Class 11

Overview

Builds deeper understanding of computer systems, Python programming, data types, algorithms, and cyber ethics. Emphasizes problem-solving, programming, and ethical computing.

Study Mode:

Online/Offline/Hybrid

Duration:

48 to 72 hours

Curriculum For:

Class 11

Batch Seats:

Limited

topics covered

Unit 1: Computer Systems & Organisation
Computer system: hardware, software, input/output devices
Memory types: primary, cache, secondary memory
Types of software: system software, utility programs, translators (assembler, compiler, interpreter)
Operating system: functions, user interface, process and file management
Boolean logic: AND, OR, NOT, XOR, NAND, NOR; De Morgan’s laws, truth tables, logic circuits
Number systems & conversions: binary, octal, decimal, hexadecimal
Encoding schemes: ASCII, Unicode, ISCII

Unit 2: Computational Thinking & Programming
Problem solving: analyzing problems, designing algorithms, writing pseudocode, creating flowcharts, debugging
Programming languages: Introduction to Python / Java (syntax, keywords, identifiers, variables, data types)
Operators & expressions: arithmetic, relational, logical, assignment
Conditional statements: if, if-else, nested conditionals
Looping constructs: for, while, nested loops, break, continue
Data structures: strings, lists (Python) / arrays (Java), tuples, dictionaries
Module import and library usage (e.g., math, random)
Methods & constructors: defining methods, parameters, return values, constructor overloading
Arrays and strings: one-dimensional arrays, string manipulation, StringBuffer

Unit 3: Advanced Programming Concepts
Objects & classes: modeling entities with data and behavior, class definitions
Primitive types and wrapper classes, type conversions / casting
Statements & scope: block scope, variable visibility
File handling: reading and writing text and binary files
Recursion: concept, examples, implementation
Packages and interfaces: creating and using packages, interaction across classes

Unit 4: Society, Law & Ethics
Cyber safety, cybercrime, malware (viruses, worms, trojans)
Intellectual property: copyright, plagiarism, piracy
Ethical computing practices
E-waste management and disposal
Inclusion: gender, accessibility, and disability issues in technology
Trends in computing: AI, VR/AR, cybersecurity, digital citizenship

Unit 5: Practical / Laboratory Work
Implementing programs in Python / Java from above units
File handling, arrays, strings, and recursion exercises
Mini-projects combining theory and programming skills
Report file preparation and viva voce
Internal assessment and evaluation of practical skills

Learning Outcomes
Understand computer systems, architecture, and operating systems
Apply computational thinking to design algorithms and programs
Develop programming skills in Python / Java and implement OOP concepts
Work with arrays, strings, file I/O, recursion, and library classes
Apply ethical computing practices and understand societal impact
Complete practical exercises and mini-projects integrating multiple skills

Class 11

Overview

topics covered

class 11

introduction to artificial intelligence

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