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Del 1 al 3 de septiembre de 2015, tendrá lugar el Curso Identification of dynamic models with AMIGO. El curso tendrá lugar en el Aula 5 de la Facultad de Matemáticas de la Universidad de Santiago de Compostela (USC), de 9:00 a 14:00.
 

• DESCRIPTION: this course considers the identification of dynamic models described by deterministic differential equations. Emphasis will be made on kinetic models describing (bio) chemical reaction networks.

• PROGRAMA:

• Introduction to reverse engineering of dynamic models
• Perspective from inverse problem theory and statistics
• Perspective from system identification and optimization
• Perspective from chemical reaction network theory
• Perspective from machine learning
• Guidelines for proper indentification of dynamic (kinetic) models
   

• Theoretical background: Introduction to parametric model identification: the model identification loop. AMIGO: General overview; Installation; Data structures; Startup.
• Theoretical background: Simulation and sensitivity analysis; Rank of parameters. AMIGO: Input file for simulation; For a given example: Simulation; Sensitivity analysis; Global / local rank of Parameters with an illustrative example
• Theoretical background: Parameter estimation; Cost function definition and methods. AMIGO: Input file for parameter estimation; For a given example: Solve the parameterestimation problem with different cost functions (LSQ, LLK) and different optimizers (local method, multistart and global method).

• Theoretical background: Identifiability abalysis; FIM based methods; Sampling methods. AMIGO: For a given example: Find confidence intervals local approach, sampling approach.
• Theoretical background: Optimal experimental design. AMIGO: Input file. For a given example: Find experimental conditions to improve identifiability compare results with non-optimal experiments.

• Theoretical background: Dynamic optimization. AMIGO: Input file. Solve an example with CVP, different discretization levels, mesh refining.

• COORDINADOR ACADÉMICO DEL CURSO: José Luis Ferrín González (Profesor Titular, Departamento de Matemática Aplicada, USC, e investigador adscrito a ITMATI).

• HORARIO

• INSCRIPCIONES: Inscripción gratuita. Pueden confirmar su asistencia en el siguiente formulario de inscripción (PINCHE AQUÍ) antes del 28 de agosto.
   

Se entregará un certificado de asistencia para aquellos que lo soliciten.