Here is an overview of the key components of the IB Computer Science SL curriculum:

Core Topics (80 hours)

System Fundamentals

• Components of a Computer System: Understanding hardware, software, and peripheral devices.
• System Design and Analysis: Principles of system design, including requirements gathering and system modeling.
• Human-Computer Interaction: Designing systems that consider user experience and usability.

Computer Organization

• Computer Architecture: Understanding the basic structure and operation of computers, including CPU, memory, and storage.
• Machine Language and Assembly Language: Basics of low-level programming and how high-level code translates to machine instructions.

Networks

• Network Fundamentals: Understanding types of networks, topologies, protocols, and network security.
• Data Transmission: Concepts of data communication, including error detection and correction.

Computational Thinking, Problem-Solving, and Programming

• Programming Concepts: Data types, operators, control structures, and functions/procedures.
• Algorithm Design and Analysis: Techniques for creating efficient algorithms and understanding their complexity.
• Data Structures: Introduction to arrays, lists, stacks, queues, and their applications.

Abstract Data Structures

• Linear and Non-linear Data Structures: Understanding structures like linked lists, trees, and graphs.
• Operations on Data Structures: Implementation and manipulation of various data structures.

Options (Choose One) - (30 hours)

Databases

• Database Fundamentals: Understanding relational databases, SQL, and database management systems.
• Database Design: Designing databases using normalization and ER models.

Modeling and Simulation

• Modeling Concepts: Understanding how real-world systems can be represented and simulated using computer models.
• Simulation Techniques: Applying models to simulate processes and predict outcomes.

Web Science

• Web Technologies: Understanding web development fundamentals, including HTML, CSS, JavaScript, and web security.
• Web Applications: Designing and developing web-based solutions.

Object-Oriented Programming (OOP)

• OOP Concepts: Understanding classes, objects, inheritance, encapsulation, and polymorphism.
• OOP in Practice: Applying OOP principles to solve real-world problems.

Internal Assessment

• Practical Application of Skills (20 hours):
• Internal Assessment Project: A practical project where students develop a computational solution to a problem of their choice. This includes planning, developing, and evaluating the solution. The project allows students to demonstrate their understanding of the curriculum and apply their skills in a practical context.

Additional Elements - (10 hours)

• Computational Thinking Practices:
• Emphasizes problem-solving skills, logical reasoning, and algorithmic thinking throughout the curriculum.
• Ethical and Social Implications:
• Discusses the impact of technology on society and considers ethical issues in computer science.

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