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Dynamic Corporate Transformation

The DCT course

One-semester graduate course · MBA, MSc, PhD, MFE, MQF

Dynamic Corporate Transformation (DCT) develops the enterprise as a dynamic system and enterprise transformation as a mathematical optimization problem. Weeks 1–7 build the framework (Volume I) and culminate in the General Enterprise Optimization Problem; weeks 8–14 solve it (Volume II) across convex, nonlinear, dynamic, stochastic, robust, multi-objective, and AI-assisted formulations, closing with digital twins and integrated case studies.

14weeks
32chapters
32laboratories
2recorded lectures

14-Week Schedule

  1. W1DCT vision; enterprise systems
  2. W2Mathematical foundations; modeling principles
  3. W3Enterprise state; transformation operators
  4. W4Dynamic systems; stochastic dynamics
  5. W5The architectures: state, capital, performance
  6. W6Risk, resilience, robustness; UETA
  7. W7Analysis of UETA; the GEOP; synthesis
  8. W8Enterprise optimization; GEOP revisited
  9. W9Convex; nonlinear
  10. W10Dynamic optimization; optimal control (PMP)
  11. W11The Bellman arc: DP, HJB, stochastic control
  12. W12The robustness pair: NF-REO, DRO
  13. W13Multi-objective; machine learning
  14. W14AI; digital twins; case-study capstone

Full schedule

Everything for the course

Dynamic Corporate Transformation