This course introduces the fundamental concepts of computational thinking, providing a structured approach to problem-solving and algorithmic reasoning. Designed for individuals with no prior coding experience, it explores key principles such as decomposition, pattern recognition, abstraction, and algorithm design. Through interactive exercises and real-world examples, participants develop critical thinking skills and gain a solid foundation for understanding the logic and processes behind coding. This course prepares students to tackle coding challenges confidently and serves as a crucial prerequisite for further programming courses.

1. Introduction to Computational Thinking

   • What is computational thinking?
   • Importance and applications of computational thinking

2. Problem Solving and Decomposition

   • Analyzing problems and breaking them down into manageable parts
   • Identifying patterns and regularities

3. Abstraction and Modeling

   • Representing complex problems through simplified models
   • Identifying relevant details and ignoring irrelevant information

4. Algorithms and Algorithmic Thinking

   • Understanding algorithms and their role in problem-solving
   • Designing and evaluating algorithms for efficiency and correctness

5. Logical Reasoning and Pattern Recognition

   • Identifying and applying logical reasoning to solve problems
   • Recognizing patterns and applying them to new situations

6. Data Representation and Analysis

   • Understanding different data types and their representation
   • Analyzing and interpreting data for problem-solving

7. Collaboration and Communication

   • Working effectively in teams to solve computational problems
   • Communicating algorithms and solutions clearly and concisely

8. Ethical and Social Implications

   • Discussing ethical considerations related to computational thinking and coding
   • Recognizing the impact of technology on society