Introduction to Programming Fundamentals

Introduction to Programming Fundamentals, available at $44.99, with 77 lectures.

You will learn about Week 1: Introduction to programming concepts, setting up your development environment, and writing your first Python program. Week 2: Control structures, including conditional statements and loops, to help you understand the flow of a program. Week 3: Functions, their definitions, and how to use them to write reusable and organized code. Weeks 4 & 5: Data structures such as lists, tuples, sets, and dictionaries, essential for storing and manipulating data. Week 6: Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism. Week 7: Error handling and debugging techniques to identify and fix issues in your code. Week 8: Working with files to read from and write to external files. Week 9: Basic algorithms for sorting and searching, crucial for efficient problem-solving. Week 10: Final project presentations, course recap, and resources for further learning. This course is ideal for individuals who are Beginner in Programming Fundamentals It is particularly useful for Beginner in Programming Fundamentals.

Enroll now: Introduction to Programming Fundamentals

Summary

Title: Introduction to Programming Fundamentals

Price: $44.99

Number of Lectures: 77

Number of Published Lectures: 77

Number of Curriculum Items: 77

Number of Published Curriculum Objects: 77

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Week 1: Introduction to programming concepts, setting up your development environment, and writing your first Python program.

Week 2: Control structures, including conditional statements and loops, to help you understand the flow of a program.

Week 3: Functions, their definitions, and how to use them to write reusable and organized code.

Weeks 4 & 5: Data structures such as lists, tuples, sets, and dictionaries, essential for storing and manipulating data.

Week 6: Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism.

Week 7: Error handling and debugging techniques to identify and fix issues in your code.

Week 8: Working with files to read from and write to external files.

Week 9: Basic algorithms for sorting and searching, crucial for efficient problem-solving.

Week 10: Final project presentations, course recap, and resources for further learning.

Who Should Attend

Beginner in Programming Fundamentals

Target Audiences

Beginner in Programming Fundamentals

Introduction to Programming

Course Overview:

This course is designed for beginners who have little to no prior programming experience. The objective is to introduce the fundamental concepts of programming, familiarize students with basic syntax and constructs, and build a solid foundation for further learning in computer science.

Course Duration:

10 weeks (2 hours per session, twice a week)

Week 1: Introduction to Programming Concepts

Session 1:

What is Programming?

Definition and history

Real-world applications

Overview of Programming Languages

High-level vs. low-level languages

Compiled vs. interpreted languages

Setting Up the Development Environment

Introduction to IDEs (Integrated Development Environments)

Installing Python (chosen for its simplicity for beginners)

Writing Your First Program: “Hello, World!”

Basic syntax

Running a program

Session 2:

Basic Data Types and Variables

Integers, floats, strings, booleans

Declaring and using variables

Basic Input and Output

Printing to the console

Reading input from the user

Practice Exercises

Week 2: Control Structures

Session 3:

Conditional Statements

If, else if, and else

Nested conditionals

Comparison Operators

Equal to, not equal to, greater than, less than, etc.

Session 4:

Loops

For loops

While loops

Break and continue statements

Practice Exercises

Week 3: Functions

Session 5:

Introduction to Functions

Definition and purpose

Function syntax

Calling functions

Parameters and Return Values

Session 6:

Scope and Lifetime of Variables

Local vs. global variables

Recursion

Practice Exercises

Week 4: Data Structures

Session 7:

Lists

Creating and accessing lists

List methods (append, remove, etc.)

Session 8:

Tuples and Sets

Characteristics and usage

Basic operations

Week 5: Data Structures (Continued)

Session 9:

Dictionaries

Key-value pairs

Accessing, adding, and removing items

Session 10:

Practice Problems involving Lists, Tuples, Sets, and Dictionaries

Mid-Course Project Assignment

Week 6: Object-Oriented Programming (OOP)

Session 11:

Introduction to OOP Concepts

Classes and objects

Attributes and methods

Session 12:

Inheritance and Polymorphism

Encapsulation and Abstraction

Practice Exercises

Week 7: Error Handling and Debugging

Session 13:

Common Types of Errors

Syntax errors, runtime errors, logical errors

Debugging Techniques

Using print statements

Introduction to debugging tools

Session 14:

Exception Handling

Try, except, finally

Raising exceptions

Practice Exercises

Week 8: Working with Files

Session 15:

Reading from and Writing to Files

File handling modes (read, write, append)

Reading lines and entire files

Session 16:

File Handling Best Practices

Practice Exercises

Week 9: Basic Algorithms and Problem-Solving

Session 17:

Introduction to Algorithms

Definition and examples

Importance of algorithms in programming

Basic Sorting Algorithms

Bubble sort, selection sort

Session 18:

Basic Search Algorithms

Linear search, binary search

Practice Exercises

Week 10: Final Project and Review

Session 19:

Review of Key Concepts

Final Project Work Session

Session 20:

Final Project Presentations

Course Recap and Next Steps

Resources for further learning

Introduction to advanced topics (data structures, algorithms, web development, etc.)

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction to Programming Concepts

Lecture 1: Introduction : Programming Concepts

Chapter 3: What is Programming?

Lecture 1: Programming: Definition and History

Lecture 2: Programming: Real-world Applications

Chapter 4: Overview of Programming Languages

Lecture 1: Programming Languages: High-level vs. Low-level Languages

Lecture 2: Programming Languages: Compiled vs. Interpreted Languages

Chapter 5: Setting Up the Development Environment

Lecture 1: Introduction to IDEs (Integrated Development Environments)

Lecture 2: Installing Python (chosen for its simplicity for beginners)

Chapter 6: Writing Your First Program: Hello, World!

Lecture 1: Writing Your First Program: Hello, World!

Lecture 2: Running a Program

Chapter 7: Basic Data Types and Variables

Lecture 1: Integers, floats, strings, booleans

Lecture 2: Basic Data Types and Variables: Declaring and Using Variables

Chapter 8: Basic Input and Output

Lecture 1: Basic Input and Output: Printing to the Console

Lecture 2: Basic Input and Output: Reading Input from the User

Lecture 3: Practice Exercises

Chapter 9: Control Structures

Lecture 1: Introduction : Control Structures

Chapter 10: Conditional Statements

Lecture 1: Conditional Statements: If, else if, and else

Lecture 2: Conditional Statements: Nested Conditionals

Chapter 11: Comparison Operators

Lecture 1: Comparison Operators

Chapter 12: Loops

Lecture 1: Loops: An Introduction

Chapter 13: Loops

Lecture 1: For Loops

Lecture 2: While Loops

Lecture 3: Loops, Break, and Continue Statements

Lecture 4: Loops – Practice Exercises

Chapter 14: Functions

Lecture 1: Introduction : Functions

Lecture 2: Functions: Definition and Purpose

Lecture 3: Functions: Function Syntax

Lecture 4: Functions and Calling Functions

Lecture 5: Parameters and Return Values

Chapter 15: Scope and Lifetime of Variables

Lecture 1: Introduction : Scope and Lifetime of Variables

Lecture 2: Scope and Lifetime of Variables: Local vs. Global Variables

Lecture 3: Recursion

Lecture 4: Practice Exercises for Programming Concepts

Chapter 16: Data Structures

Lecture 1: Introduction : Data Structures

Lecture 2: Lists in Programming

Lecture 3: Lists: Creating and Accessing Lists

Lecture 4: Lists and List Methods

Chapter 17: Tuples and Sets

Lecture 1: Introduction : Tuples and Sets

Lecture 2: Tuples and Sets: Characteristics and Usage

Lecture 3: Tuples and Sets: Basic Operations

Chapter 18: Dictionaries

Lecture 1: Introduction : Dictionaries

Lecture 2: Dictionaries: Key-Value Pairs

Lecture 3: Dictionaries: Accessing, Adding, and Removing Items

Lecture 4: Practice Problems involving Lists, Tuples, Sets, and Dictionaries

Lecture 5: Mid-Course Project Assignment

Chapter 19: Object-Oriented Programming (OOP)

Lecture 1: Introduction : Object-Oriented Programming (OOP)

Lecture 2: Introduction to Object-Oriented Programming (OOP) Concepts

Lecture 3: Introduction to OOP Concepts: Classes and Objects

Lecture 4: Introduction to OOP Concepts: Attributes and Methods

Lecture 5: Inheritance and Polymorphism

Lecture 6: Encapsulation and Abstraction

Lecture 7: Practice Exercises

Chapter 20: Error Handling and Debugging

Lecture 1: Introduction : Error Handling and Debugging

Lecture 2: Common Types of Errors in Programming

Lecture 3: Common Types of Errors in Programming : Syntax Errors, Runtime Errors

Lecture 4: Introduction : Debugging Techniques

Lecture 5: Debugging Techniques: Using Print Statements

Lecture 6: Debugging Techniques: Introduction to Debugging Tools

Chapter 21: Exception Handling

Lecture 1: Introduction : Exception Handling

Lecture 2: Exception Handling: Try, Except, Finally

Lecture 3: Exception Handling and Raising Exceptions

Chapter 22: Working with Files

Lecture 1: Introduction : Working with Files

Lecture 2: Introduction : Reading from and Writing to Files

Lecture 3: Reading from and Writing to Files

Lecture 4: Reading lines and entire files

Lecture 5: File Handling Best Practices

Chapter 23: Basic Algorithms and Problem-Solving

Lecture 1: Introduction : Basic Algorithms and Problem-Solving

Lecture 2: Introduction to Algorithms

Lecture 3: Introduction to Algorithms: Definition and Examples

Lecture 4: Introduction to Algorithms: Importance in Programming

Lecture 5: Introduction : Basic Sorting Algorithms

Lecture 6: Bubble Sort and Selection Sort

Chapter 24: Basic Search Algorithms

Lecture 1: Introduction : Basic Search Algorithms

Lecture 2: Linear Search and Binary Search

Chapter 25: Final Project and Review

Lecture 1: Review of Key Concepts

Instructors

CloudMatrix Learning
Personalized Learning with AI-Driven Education Technology

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 0 votes

4 stars: 0 votes

5 stars: 0 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!