Language: English (US)

Master the Basics of Python Programming: From Fundamentals to Real-World Applications

https://www.udemy.com/course/introduction-to-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.)

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