C Coaching: C Programming Class Practicing Arena

C Coaching: C Programming Class

The C Coaching program is a comprehensive, hands-on coaching course designed to take students from the fundamentals of C programming to advanced concepts using practical labs and guided exercises. This class is structured to help you confidently master problem-solving with C code, whether you’re a beginner or looking to sharpen your skills for academic or professional use.

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Course Structure & Modules:

• Introductory Labs:

  • Lab 1.1: Print Your Biography

  • Lab 1.2: Read and Print Input

  • Lab 1.3: Arithmetic on Two Numbers

  • Lab 1.4: Bitwise Operations

• Fundamentals of Computing:

  • Lab 2.1: True and False

  • Lab 2.2: Salary Calculation

  • Lab 2.3: Even or Odd

  • Lab 2.4: Grade Category

  • Lab 2.5: Employee ID Selector

• Loops and Control Structures:

  • Lab 3.1: Print Name Multiple Times

  • Lab 3.2: Print Numbers 1-10

  • Lab 3.3: Sum and Average of 10 Numbers

  • Lab 3.4: Math Question Loop

  • Lab 3.5: Multiplication Table

  • Lab 3.6: Factorial While Loop

• Functions & Recursion:

  • Lab 4.1: Maximum Function

  • Lab 4.2: Swap Using Function

  • Lab 4.3: Program with Two Files

  • Lab 4.4: Recursive Factorial

• Arrays & Sorting:

  • Lab 5.1: Reverse Array

  • Lab 5.2: Array Sum & Average

  • Lab 5.3: Bubble Sort

  • Lab 5.4: Linear Search

  • Lab 5.5: Binary Search

• Pointers & Addressing:

  • Lab 6.1: Modify Value with Pointer

  • Lab 6.2: Sum & Subtract by Address

  • Lab 6.3: Pointer Array Sum

  • Lab 6.4: Scalar Multiply Arrays

• Data Types & Typedef:

  • Lab 7.1: Unsigned -1 Test

  • Lab 7.2: Data Type Sizes

  • Lab 7.3: Typedef Custom Types

• Structs & Memory Optimization:

  • Lab 8.1: Employee Payment

  • Lab 8.2: Typedef Employee

  • Lab 8.3: Student Grades Lookup

  • Lab 8.4: Struct Memory Optimization

• Advanced C Topics:

  • Lab 9.1: Build Stages

  • Lab 9.2: Header Variables

  • Lab 9.3: Bit Macros

  • Lab 10.1: Dynamic Bubble Sort

  • Lab 10.2: Linked List Menu

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Teaching Approach:

• Practical, lab-driven learning with code writing, debugging, and submissions.

• Step-by-step module progression for solid foundational knowledge.

• Direct instructor guidance and feedback on student exercises and submissions.

• Continuous mentorship for lasting skill retention.

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