Programming Fundamentals Syllabus

Introduction to programming concepts, problem solving, and logic building using a high-level language.

Programming Fundamentals Outline

This outline provides a clear structure of essential programming concepts β€” from logic design to Python implementation.


I. Algorithms, Flowcharts, Pseudocode & Dry Run

  • Algorithm: Step-by-step instructions to solve a problem.
  • Flowchart: Visual representation of logic using symbols.
  • Pseudocode: English-like structure for planning logic.
  • Dry Run: Manually tracing code to verify correctness.

II. Introduction to Python

  • Overview of Python: History, creator, and main features.
  • Why Python? Easy to learn, readable, and portable.
  • Compiler vs Interpreter: Explains how code executes.
  • Python Syntax Basics: Indentation and structure rules.
  • Comments: Writing helpful notes within code.
  • Variables: Dynamic typing and naming rules.
  • Data Types & Type Casting: Converting between int, float, str, etc.
  • Multiple Assignment & Unpacking: Assigning values efficiently.
  • Printing Output: Displaying and formatting information.

III. Conditions in Python

  • Concept of Conditions: Decision-making in programs.
  • Comparison Operators: Compare values in expressions.
  • If Statement: Runs code when condition is true.
  • If-Else Statement: Handles both true and false outcomes.
  • Elif Statement: Checks multiple conditions in order.
  • Arithmetic Operators: Perform mathematical operations.
  • Assignment Operators: Update or modify variable values.
  • Logical Operators: Combine multiple conditions.
  • Best Practices: Keep logic readable and organized.

IV. Loops in Python

  • Concept of Loops: Automating repetition of tasks.
  • For Loop: Iterates over sequences like lists and ranges.
  • While Loop: Runs until a condition becomes false.
  • Break Statement: Exits a loop before completion.
  • Continue Statement: Skips to the next iteration.
  • Else in Loops: Executes when loop ends normally.
  • Infinite Loops: Loops that never end unless stopped.
  • Loop Summary: Comparison between for and while.
  • Key Takeaways: Loops provide control and efficiency.

V. Python Strings

  • Concept of Strings: Text enclosed in quotes.
  • Accessing Characters: Use indexes and slicing.
  • String Operations: Join, repeat, and test membership.
  • String Functions: Use built-in tools for manipulation.
  • String Immutability: Strings cannot be modified directly.
  • Common String Methods: Changing case, splitting, counting, etc.
  • Best Practices: Maintain clarity and consistency in text handling.

End of Outline – Programming Fundamentals builds the logical foundation for advanced programming.