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Total Size:
35.3 MB
Info Hash:
D43CC0A9D16ACB5959042992DB49C9E62921781E
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Added:
May 19, 2025, 2:55 p.m.
Stats:
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(Last updated: May 19, 2025, 2:55 p.m.)
| File | Size |
|---|---|
| Baumgarten P. Computer Science for the IB Diploma 2025.pdf | 35.3 MB |
Name
DL
Uploader
Size
S/L
Added
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35.3 MB
[95
/
22]
2025-05-19
| Uploaded by andryold1 | Size 35.3 MB | Health [ 95 /22 ] | Added 2025-05-19 |
NOTE
SOURCE: Baumgarten P. Computer Science for the IB Diploma 2025
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COVER
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MEDIAINFO
Textbook in PDF format Developed in cooperation with the International Baccalaureate. Ensure students gain clarity, confidence, and an in-depth understanding to master the updated Computer Science syllabus for both Higher Level (HL) and Standard Level (SL). Closely following the structure of the revised guide, this new resource fully covers the updated assessment format and essential topics, organised by the two key themes, Concepts in Computer Science and Computational Thinking and Problem-Solving. Provide complete coverage of the latest syllabus set for first assessment in 2027 with a student-focused resource written by experienced educators and examiners. Empower students to navigate their coursework with confidence through an engaging, inquiry-based approach that emphasises conceptual understanding. Streamline your lesson planning; the unit and chapter titles match syllabus sections precisely to save you time and enhance learning efficiency. The resource also provides flexibility in choice of programming language (Java and Python) to cater to diverse teaching and learning preferences. Support students' success with essential tools, including clear definitions of key terms, practical 'top tips,' cross-course questions, and highlights of common mistakes to avoid. Build confidence through engaging practical activities, chapter summaries, and targeted review questions that are designed to create a deep understanding of the subject matter. Preface Introduction How to use this book A CONCEPTS OF COMPUTER SCIENCE Computer fundamentals Networks Databases Machine learning B COMPUTATIONAL THINKING AND PROBLEM SOLVING Computational thinking Programming Programming fundamentals (part 1) Programming constructs Programming fundamentals (part 2) Data structures Programming algorithms File processing Object-oriented programming (OOP) Abstract data types (ADTs) CASE STUDY INTERNAL ASSESSMENT Glossary
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