Dynaamiset järjestelmät (3 cr)
Code: TSAM0530-3002
General information
- Enrollment
-
01.11.2021 - 09.01.2022
Registration for the implementation has ended.
- Timing
-
01.01.2022 - 15.05.2022
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Technology
- Campus
- Main Campus
- Teaching languages
- Finnish
- Degree programmes
- Bachelor's Degree Programme in Electrical and Automation Engineering
- Teachers
- Tomi Nieminen
- Groups
-
TSA20SABachelor's Degree Programme in Electrical and Automation Engineering
-
TSA20SBBachelor's Degree Programme in Electrical and Automation Engineering
-
TSA20S1Bachelor's Degree Programme in Electrical and Automation Engineering
- Course
- TSAM0530
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
Materials
Glyn, James: Modern engineering mathematics
Teaching methods
Contact study
Virtual study
Student workload
Lectures and exercises 30 h
Independent study 50 h
Total 80 h
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.