Dynamical systemsPoäng (5 sp)
Kod: INS24IS02
Poäng
5 op
Studieperiodens (kursens) lärandemål
Understanding of process systems is a central part of industrial automation. Dynamical systems are described through modeling and identification. The course aims at introducing different modeling techniques to the students to achieve a common platform of knowledge. The student will learn how to recognize, analyze, and describe different dynamic systems and to construct models, both model- and data driven ones, of systems and assess their quality and performance.
Knowledge and understanding
After completing the course, the student should be able to:
- recognize and describe common dynamic process systems
- explain the difference between various systems
- describe the practical usage of some process models
Skills and abilities
After completing the course, the student should be able to:
- create and simulate process models
- experiment with different process models
- perform basic identification of processes
Evaluation ability and approach
After completing the course, the student should be able to:
- justify the choice of a process model
- evaluate and report on the choice of a model
Studieperiodens (kursens) innehåll
The contents of the course are concept and principles of dynamic systems, system modeling and simulation, techniques for system identification and optimization.
Förkunskapskrav
No prerequisites.
Bedömningskriterier, tillräcklig (1)
Grade 1: Satisfactory skills in systems thinking, modeling, identification, and optimization.
Bedömningskriterier, goda-synnerligen goda (3-4)
Grade 3: Good skills in systems thinking, modeling, identification, and optimization.
Bedömningskriterier, berömliga (5)
Grade 5: Excellent skills in systems thinking, modeling identification, and optimization.
Läromaterial
The study material will be provided by the lecturer.
Anmälningstid
15.06.2024 - 29.09.2024
Tajmning
22.09.2024 - 31.12.2024
Antal studiepoäng
5 op
Prestationssätt
Kontaktundervisning
Ansvarig enhet
Institutionen för teknik och sjöfart
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Utbildning
- Degree Programme in Intelligent Systems
Lärare
- Joachim Böling
- Ray Pörn
Lärare
Ray Pörn
Grupper
-
IS24H-VIntelligent Systems, 2024, part-time studies
Lärandemål
Understanding of process systems is a central part of industrial automation. Dynamical systems are described through modeling and identification. The course aims at introducing different modeling techniques to the students to achieve a common platform of knowledge. The student will learn how to recognize, analyze, and describe different dynamic systems and to construct models, both model- and data driven ones, of systems and assess their quality and performance.
Knowledge and understanding
After completing the course, the student should be able to:
- recognize and describe common dynamic process systems
- explain the difference between various systems
- describe the practical usage of some process models
Skills and abilities
After completing the course, the student should be able to:
- create and simulate process models
- experiment with different process models
- perform basic identification of processes
Evaluation ability and approach
After completing the course, the student should be able to:
- justify the choice of a process model
- evaluate and report on the choice of a model
Innehåll
The contents of the course are concept and principles of dynamic systems, system modeling and simulation, techniques for system identification and optimization.
Studiematerial och rekommenderad litteratur
The study material will be provided by the lecturer.
Vitsordsskala
H-5
Bedömningskriterier, tillfredsställande-synnerligen tillfredsställande (1-2)
Grade 1: Satisfactory skills in systems thinking, modeling, identification, and optimization.
Arviointikriteerit, goda-synnerligen goda (3-4)
Grade 3: Good skills in systems thinking, modeling, identification, and optimization.
Arviointikriteerit, berömliga (5)
Grade 5: Excellent skills in systems thinking, modeling identification, and optimization.
Förkunskapskrav
No prerequisites.