CNRS, GDR MACS and Ecole Centrale Lyon: Data-driven Model Learning of Dynamic Systems

The 5-days Spring School aims at covering the fundamentals of data-driven modeling approaches (ranging from parameter estimation algorithms (PEM and ETFE) and experiment design to model validation) as well as more advanced topics. In this year edition, these advanced topics will pertain to closed-loop identification, to optimal experiment design and to the use of statistical tools (such as the maximum likelihood theory) for learning the dynamics of linear and nonlinear systems. The school consists of a series of lectures and of (computer) exercise sessions.

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digiskills blog

Publish in core platform

No

Author

Link text

Link Type

Same as url

Target audience

  • digital_skills_for_ict_professionals_and_other_digital_experts|digital_skills_for_the_labour_force

Digitale technologie / specialisatie

  • http://data.europa.eu/uxp/3030|http://data.europa.eu/uxp/437655

Niveau digitale skills

  • advanced|digital_expert

Geographic Scope - Country

  • Belgium

Industry - Field of Education and Training

  • Information and Communication Technologies (ICTs) not further defined

Target language

  • English

Type of initiative

National initiative

Target group

  • High Achievers

Typology of training opportunities

Short learning programme

Learning activity

e-learning coursework

Assessment type

  • Online

Training duration

Up to 1 week

Organization

Is this course free

No

Is the certificate/credential free

No

Type of training record

Single offer

Training Start date

Effort

Part time light

Credential offered

Learning activity

Self-paced course

No