野生生物 AI 探検家: 保護のためのロボットの構築!
このユニークなコースでは、若いイノベーターが保護活動のためのロボットの設計を学び、野生生物のAIとロボット工学のエキサイティングな世界に飛び込みます。学生は、AIの概念とデザイン思考を適用しながら、最先端のテクノロジーを探求します。
含まれるもの
7 録画レッスン
7 週間
教師のサポート1年間のアクセス
コンテンツにプロジェクト
週あたり 1-2 時間. クラス全体を通して1-2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
英語レベル - 不明
米国の学年 6 - 9
Beginner レベル向け
In this innovative 7-week course, students will explore the exciting intersection of artificial intelligence, robotics, and wildlife conservation. Through a combination of interactive lectures, hands-on activities, and group projects, learners will develop a deep understanding of how technology can be used to protect and study wildlife. The class is structured to provide a balance of theoretical knowledge and practical application. Each week focuses on a specific aspect of Wildlife AI and robotics, building towards a final project where students will design their own wildlife conservation robot concept. My teaching style is engaging and participatory, encouraging students to think critically and creatively. I use a mix of visual presentations, video clips of real-world conservation tech, to keep the class interesting. By the end of this course, you will: -Understand basic principles of robotics and AI -Gain hands-on experience with robotics technology -Learn about wildlife observation and conservation techniques -Develop problem-solving skills by creating tech solutions for real-world issues -Cultivate an appreciation for the intersection of technology and nature
学習到達目標
Explain the basic principles of AI and robotics as applied to wildlife conservation
Apply the design thinking process to develop tech-based solutions for environmental challenges
シラバス
カリキュラム
Teacher-Created カリキュラムに準拠7 レッスン
7 週間以上レッスン 1:
Course Introduction and Overview: Welcome to Wildlife AI Robotics!
This week provides an introduction to the field of engineering, exploring its fundamental principles and methodologies. Students will gain a deep understanding of what engineering entails, including its various disciplines and real-world applications. The class will focus on the Engineering Design Process, teaching students how to approach and solve complex problems systematically. Throughout the course, key engineering concepts will be introduced and examined.
レッスン 2:
Wildlife Observation Techniques
This week introduces students to wildlife observation techniques, blending traditional methods with modern technology. Participants will gain hands-on experience setting up basic observation stations, learning essential skills for field research. The course incorporates an innovative LEGO Mindstorms EV3 challenge, where students will build a simple rotating camera mount, bridging the gap between engineering and wildlife studies.
レッスン 3:
Introduction to AI in Wildlife Conservation
This module explores the cutting-edge intersection of artificial intelligence and wildlife conservation. It begins with a presentation on AI applications in wildlife conservation, highlighting current technologies and future possibilities. Students then engage in a thought-provoking group discussion on the ethical considerations of using AI in nature, encouraging critical thinking about the balance between technological advancement and environmental stewardship.
レッスン 4:
Environmental Monitoring
This hands-on module immerses students in the practical application of environmental monitoring and robotics. The course begins with a field activity where participants collect crucial environmental data, including temperature, humidity, and soil moisture, gaining firsthand experience in scientific data gathering. Building on this, students tackle an exciting robotics challenge to construct and program a mobile environmental sensor using LEGO Mindstorms EV3.
その他の情報
受講に必要なもの
Notebook and pencil for sketching and note-taking Access to a computer or tablet with internet connection (Optional) Basic art supplies for prototype sketching (colored pencils, markers) Your own robotic kit or similar No textbooks required - all necessary materials will be provided digitally
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。
教師の専門知識と資格
I hold a doctoral degree in Applied Sciences and graduate certification Informatics. I have 2 years of experience working on wildlife projects in various ecosystems. Additionally, I've completed certifications in AI and Machine Learning and have been teaching STEM subjects to middle school students for the past 3 years.
レビュー
自分のペースで学べるコース
$13
毎週7 録画済みレッスン
7 間の講師サポート
開始日を選択してください
コンテンツへの 1 年間のアクセス
1 人がクラスを受けました
開始日を選択してください
年齢: 12-18