COURSES

Goals

The course objective is to familiarize the student with the field of automated modeling of dynamic systems, including basic concepts and state of the art methods. The competencies of the students successfully completing this course will include the understanding of basic concepts from the field, familiarity with the state-of-the art methods, and capability of independent use of the methods in new practical projects of modeling ecological and environmental systems.

Curriculum

Introduction: Modeling dynamic systems: State-space and input-output models Discrete and continuous-time models Parametric and non-parametric models Qualitative and quantitative models Reasoning with parametric models: Simulation Parameter fitting / identification Structure identification Learning non-parametric discrete time models Learning process-based models: Representation: Entities, Processes, Libraries Learning methods: LAGRAMGE, ProBMoT Applications: Case studies in automated modeling of aquatic ecosystems and epidemiology