C Programming from Scratch to Master
C Programming from Scratch to Master, available at $49.99, has an average rating of 4.65, with 34 lectures, based on 94 reviews, and has 719 subscribers.
You will learn about Basics of C Programming Datatypes and variables Operators and Conditional Statemement Looping Arrays Strings Structure and Pointers Functions Bit Manipulation Recursion Matrix Polynomial Representation This course is ideal for individuals who are Basic C Programming Learners who want to start Data Structures It is particularly useful for Basic C Programming Learners who want to start Data Structures.
Enroll now: C Programming from Scratch to Master
Summary
Title: C Programming from Scratch to Master
Price: $49.99
Average Rating: 4.65
Number of Lectures: 34
Number of Published Lectures: 34
Number of Curriculum Items: 34
Number of Published Curriculum Objects: 34
Original Price: ₹7,900
Quality Status: approved
Status: Live
What You Will Learn
- Basics of C Programming
- Datatypes and variables
- Operators and Conditional Statemement
- Looping
- Arrays
- Strings
- Structure and Pointers
- Functions
- Bit Manipulation
- Recursion
- Matrix
- Polynomial Representation
Who Should Attend
- Basic C Programming Learners who want to start Data Structures
Target Audiences
- Basic C Programming Learners who want to start Data Structures
C programming is a general-purpose, procedural, imperative computer programming language developed in 1972 by Dennis M. Ritchie at the Bell Telephone Laboratories to develop the UNIX operating system. C is the most widely used computer language. It keeps fluctuating at number one scale of popularity along with Java programming language, which is also equally popular and most widely used among modern software programmers.
Course Curriculum
Chapter 1: Basic C Programming
Lecture 1: Introduction to Programming
Lecture 2: Data Types, Variables, Operators
Lecture 3: Expressions, Precedence , Operators
Lecture 4: Conditional Statements , Switch Statements
Lecture 5: Looping
Lecture 6: Digit Manipulation, Nested Loops, Patterns
Lecture 7: Patterns , Number Problems
Lecture 8: Array Basics
Lecture 9: Structure
Lecture 10: Pointers
Lecture 11: Functions
Lecture 12: Function Parameters
Lecture 13: Abstract Data types, Array Operations
Lecture 14: Time Complexity Analysis
Lecture 15: Strings
Chapter 2: Bit Manipulation
Lecture 1: Introduction to Bit Manipulation
Lecture 2: Problems on Bit Manipulation
Chapter 3: Recursion
Lecture 1: Introduction to Recursion
Lecture 2: More about Recursion
Lecture 3: Solving Recurrence Relation I
Lecture 4: Solving Recurrence Relation II
Lecture 5: Solving Recurrence Relation III
Lecture 6: Analysis of Time Complexity
Lecture 7: Indirect Recursion
Lecture 8: Solving Recurrence Relation for Indirect Recursion and Nested Recursion
Lecture 9: Tree Recursion
Lecture 10: Recursion – Sum of Natural Numbers
Lecture 11: Recursion – Factorial of a Number
Lecture 12: Recursion – Exponent/Power Function
Lecture 13: Recursion – Taylor Series
Lecture 14: Recursion – Taylor Series ( Optimization Method 1 )
Lecture 15: Recursion – Taylor Series ( Optimization Method 2 )
Lecture 16: Recursion – Fibinocci Series
Lecture 17: Recursion – Fibinocci Series Optimization
Instructors
-
SACHIN NANDHA SABARISH J
Founder, CEO – LearnLogicify Technologies LLP
Rating Distribution
- 1 stars: 1 votes
- 2 stars: 0 votes
- 3 stars: 7 votes
- 4 stars: 28 votes
- 5 stars: 58 votes
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