 5-8: Working with data patterns and classification models Weeks 9-12: Building and improving machine learning models Weeks 13-16: Advanced concepts and final project development Student Engagement: Students actively participate through live coding exercises Regular group discussions about AI applications and ethics Interactive problem-solving activities Project sharing and peer feedback sessions Hands-on practice with real-world datasets By the end of this course, students will have created multiple working applications using machine learning, developed a strong understanding of AI concepts, and gained practical experience with industry-standard tools. Note: This course uses Code.org's curriculum and platforms (App Lab and AI Lab) which are free and accessible to all students. No additional software purchases are required.
学習到達目標
Create interactive applications using App Lab's JavaScript environment, incorporating features like buttons, text input, and multiple screensTrain machine learning models using AI Lab to recognize patterns and make data-driven predictions
シラバス
16 レッスン
16 週間以上レッスン 1:
Intro to App Lab
Learn to use App Lab to build apps with buttons, text, images, and sounds.
- Control buttons, text, and images in JavaScript.
- Design interactive screens in App Lab.
- Share your app with friends and family. 60 分のオンラインライブレッスン
レッスン 2:
Introduction to Machine Learning
Discover how machines learn from data using patterns to make decisions.
- Train a robot to detect fish patterns.
- Understand how data helps machines learn.
- Solve problems using machine learning. 60 分のオンラインライブレッスン
レッスン 3:
Types of Machine Learning
Explore different ways machines learn, like supervised and unsupervised learning.
- Simulate machine learning with activities.
- Understand supervised and unsupervised learning.
- Identify types of learning from examples. 60 分のオンラインライブレッスン
レッスン 4:
Innovations in AI
Learn how AI helps solve real-world problems like supporting visually impaired people.
- Explore AI applications like Seeing AI.
- Research real-world AI innovations.
- Share findings on AI's societal impact. 60 分のオンラインライブレッスン
その他の情報
保護者へのお知らせ
This course uses Code.org's curriculum and platform which is designed specifically for students aged 11 and up. While we discuss artificial intelligence and its societal impacts, all content is age-appropriate and focuses on positive applications of technology. In Lesson 15, we will discuss ethical considerations in AI development, including examples of AI bias and fairness issues, which may lead to thoughtful discussions about technology's impact on society.
外部リソース
このクラスでは、Outschool内のクラスルームに加えて、以下を使用します。
使用する教材
Primary Curriculum: Code.org's AI & Machine Learning Course (2024-2025 version)
AI Lab and App Lab - Code.org's educational platforms
Supplemental materials from:
MIT App Inventor's AI curriculum
AI4K12.org guidelines
Common Sense Media's Digital Citizenship resources for AI topics
参加しました December, 2024
教師の専門知識と資格
4 学位
修士号 🏅 Sullivan University から 科学 へ
修士号 🏛️ Sullivan Universityから 経営管理学 へ
学士号 🏫 Kaplan University から 情報技術 へ
準学士号 🏅 Des Moines Area Community Collegeから リベラルアーツとサイエンス へ
I have a double masters in Business and Technology. and a bachelor'sdegree in Information Technology. レビュー
ライブグループコース
$15
毎週または$237 16 クラス分週に1回、 16 週間
60 分
オンラインライブ授業
年齢: 11-16
クラス人数： 2 人-8 人
