Introduction to Python Programming Course Syllabus

A comprehensive beginner-friendly course that provides practical insights into Python programming, perfect for those starting a career in software development. This course is structured into four core modules followed by a final project, totaling approximately 28 hours of flexible, self-paced learning. Each module combines video lectures, hands-on coding exercises, and quizzes to reinforce understanding and build real-world programming skills.

Module 1: Course Introduction, Intro to Programming and The Python Language, Variables, Conditionals, Jupyter Notebook, and IDLE

Estimated time: 8 hours

• Introduction to programming concepts and the Python language
• Setting up the development environment using Jupyter Notebook and IDLE
• Understanding variables and data types in Python
• Using conditional statements (if, elif, else) to control program flow

Module 2: Loops and Iteration

Estimated time: 6 hours

• Introduction to loops and repetition in Python
• Using 'for' loops to iterate over sequences
• Using 'while' loops for conditional repetition
• Applying loop control statements: 'break' and 'continue'

Module 3: Functions and Modules

Estimated time: 7 hours

• Defining and calling functions in Python
• Understanding variable scope and lifetime
• Organizing code with modules and importing external libraries

Module 4: File Handling and Error Handling

Estimated time: 7 hours

• Reading from and writing to text files
• Handling exceptions using try-except blocks
• Implementing error checking to improve program robustness

Module 5: Final Project

Estimated time: 5 hours

• Design and write a fully-functional Python program applying core concepts
• Incorporate data structures, loops, functions, and file operations
• Demonstrate error handling and code organization best practices

Prerequisites

• No prior programming experience required
• Basic computer literacy
• Access to a computer with internet connection for installing Python tools

What You'll Be Able to Do After

• Identify core aspects of programming and key features of the Python language
• Understand and apply core programming concepts such as variables, conditionals, loops, and data structures
• Use tools like Jupyter Notebook and IDLE to write and run Python code
• Design and write fully-functional Python programs with custom functions and file operations
• Handle errors and exceptions to build robust, reliable programs