1. Data Storage and Security – Employee data management on servers, necessary stored variables, and access control using identification badges.
2. Algorithm Design and Validation – Pseudo-code for sorting items based on address codes, validation checks for structured data, and debugging logical errors.
3. Programming Constructs and Control Structures – Identification of loops, conditionals, and functions in pseudo-code, tracing table execution, and correcting algorithmic errors.
4. Database Management – Purpose of primary keys, foreign key relationships, and designing database structures for efficient query execution.
5. Automation and Computational Thinking – Role of automatic sorting machines, algorithm design for sorting and classification, and optimization for efficiency.
6. Tracking and Data Analytics – GPS tracking for delivery vans, implications of continuous monitoring, and improving algorithm efficiency using preprocessing techniques.