Computer Science

Download CBSE class 11 Computer Science study material in PDF format. MyCBSEguide provides solved papers, board question papers, revision notes and NCERT solutions for CBSE class 11 Computer Science. The topics included are Computer Fundamentals, Programming Methodology, Introduction To Python, Programming with Python, Introduction to C++, Programming in C++. In details the main topics are Classification of computers, Software concepts, Operating System, Open Source Concepts, Application Software, Microprocessor, Memory Concepts, Problem Solving Methodologies, Mutable and Immutable Variables, Functions, Conditional and looping construct, Strings, List operations, Tuple Functions, Operator and Expressions, Conditional statements, String Function, Arrays and Structure.

Unit 1: Computer Fundamentals (18 Theory + 6 Practical) Periods

Classification of computers: Basics of computer and its operation; Functional Components and their interconnections, concept of Booting.

Software concepts: Types of Software – System Software, Utility Software and Application Software

System Software: Operating System, Compiler, Interpreter and Assembler;

Operating System: Need for Operating System, Functions of Operating System (Processor Management, Memory Management, File Management and Device Management), Types of Operating System-Interactive (GUI based), Time Sharing, Real Time and Distributed, Commonly used Operating System: UNIX, LINUX, Windows, Solaris, BOSS (Bharat Operating System Solutions);Mobile OS – Android, Symbian.

Utility Software: Anti Virus, File Management tools, Compression tools and Disk Management tools (Disk Cleanup, Disk Defragmenter, Backup).

Open Source Concepts: Open Source Software, Freeware, Shareware, and Proprietary Software.

Application Software: Office Tools – Word Processor, Presentation Tool, Spreadsheet Package, Database Management System; Domain Specific tools – School Management System, Inventory Management System, Payroll System, Financial Accounting, Hotel Management, Reservation System and Weather Forecasting System.

Number System: Binary, Octal, Decimal, Hexadecimal and conversion between different number systems.

Internal Storage encoding of Characters: ASCII, ISCII (Indian Scripts Standard Code for Information Interchange), and UNICODE (for multilingual computing)

Microprocessor: Basic concepts, Clock speed (MHz, GHz), 16 bit, 32 bit, 64 bit, 128 bit processors; Types – CISC Processors (Complex Instruction Set Computing), RISC Processors (Reduced Instruction Set Computing), and EPIC (Explicitly Parallel Instruction Computing).

Memory Concepts: Units: Byte, Kilo Byte, Mega Byte, Giga Byte, Tera Byte, Peta Byte, Exa Byte, Zetta Byte, Yotta Byte.

Primary Memory: Cache, RAM, ROM

Secondary Memory: Fixed and Removable storage – Hard Disk Drive, CD/DVD Drive, Pen Drive, Blue Ray Disk.

Input Output Ports/ Connections: Serial, Parallel and Universal Serial Bus, PS-2 port, Infrared port, Bluetooth, Firewire.

Unit 2: Programming Methodology (28 Theory + 10 Practical) Periods

General Concepts: Modular Approach, Clarity and Simplicity of Expressions, Use of proper names for Identifiers, Comments, Indentation; Documentation and Program Maintenance; Running and Debugging programs, Syntax Errors, Run-Time Errors, Logical Errors

Problem Solving Methodologies: Understanding of the problem, Solution for the problem, Identifying minimum number of inputs required for output, Writing code to optimizing execution time and memory storage, step by step solution for the problem, breaking down solution into simple steps (modular approach), Identification of arithmetic and logical operations required for solution; Control Structure- Conditional control and looping (finite and infinite).

Problem Solving: Introduction to Algorithms/Flowcharts.

Unit 3: Introduction to Python (44 Theory + 36 Practical) Periods

Getting Started: Introduction to Python - an integrated high level language, interactive mode and script mode. Data types – Number (Integer – boolean, decimal, octal, hexadecimal; Floating point; Complex), none, Sequence (String,Tuples, List ) Sets, Mapping.

Mutable and Immutable Variables

Variables, Expressions and Statements: Values, Variables and Keywords; Operators and Operands in Python: (Arithmetic, Relational and Logical operators), Operator precedence, Expressions and Statements (Assignment statement); Taking input (using raw_input() and input() and displaying output(print statement); (single and multiple line) prints with escape sequence and various formats; Putting Comments.

Functions: Importing Modules (entire module or selected objects), invoking built in functions, functions from math module (for e.g. ceil, floor, fabs, exp, log, log10, pow, sqrt, cos, sin, tan, degrees, radians, factorial,trunc,fmod),functions from random module (uniform, random, randint choice shuffle). Function from datetime module (date, time, datetime, timedate), functions from remodule (compile, match, group, start, end, span, search, findall, finditer), compostion.

Defining functions, invoking functions, arguments and parameters, scope (local and global), passing parameters (default parameter values, keyword arguments), scope of variables, void functions and functions returning values, flow of execution,recursion.

Conditional and looping construct: if else statement while, for (range function), break, continue, else, pass, nested if, nested loops ,use of compound expression in conditional and looping construct.

Unit 4: Programming with Python (50 Theory + 48 Practical) Periods

Strings:Creating, initializing and accessing the elements; String operators: +, *, in, not in, slice [n:m]; Comparing strings using relational operators; String functions & methods: len( ), capitalize ( ), find( ), isalnum( ), isalpha( ), isdigit( ), lower( ), islower( ), isupper( ), upper( ), lstrip( ), rstrip( ), isspace( ), istitle( ), partition( ), replace ( ), join( ), spilt( ), count( ), decode( ), encode ( ), swapcase( ), String( ), constants, Regular Expressions and Pattern Matching.

Lists: Concept of mutable lists, creating, initializing and accessing the elements, traversing, appending, updating and deleting elements, composition, lists as arguments .

List operations: Joining, slicing, +,*, in, not in.

List functions and methods: len( ), insert( ), append( ), extend( ), sort( ), remove( ), reverse( ), pop( ), list( ), count( ), extend( ), index( ), cmp( ), max( ), min( ).

Dictionaries: Concept of key-value pair, creating, initializing and accessing the elements in a dictionary, traversing, appending, updating and deleting elements.

Dicitionary functions and methods: cmp ( ), len( ), clear( ), get( ), has_key( ), items( ), key( ), update( ), values( ), pop( ), fromkeys( ), dict( ).

Tuples: Immutable concept, creating1, initializing and accessing elements in a tuple, Tuple assignment, Tuple slices, Tuple indexing.

Tuple Functions: cmp( ), len( ), max( ), min( ), tuple( ), index( ), count( ), sum( ), any( ), all( ), sorted( ), reversed( ).