IB Computer Science B. Modelling and Simulation

B.1.1 Definition of Computer Modelling

B.1.2 Variables in Modelling

B.1.3 Limitations of Mathematical Models

B.1.4 Sensible Grouping for Data Items

B.1.5 Designing Test Cases

B.1.6 Effectiveness of Test Cases

B.1.7 Correctness of a Model

B.2.1 Simulations vs. Models

B.2.2 Processing Data with Rules

B.2.3 Rules and Data Representation

B.2.4 Constructing Simple Models

B.2.5 Evaluating Simulation Test Cases

B.2.6 Simulation Requirements

B.2.7 Improving Rules and Formulas

B.2.8 Constructing Complex Simulations

B.2.9 Data Collection Changes

B.2.10 Evaluating Simulation Reliability

B.2.11 Advantages and Disadvantages of Simulation

B.2.12 Ethical and Social Considerations in Predictions

B.3.1 Visualization

B.3.2 Memory Needs of 2D Visualization

B.3.3 Three-Dimensional Visualization

B.3.4 Memory and 3D Visualization

B.3.5 Time and Memory Considerations in 3D Animation

B.4.1 Genetic Algorithms

B.4.2 Structure of Neural Networks

B.4.3 Applications of Neural Network Modelling

B.4.4 Neural Networks for Pattern Recognition

B.4.5 Structures of Natural Language

B.4.6 Human vs. Machine Language

B.4.7 Evolution of Machine Translators

B.4.8 Chatbots and Conversation Simulation

B.4.9 Advances in Natural Language Processing