人工智慧和機器學習 - AI/ML 編碼計算機科學
這門為期 16 週的綜合課程透過 Code.org 的實作課程向學生介紹人工智慧和機器學習。學生將學習創建機器學習模型、建立互動式應用程式並探索人工智慧的現實世界。
包含什麼
16 現場會議
16 上課時間項目
每週 1 小時. 包括完成證書
包括我們無法翻譯此文，請刷新頁面並再試一次。
課堂經歷
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.
學習目標
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
教學大綱
16 課程
超過 16 週課 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 分鐘線上直播課
課 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 分鐘線上直播課
課 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 分鐘線上直播課
課 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 分鐘線上直播課
其他詳情
父母的引導和規範
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.
外部資源
除了 Outschool 教室外，本課程也使用：
來源
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
已加入 December, 2024
教師專業知識和證書
4 個學位
碩士 在 科學 從 🏅 Sullivan University
碩士 在 工商管理 從 🏛️ Sullivan University
學士學位 在 資訊科技 從 🏫 Kaplan University
副學士學位 在 文理科 從 🏅 Des Moines Area Community College
I have a double masters in Business and Technology. and a bachelor'sdegree in Information Technology. 評論
現場團體課程
US$15
每週或US$237 用於 16 課程每週1次，共 16 週
60 分鐘
即時視訊會議
年齡: 11-16
2-8 每班學員人數
