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src/content/01-topics/01-problem-solving/0-Overview.md

@@ -1,46 +1,43 @@
-# 🧭 Topic: Basics of C++ & Data Types
+# 🧭 Topic: Problem Solving
 
 > [!info] Quick Overview
-> This topic introduces how to compile and run C++ code, basic input/output, variables, built-in data types, and the math library.  
-> By the end, students will be able to write simple C++ programs using variables and standard input/output streams.
-
+> This foundational topic introduces the core skill of programming: problem-solving. It's not about writing code immediately, but about learning how to think logically and systematically. We will explore how to break down complex problems into smaller, manageable steps using a structured approach. By the end of this lecture, students will understand the principles of algorithmic thinking and be able to plan solutions using tools like flowcharts and pseudocode before writing a single line of code.
 ---
 ## 📌 Covered in This Topic
 
-- Introduction to compilation and code editors  
-- `cin` / `cout` basic usage  
-- Variables and naming conventions  
-- Built-in data types (`int`, `float`, `double`, `char`, `bool`)  
-- Type conversion  
-- Using the math library
-
+-  **The Art of Problem Solving:** An introduction to planning, creativity, innovation, and clearly defining the cause, goal, and potential solutions to a problem.
+*   **Stages of Algorithmic Thinking:** A 7-step logical process for solving problems:
+    1.  Define the Problem
+    2.  Analyze and Understand
+    3.  Identify Potential Solutions
+    4.  Evaluate and Choose a Solution
+    5.  Plan Actions
+    6.  Implement the Code
+    7.  Review the Results
+*   **What is an Algorithm?** Defining an algorithm as a step-by-step procedure or a recipe for solving a problem.
+*   **Introduction to Flowcharts:** Learning to visualize the flow of a solution using standard symbols to represent actions, decisions, and data flow.
+*   **Introduction to Pseudocode:** Understanding how to write a plain-language, structured description of an algorithm's steps before translating it into a programming language.
+*   **Choosing the Best Algorithm:** An introduction to the criteria for evaluating different solutions, focusing on time and space efficiency, reliability, and simplicity.
 ---
 ## 📑 Slides & Materials
 
-- 👨‍🏫 [Professor Slides (PDF)](./slides/prof.pdf)  
 - 🧑‍🏫 [TA Workshop Slides (PDF)](./slides/ta.pdf)
 
 ---
 ## 🛠️ Workshop & Assignments
 
 - 💬 [Workshop Questions](./workshops)  
-- 🧮 [Assignments](01-topics/01-problem-solving/1-Workshop.md)  
-- ❓ [Q&A and Common Issues](./resources/qa.md)
+- 🧮 [Assignments](2-Assignment.md)  
+
 
 ---
 ## 🌐 Additional Resources
 
-- [C++ Reference](https://cplusplus.com/reference/)  
-- [Learn C++](https://www.learncpp.com/)  
-- [Data Types in C++ (W3Schools)](https://www.w3schools.com/cpp/cpp_data_types.asp)
-
-_Add more useful links here as the course progresses._
 
 ---
 ## ⏩ Navigation
 
-- ⬅️ [Previous Topic: Problem Solving](../02-problem-solving/topic.md)  
-- ➡️ [Next Topic: Conditions & Loops](../04-conditions-loops/topic.md)
+- ➡️ [Next Topic: Basics of C++ & Data Types](../02-basics-and-data-types/0-Overview.md)
 
 ---