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Opetussuunnitelmat

Kulttuuriala, Muotoilu
Kulttuuriala, Musiikki ja Tanssi
Luonnonvara-ala
Matkailu- ja ravitsemisala
Sosiaali- ja terveysala, Iisalmi
Sosiaali- ja terveysala, Kuopio
Tekniikan ala, Kuopio
Tekniikan ala, Varkaus
Liiketalouden ala, Kuopio
Pelastusopisto
Savonian monialaiset opinnot
Basis of Education Competence Standards Structure of Studies Development of Expertise Methods and implementation Course Table

EF19SP Bachelor Degree Programme in Information Technology (Internet of Things)

Course Description

Code4 EFS8120
NameIndustrial Automation and Networking
Credits5 cr
Credits in Foreign Language5 cr
ObjectivesThe student knows the principles of the automation system in terms of structure and application environments, as well as automation components and bus solutions. Know the functions of control software and how user operations take place and affect the process itself. The student understands the structure and services of the industrial internet.
Student has skills to realise modern robotic system with deep learning ability.
ContentFunctions of the automation system
Structure and programming of a decentralized automation system
Controlling and connecting field devices to the system
Control room and HMI interface
The structure and services of an industrial internet.
Intelligent Robotics
Deep learning structures of automation
RequirementsTheoretical performance of the course is assessed on the basis of part-time tests or exams and practical skills in laboratory exercises and remote exercises.
MethodsThe tutorial includes guided theoretical and design exercises, laboratory exercises, and autonomous homework assignments. Learning emphasizes the student's self-employment in remote assignments. The theoretical amino is indicated by an approved exam.
Grading Scale0 - 5
Course materialMaterial to be announced and distributed during the course of the lesson.
In addition, web-based material can be used.
PrerequisitesDigital Electronics
Link
Other considerations
ContactLepistö Pasi
Heikura Harri

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