25/07/26 Sat 10:36am

Syllabus:

  • Digital twin and its architecture / iot protocols mqtt
  • data acquisition & processing systems
  • mathematical modelling
    • state space
    • basic system design
    • surrogate modelling
  • System identification & parameter estimation
  • Data based Twins
    • ML / DL models
      • Linear / logistic regression
    • Neural Network
    • Random forest / deep trees / k-mean
  • Predictive Maintenance

Assessment Plan:

  1. Surprise Test
  2. Quiz
  3. Surprise Test
  4. Case Study / Presentation