System dynamics modelling is a computational approach that represents agricultural production systems as networks of interacting components. By conceptualising farms, landscapes and supply chains as ...

Discrete event systems (DES) are dynamic systems in which state changes occur at distinct instants in response to asynchronously generated events. Modelling and control of such systems rely on formal ...

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

Data analysis is enabling teams to make better decisions, and systems engineering is no different. Digital solutions have emerged to help engineers gather and analyze data from modeling, simulation, ...

Biological systems operate across interconnected spatial and temporal scales, from molecular reactions and intracellular ...

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 ...

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.

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 ...

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 ...