Introduction to the course structure, diagnostic assessment, and goal setting.

Comprehensive coverage of fundamental concepts in computer science, including problem-solving, algorithms, data representation, and abstraction.

Exploration of computational thinking practices, such as decomposition, pattern recognition, abstraction, and algorithm design.

Introduction to programming languages, including block-based and text-based programming environments.

Study of the big ideas in computing, including the internet, data, algorithms, and programming.

Analysis of the societal impacts of computing, including ethical considerations, privacy issues, and cybersecurity.

Exploration of computing innovations, including emerging technologies, artificial intelligence, and machine learning.

Implementation of project-based learning activities to apply computational thinking practices and programming concepts to real-world problems.

Design, implementation, and evaluation of computational solutions using appropriate tools and techniques.

Collaboration and communication skills development through group projects and presentations.