Computer Science
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IB Diploma Programme (DP) - SL & HL の学習者向けの無料Computer Science学習ノート。各章のリンクから、要点・例題・練習問題への導線にアクセスできます。
Core syllabus content (SL/HL core)
Core syllabus content (HL extension)
Resource management
Control
A.1 Computer fundamentals
Computer systems and architecture
Data representation and number systems
Operating systems and system software
Logic gates and boolean logic
Ethical, social and environmental impact of computing
A.2 Networks
Network types and hardware
Protocols and data transmission
Network security and encryption
Cloud and distributed systems
Option (SL/HL core) (HL extension)
Modelling and simulation
Web science
A.3 Databases
Relational database design and modelling
Querying data
Transactions, integrity and normalization
Non-relational and large-scale data storage
A.4 Machine learning
Introduction to machine learning and AI
Data, training and evaluation
Supervised and unsupervised learning
Neural networks and deep learning
Bias, limitations and ethics of machine learning
B.1 Computational thinking
Specifying problems and success criteria
Decomposition and abstraction
Algorithmic thinking and algorithm design
Testing and evaluating solutions
B.2 Programming
Variables, data types and operators
Selection and iteration
Arrays, collections and strings
Methods, parameters and modular code
Searching and sorting algorithms
File handling and input validation
Tracing, debugging and testing code
B.3 Object oriented programming (OOP)
Classes, objects and encapsulation
Inheritance and polymorphism
Designing with UML class diagrams
Applying OOP to a problem (HL depth)
B.4 Abstract data types (HL only)
Stacks and queues
Linked lists
Trees and binary search trees
Graphs and traversals
Recursion and algorithm efficiency
Case study and exam skills
Reading and analysing the case study scenario
Applying theme A concepts to the case study
Paper 1 question skills: computing systems
Paper 2 question skills: problem solving and code
Command terms and structured-response technique
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