Tech Talks: Algorithm Thinking with Python (KTU 2024 Scheme)

Overview

• Subject Focus: Algorithm Thinking with Python
  • Common subject for all branches under KTU 2024 scheme
• Key Topics to be Covered:
  • Problem-solving techniques
  • Designing and developing algorithms
  • Fundamentals of Python programming
  • Computational approaches to problem-solving

Module 1: Problem Solving Strategies & Python Essentials

Problem Solving Strategies

• Definition: Method of finding solutions to challenges
  • Challenges can be simple or complex
• Process:
  1. Identify the issue
  2. Find possible solutions
  3. Apply the best strategy
  4. Review results

Types of Problem Solving Strategies

1. Trial and Error

   • Try multiple solutions until the problem is resolved
   • Example: Fixing a broken lamp by trying different fixes

2. Heuristics

   • Mental shortcuts or rules of thumb
   • Useful when full information is not available
   • Example: Guess and check method
     • Make an initial guess
     • Check if correct
     • Refine guess based on new information

3. Working Backwards

   • Solve the problem in reverse order
   • Example: Mathematical problems solved by tracing back from desired outcome

4. Means-Ends Analysis

   • Break down the problem into smaller, manageable parts
   • Identify the goal and compare with the current state
   • Apply solutions step by step
   • Example: Graphical transformation from initial to desired state

Next Steps

• Future sessions will cover the problem-solving process in detail
• Stay tuned for more classes on this topic

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Thank you for attending the session.