Skip to main content

Dynamic Systems (3 cr)

Code: TSAM0530-3011

General information


Enrollment
01.11.2024 - 09.01.2025
Registration for the implementation has ended.
Timing
13.01.2025 - 18.05.2025
Implementation is running.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
English
Seats
20 - 35
Degree programmes
Bachelor's Degree Programme in Electrical and Automation Engineering
Teachers
Tomi Nieminen
Groups
TAR23S1
Bachelor's Degree Programme in Automation and Robotics
Course
TSAM0530

Realization has 1 reservations. Total duration of reservations is 0 h 30 min.

Time Topic Location
Thu 16.01.2025 time 16:00 - 16:30
(0 h 30 min)
Dynamic Systems TSAM0530-3011
Starting webinar
Changes to reservations may be possible.

Evaluation scale

0-5

Objective

You master the mathematical modeling and simulation of dynamic systems. You can apply what you have learned, e.g. electrical and control systems and mechatronics.

EUR-ACE KNOWLEDGE AND UNDERSTANDING
You will understand the principles of mathematical modeling related to electrical and automation technology.

EUR-ACE ENGINEERING PRACTICE
You can apply the modeling methods you have learned to solve practical design problems.
Differential equations and their analytical and numerical solution, Modeling and simulation of dynamic systems, Integral transformations and their applications in electrical and control technology

Content

Differential equations and their analytical and numerical solution
Modeling and simulation of dynamic systems
Integral transformations and their applications in electrical and control technology

Assessment criteria, satisfactory (1)

Adequate 1: You are familiar with the concepts and principles, involved in mathematical modeling of dynamic systems, but you have difficulty putting what you have learned into practice.

Satisfactory 2: You master mathematical modeling of dynamic systems satisfactorily. However, there are shortcomings in its application.

Assessment criteria, good (3)

Good 3: You will master the basics of mathematical modeling of dynamic systems and be able to apply what you have learned to the basic applications.

Very good 4: You master the mathematical modeling of dynamic systems with commendability and are able to apply what you have learned to the example applications covered in the course.

Assessment criteria, excellent (5)

Excellent 5: You have excellent control of mathematical modeling of dynamic systems and are able to creatively apply what you have learned to new applications.

Qualifications

Adequate math skills in equations, functions, derivative and integral.

Go back to top of page