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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)

  
  

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

  
  

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

  
  

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

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

  
  

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

  
  

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

  
  

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

  
  

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

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

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