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    1. 课程
    2. [Stabilized Version] IDC4U Interdisciplinary Studies: Artificial Intelligence and Business Innovatio
    3. KnowledgeBook

    KnowledgeBook

    • KnowledgeBook

      KnowledgeBook

      • KnowledgeBook: This foundational segment, curated by teachers, provides students with access to critical theories and concepts essential for understanding AI and business innovation.


      • Welcome


        Hi there, it's Kim, your AI Avatar presenter here to guide you!

         Welcome to KnowledgeBook! In this exciting segment, we dive into essential theories and concepts that will empower you and your classmates to collaborate effectively in the CollaborationBook. Get ready to deepen your understanding and enjoy the journey of discovery. Happy studying!


      • Unit 1 Building a Learning Environment and Community (6 hours)

      •  Lesson 1.1 Building Connections and Community (3 hours) 程序教学


      •  Lesson 1.2 Introduction to KCI(3 hours) 程序教学
      • Unit 2 Business Startups and Innovation Ecosystems (9 hours)


      •  Lesson 2.1 Role of Technology in Modern Startups ( 1 hour) 程序教学
      •  Lesson 2.2 Michael E. Porter's Competitive Strategy ( 3 hours) 程序教学
      •  Lesson 2.3 Design Thinking ( 2 hours) 程序教学
      •  Lesson 2.4 Project Step 1 ( 3 hours) 程序教学
      • Unit 3 Artificial Intelligence and Its Business Applications ( 12 hours)


      •  Lesson 3.1 AI and Its History( 3 hours) 程序教学
      •  Lesson 3.2 Introduction to Algorithms ( 3 hours) 程序教学
      •  Lesson 3.3 Programming Basics and IDES ( 3 hours) 程序教学
      •  Lesson 3.4 project Step 2 ( 3 hours) 程序教学
      • Unit 4 Machine Learning for Business Applications (12 hours)

      •  Lesson 4.1 Understanding Machine Learning (3 hours) 程序教学
      •  Lesson 4.2 Data_Science_Foundations_to_Insights_2026-01-04 (3 hours) 程序教学
      •  Lesson 4.3 Project step 3 (3 hours) 程序教学
      •  Lesson 4.4 Project Step 4 (3 hours) 程序教学
      • Unit 5 Mid-Term preparation, Survey, Testing and Review (6 hours)


      •  Lesson 5.1 Test 1 (3 hours) 程序教学
      •  Lesson 5.2 Evaluation 1: MidTerm exam (3 hours) 程序教学
      • Unit 6 Natural Language Processing (NLP) and Its Business Applications (9 hours)


      •  Lesson 6.1 Understanding Natural Language Processing (NLP) (3 hours 程序教学
      •  Lesson 6.2 Prompt Engineering (3 hours) 程序教学
      •  Lesson 6.3 Project Step 5 Planning for Natural Language Process (3 hours) 程序教学
      • Unit 7 Generative AI Exploration and Business Applications (12 hours)


      •  Lesson 7.1 Introduction to GenAI (3 hours) 程序教学
      •  Lesson 7.2 Business Applications of GenAI (3 hours) 程序教学
      •  Lesson 7.3 Advanced Topics, Ethics GenAI (3 hours) 程序教学
      •  Lesson 7.4: Project Step 6: Create a Promotional Video or Pitch Deck Using Generative AI Tools (3 hours) 程序教学
      • Unit 8 Robotics, IoT, and Their Business Applications (9 hours)


      •  lesson 8.1 Robotics (AI‑Integrated Rob (3 hours) 程序教学
      •  Lesson 8.2 Robotics in Practice -NAO (3 hours) 程序教学
      •  Lesson 8.3 Project step 7 Robotics (3 hours) 程序教学
      • Unit 9 AI's Impact on Society Ethics, Governance, and Implications (9 hours)

      •  Lesson 9.1 Responsible AI Exploring Ethical Challenge (3 hours) 程序教学
      •  Lesson 9.2 The Future of Work How AI is Transforming (3 hours) 程序教学
      •  Lesson 9.3 Project Step 8 (3 hours) 程序教学
      • Unit 10 The Future of AI Emerging (6 hours)

      •  Lesson 10.1 The Future of AI - Horizon (3 hours) 程序教学
      •  Lesson 10.2 The Future of AI - From Trend to Venture (3 hours) 程序教学
      • Unit 11 Final Project AI-Driven Business Innovation Proposal (20 hours)

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