Class 10 Computer Science

How an operating system is built, covering the kernel, shell, layered design, process lifecycle, RAM versus virtual memory, system calls, and FCFS scheduling.

Covers Task Manager, Resource Monitor, Event Viewer, System Restore, building a bootable recovery USB, preventive maintenance, Disk Cleanup, and recovering lost data.

Core data types, arithmetic operators, input/output functions, comparison and logical operators, along with sample Python programs.

Decision-making statements, while and for loops, Python lists, useful Python libraries, and techniques for testing and debugging code.

The Data Science Life Cycle (DSLC), how Bar, Pie, and Line charts compare, the difference between DBMS and SQL, and writing SQL queries.

Supervised versus unsupervised learning, the confusion matrix, calculating accuracy, and how ML is applied in the real world.

Why data matters in AI, real-world AI applications such as NLP, Robotics, and Speech Technology, and the ethical questions AI raises.

Building problem-solving and adaptability skills, following ethical business practices, and using CRM tools, loyalty programs, and marketing automation.