Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

After completing the course, a student can select proper modeling approaches for specific practical problems, formulate mathematical models of physical systems, construct models of systems using modeling tools such as MATLAB and Simulink, and estimate the parameters of linear and nonlinear static systems and linear dynamic systems from measurement data.

Credits: 5

Schedule: 07.09.2022 - 05.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Quan Zhou, Kai Zenger

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Basic modeling methods, including first principle modeling and data-driven modeling, for both static and dynamic systems: first principle modeling, black-box modeling, basics of regression methods, parameter estimation for static linear and non-linear systems, parameter estimation for linear time-invariant dynamical systems, model validation, and selected advanced topics.

Assessment Methods and Criteria
  • valid for whole curriculum period:

    The final grade will take into acount both the home assignments and the final exam. The actual distribution to be specified.

Workload
  • valid for whole curriculum period:

    Lectures, exercise sessions, independent study and problem solving, home assignments.

    Contact hours: 24 + 12 h
    Independent study: 99 h

     

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn I - II
    2023-2024 Autumn I - II

  • applies in this implementation

    A more detailed course syllabus is available at https://mycourses.aalto.fi/mod/resource/view.php?id=920734