The model predicted that if B cells were nearly eliminated, there would be little impact on the vaccine response, and experiments showed that prediction was correct. This modeling approach could be ...

It is now practical to write software for real-time systems long before the actual computer hardware is sitting in a physical prototype. In today’s world it is rare to find electromechanical devices ...

This course introduces the basic concepts of functional verification and model checking, highlighting their importance in modern system designs. It explains different modeling formalisms for ...

Quantitative systems pharmacology (QSP) is a field of biomedical research that aims to model the mechanisms behind disease progression and quantify the pharmacokinetics and pharmacodynamics of ...

Complexity in hardware design is spilling over to other disciplines, including software, manufacturing, and new materials, creating issues for how to model more data at multiple abstraction levels.

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

This course covers differential equation derivation to model systems, solving these equations through Laplace transforms to determine transfer functions for simple mechanical, electrical, and ...