Below is a unit-wise summary of all deleted and excluded content from the 9th Class Computer Science & Entrepreneurship textbook (Punjab Board).

Unit 1: Introduction to Systems

• Objectives (Page 3–4)

• Static vs Dynamic Systems (Page 5)

• Activity (Page 6)

• Types of Systems (Page 7–10)

• Design Science of Computer Science (Page 12)

• Computer as System (Page 13–15)

• Computing Systems (Page 18–20)
  Exercise:

• MCQs: Q4, 6, 7, 10

• Short Questions: Q3, 4, 10

• Long Questions: Q2–5, 8

Unit 2: Number System

• Binary Encoding of Integers (Z) and Real Numbers (R)

• Whole Numbers (W) and Integers (Z) – Page 31

• Floating Point Representation – Page 33–36

• Storing Images, Audio, and Video in Computers – Page 43–44
  Exercise:

• MCQs: Q7–10

• Short Questions: Q8–10

Unit 3: Digital Systems and Logic Design

• Application of Digital Logic (Page 62–66)

• Class Activity (Page 66)
  Exercise:

• MCQ: Q4

• Short Question: Q5

• Long Questions: Q3–6, 8, 9

Unit 4: System Troubleshooting

• Troubleshooting Strategies (Page 74)

• Addressing Security Threats (Page 79)

• Using Resources for Troubleshooting (Page 81–82)
  Exercise:

• MCQs: Q6, 9, 10

• Long Questions: Q5, 6, 8, 9

Unit 5: Software System

• Introduction to System Software and Application Software (Page 89–96)
  Exercise:

• MCQs: Q1, 3, 5–7, 9, 10

• Short Questions: Q2–4, 6–8

• Long Questions: Q2–6

Unit 6: Introduction to Computer Networks

• Key Concepts in Network Security (Page 114–116)
  Exercise:

• MCQ: Q6

• Short Questions: Q4, 6, 8–10

• Long Questions: Q3, 5, 8

Unit 7: Computational Thinking

• Class Activity: Algorithm Challenge (Page 128)

• Did You Know? (Page 141)

Unit 8: Web Development (HTML, CSS, JavaScript)

• History of HTML (Page 155)

• Styling Background (Page 163–164)

• Positioning (Page 165–166)

• Adding Animations and Transitions (Page 167–168)

• Data Types (Page 170)

• Handling Events and User Input (Page 172–175)

• Debugging Techniques (Page 175–176)
  Exercise:

• Long Questions: Q7, 8

Unit 9: Data Science and Data Gathering

• Examples of Data (Page 180)

• Qualitative and Quantitative Data Types (Page 181–184)

• Class Activities (Pages 185, 197, 201)

• Data Gathering from Online Sources (Page 188–189)

• Data Storage Techniques (Page 190–191)

• Data Visualization and Analysis (Pages 192–196)

• Collaborative Authoring (Page 198–199)

• Data Science Workflow and Big Data Applications (Pages 200–206)
  Exercise:

• MCQs: Q3–5, 7, 12–14

• Short Questions: Q2, 3, 6–8, 11

• Long Questions: Q3, 5, 7, 8, 10

Unit 10: Emerging Technologies

• Historical Context of Artificial Intelligence (Page 212–213)

• Explainable Whitebox Algorithm (Page 216)

• Implications & Future of Emerging Technologies (Page 220–221)
  Exercise:

• MCQs: Q8–10

• Short Questions: Q2, 7–10

• Long Questions: Q2, 5–9

Unit 11: Ethical, Social & Legal Concerns

• Class Activities (Pages 227, 236)

• Safe Operations of Digital Platforms (Page 228)

• Privacy & Data Security (Page 230)

• Legal & Ethical Framework (Page 230–232)

• Intellectual Property Rights (Page 233)

• Responsible Internet Use (Page 233–235)

• Impact of Computing on Society (Page 236–238)
  Exercise:

• MCQs: Q10, 11, 13–15

• Short Questions: Q2–5, 14, 15, 18–21

• Long Questions: Q3, 4, 6, 8

Unit 12: Entrepreneurship in the Digital Age

• E-Commerce Platform (Page 249–252)

• Ideation and Problem Solving (Page 253)

• Class Activities (Pages 257–258)
  Exercise:

• MCQs: Q4, 5

• Short Question: Q5

• Long Questions: Q3, 5