Intelligent systems (5 sp)
Kod: AT22IS05-3001
Förverkligandets information
Anmälningstid
01.12.2022 - 16.02.2023
Tajmning
13.02.2023 - 01.06.2023
Antal studiepoäng
5 op
Prestationssätt
Kontaktundervisning
Ansvarig enhet
Institutionen för teknik och sjöfart
Verksamhetspunkt
Vasa, Wolffskavägen 33
Undervisningsspråk
- Englanti
Utbildning
- Automation Technology
Lärare
- Ray Pörn
- Kaj Wikman
Lärare
Ray Pörn
Grupper
-
AT22HP-VAutomation Technology, 2022, part-time studies
Lärandemål
The course focuses on modern intelligent systems in process automation and control. The goal is to give insights and understanding of the design and usage of intelligent systems in automation.
Knowledge and understanding
After completing the course, the student should be able to:
- explain the basic steps and functionality of intelligent systems for automation
- describe the challenges and opportunities with intelligent systems
Skills and abilities
After completing the course, the student should be able to:
- analyze the needs and requirements for an intelligent system
- practice with different methods for realizing intelligent systems
Evaluation ability and approach
After completing the course, the student should be able to:
- plan the development of an intelligent system
- propose and evaluate solutions for intelligent systems
Innehåll
The course focuses on different ways of designing and implementing intelligent systems in a process and automation context. Important steps of an intelligent system are data collection, preparation, visualization (monitoring) and the final step of automated decision making. Examples of automated decision making are detection of missing data, identification of faults and malfunctions, classification tasks, process optimization and system control. The content could explicitly include data-driven and model-driven fault detection, principles of interface design, digitalization and cyber security issues and aspects concerning IoT solutions.
Vitsordsskala
H-5
Bedömningskriterier, tillfredsställande-synnerligen tillfredsställande (1-2)
Satisfactory skills in understanding and development of intelligent systems
Arviointikriteerit, goda-synnerligen goda (3-4)
Good skills in understanding and development of intelligent systems.
Arviointikriteerit, berömliga (5)
Excellent skills in understanding and development of intelligent systems.
Förkunskapskrav
No prerequisites