Enrolment options

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: 04.09.2024 - 27.11.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Quan Zhou

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

Responsible teacher: Prof. Quan Zhou, quan.zhou@aalto.fi  

Other teachers/assistants: 

• M.Sc. Artur Kopitca, artur.kopitca@aalto.fi 

• Dr. Houari Bettahar, houari.bettahar@aalto.fi 

• Affan UI Ain, affan@aalto.fi 

• Al-Shami Haitham, haitham.al-shami@aalto.fi 

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.

  • applies in this implementation

    Please see the course syllabus: https://mycourses.aalto.fi/mod/resource/view.php?id=1208993

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.

     

DETAILS

Study Material
  • valid for whole curriculum period:

    Handouts/lecture slides, Ljung, Modeling of dynamic systems, 1994, additional book chapters.

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language: English

    Teaching Period: 2024-2025 Autumn I - II
    2025-2026 Autumn I - II

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