In this workshop, I will share valuable, time-saving resources for teaching Networks and Decision Mathematics in VCE General Mathematics. These resources include a detailed spreadsheet for critical path analysis, a TI program for the Hungarian algorithm, and Python programs for Dijkstra’s algorithm and the Ford-Fulkerson algorithm (maximum flow). Participants are encouraged to bring their TI-Nspire CAS or laptops to store these files and follow along with the demonstrations. Additionally, we will have the opportunity to discuss and share further resources related to General Mathematics and Python programming. This interactive session is designed to equip educators with practical tools, enhance their teaching strategies, and foster a collaborative learning environment. By the end of the workshop, participants will possess a robust set of digital tools and resources to support their teaching of Networks and Decision Mathematics, as well as new ideas generated through peer discussions.

Key takeaways:
1. Acquire practical, time-saving digital tools for teaching Networks and Decision Mathematics.
2. Learn to implement Python and TI-Nspire CAS programs for key algorithms.
3. Engage in collaborative discussions to discover additional resources and enhance teaching strategies.

Remember: Mainly TI calculator with Python module installed or Laptop computer with Visual code or Visual studio that can execute Python codes.