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Module 1: Fundamentals of Computing, Structured Programming Paradigm: Problem Solving
Approach, Algorithms and Flowcharts, Structure of C Program, Pre-Processor Directives Phases
of developing and running computer program in C. Data concepts in C: Tokens, Constants,
variables, expressions, Data types: size and values. Primitive Data Types, Type Modifiers,
Unsigned and Signed data types. Number systems and representations. Constants, Pointers:
Pointer variables. Declaring and dereferencing pointer variables. Input-Output Statements,
Formatted I/O, Operators: Operators and expressions, Types of operators, Precedence,
Associativity Pointer Arithmetic

Fundamentals of Computing:

 Computers store and process numbers, letters and words that are referred to as Data.
 Computers store numbers and perform operations in binary form.
 The binary system is a numeric system that represents numeric values using only two
digits, 0 and 1, which are known as bits.
 All decimal numbers that a user enters in a computer system is carried out in binary
numbers, then operations are performed on it.
 Use of computers to solve problems and process data
 Involves hardware, software, algorithms, and more

Hardware:
- CPU, RAM, Storage, Input/Output Devices
Software:
- System Software (OS, Driver Software, Utility Programs…etc),
- Application Software:
 General-Purpose Applications (MS Office, Browser Software, …etc)
 Special-Purpose Applications (Auto CAD, Tally, ….etc)
 User-Defined Application Software (ERP, …etc)

Structured Programming Paradigm
 Structured programming is a programming paradigm that aims to improve the clarity,
efficiency and maintainability of code by organizing it into well-defined structures.
 It promotes a disciplined approach to programming by emphasizing the use of subroutines,
control structures, and modular design.
 It organizes code in systematic way.




Prepared By Madhavi Karumudi

,Top Down Analysis
 In Top Down Analysis we will Breaks down a problem or task into smaller, manageable
sub programs or modules
 The analysis starts at a high level view and gradually drills down into finer details
 It emphasizes decomposing a problem into smaller parts.
 Each part is addressed individually before integrating them into a complete solution
Advantages:
 Simplifies problem solving by breaking down into manageable units
 Helps in organizing and structured code development
 Code reusability
 Reduces complexity


Modular Programming
 Modular programming is a software development approach that emphasizes breaking a
program into self-contained, reusable modules.
 It promotes code organization, maintainability, and reusability by encapsulating related
functionality within separate modules.
Advantages:
 Code reusability
 Improves maintainability
 Reusability


Structured Code
 Structured code in structured programming refers to well-organized and disciplined code.
 It follows specific rules and principles to improve readability, maintainability, and
efficiency
Advantages:
 Readability and Understandability
 Maintainability and Debugging
 Code Reusability and Modularity
 Scalability and Extensibility

ALGORITHM:
An algorithm is a set of instructions that are followed to solve a problem or perform a task.
Definition: A finite sequence of instructions that are used to solve a specific problem or to perform
a computation.
Algorithm can be represented in many ways few are 1. Pseudo code representation 2. Graphical
representation (Flowchart)

PROPERTIES OF ALGORITHM
1. INPUT: The Algorithm should be given zero or more input.
2. OUTPUT: At least one quantity is produced for each input value.
3. DEFINITENESS: Each instruction is clear and unambiguous.
4. FINITENESS: If we trace out the instructions of an algorithm, then for all cases, the
algorithm terminates after a finite number of steps.


Prepared By Madhavi Karumudi

, 5. EFFECTIVENESS: Every instruction must very basic so that it can be carried out, in
principle, by a person using only pencil & paper.

Types of Algorithm Constructs:
1. Sequence:
Sequence Algorithm Work Flow




Example Algorithm:
Algorithm to calculate area of a circle
Step1 start
Step2 Input radius
Step3 calculate area
area 3.14*radius*radius
Step4 print area
Step5 stop

2. Selection (Decision Making):
Applicable when a problem has more than one outcome. The outcome is based on
the input.

Example: Greatest of two numbers, Check if the number is even or odd




Example: To print greatest of two numbers
Step 1 start
Step 2 input a and b
Step 3 if a is greater than b then
3.1 print a is greatest
else
3.2 print b is greatest
Step 4 stop




Prepared By Madhavi Karumudi

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