Introduction to intelligent systemsPoäng (5 sp)
Kod: INS24IS01
Poäng
5 op
Studieperiodens (kursens) lärandemål
The students will be introduced to intelligent systems in the industrial context. The student will learn what defines an intelligent system and the basic principles of intelligent systems. The student will gain knowledge of the parts that constitute an intelligent system and how they interact.
After completing the course, the student should be able to:
Knowledge and understanding
- explain the basic parts and functionality of an intelligent system
- describe the challenges, risks, and opportunities with intelligent systems
- understand the working principles of intelligent systems
Skills and abilities
- analyze the needs and requirements for an intelligent system
- practice with different methods for realizing intelligent systems
Evaluation ability and approach
- plan the development of an intelligent system
- propose and evaluate solutions for intelligent systems
Studieperiodens (kursens) innehåll
Content
The course gives an overview of intelligent systems in the industrial automation context. The course serves as a common platform of knowledge for the studies in the program. Content:
• Fundamentals of industrial automation systems
• Data-driven and model-based design
• Automated and autonomous decision making
• Digital twins
• Sensors and IoT devices
• Data collection, storage, and flow
• Cyber security
Förkunskapskrav
No prerequisites.
Bedömningskriterier, tillräcklig (1)
Grade 1: Satisfactory skills in understanding and development of intelligent systems.
Bedömningskriterier, goda-synnerligen goda (3-4)
Grade 3: Good skills in understanding and development of intelligent systems.
Bedömningskriterier, berömliga (5)
Grade 5: Excellent skills in understanding and development of intelligent systems.
Läromaterial
The study material will be provided by the lecturer.
Anmälningstid
15.06.2024 - 22.09.2024
Tajmning
25.08.2024 - 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
- Ray Pörn
- Johan Westö
Lärare
Ray Pörn
Grupper
-
IS24H-VIntelligent Systems, 2024, part-time studies
Lärandemål
The students will be introduced to intelligent systems in the industrial context. The student will learn what defines an intelligent system and the basic principles of intelligent systems. The student will gain knowledge of the parts that constitute an intelligent system and how they interact.
After completing the course, the student should be able to:
Knowledge and understanding
- explain the basic parts and functionality of an intelligent system
- describe the challenges, risks, and opportunities with intelligent systems
- understand the working principles of intelligent systems
Skills and abilities
- analyze the needs and requirements for an intelligent system
- practice with different methods for realizing intelligent systems
Evaluation ability and approach
- plan the development of an intelligent system
- propose and evaluate solutions for intelligent systems
Innehåll
Content
The course gives an overview of intelligent systems in the industrial automation context. The course serves as a common platform of knowledge for the studies in the program. Content:
• Fundamentals of industrial automation systems
• Data-driven and model-based design
• Automated and autonomous decision making
• Digital twins
• Sensors and IoT devices
• Data collection, storage, and flow
• Cyber security
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 understanding and development of intelligent systems.
Arviointikriteerit, goda-synnerligen goda (3-4)
Grade 3: Good skills in understanding and development of intelligent systems.
Arviointikriteerit, berömliga (5)
Grade 5: Excellent skills in understanding and development of intelligent systems.
Förkunskapskrav
No prerequisites.