Algorithmic Thinking with Python — Class Recordings & Materials

The KSU Student Assist Cell (SAC) conducted a dedicated two-part online workshop on Algorithmic Thinking with Python to help students master core problem-solving concepts, foundational programming logic, and practical Python implementations.

Both session video recordings and study materials used during the classes are accessible below.

Session 1: Module 1 — Algorithmic Thinking & Python Basics

• Topics Covered:
  • Introduction to algorithmic thinking and computational problem solving
  • Understanding pseudo-code, flowcharts, and control flow
  • Python fundamentals: variables, basic data types, and standard I/O
  • Conditional branching and decision-making logic (if / elif / else)
• Video Recording: Watch Session 1 on YouTube (Module 1)
• Study Materials: Download Module 1 Presentation Slides (PDF)

Session 2: Module 2 — Loops, Functions & Practical Problem Solving

• Topics Covered:
  • Iteration logic with while and for loops
  • Nested loops, range sequences, and pattern printing
  • Modular coding using Python functions, arguments, and return values
  • Fundamental data collections: lists, tuples, and dictionaries
  • Solving KTU-pattern algorithmic problems and debugging strategies
• Video Recording: Watch Session 2 on YouTube (Module 2)
• Study Materials: Download Module 2 Presentation Slides (PDF)