The advancements in the world of STEM, Artificial Intelligence and Data Science are driven by Algorithmic thinking and Computational Mathematics. The Australian and Victorian curriculum and VCE Mathematics study design now lays a greater emphasis on Computational Mathematics, Algorithmic thinking and Pseudo-coding. This session will aim to equip Mathematics teachers with the skills to understand and process Mathematics learning with i. Algorithm Thinking ii. Writing a Pseudocode iii. Implementing the Pseudo-code in Python iii. Running the code (executing the code) as a program Following this session, teachers will be better equipped to teach Computational mathematics as a part mathematics curriculum to students to develop skills for building mathematical models, numerical methods, and algorithms for solving complex problems in science, engineering, business, and other fields using computers so as to perform mathematical computations and simulations to solve problems that would be difficult or impossible to solve using analytical methods alone.