Opinto-opas
Opinto-opas
Vuonna 2022 alkavat ja sitä aiemmat koulutukset
Savonian uuden opinto-oppaan (2023 ja tämän jälkeen alkavat koulutukset) löydät täältä.
| 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
| Code | 4 EFS8120 |
| Name | Industrial Automation and Networking |
| Credits | 5 cr |
| Credits in Foreign Language | 5 cr |
| Objectives | The 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. |
| Content | Functions 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 |
| Requirements | Theoretical performance of the course is assessed on the basis of part-time tests or exams and practical skills in laboratory exercises and remote exercises. |
| Grading Scale | 0 - 5 |
| Course material | Material to be announced and distributed during the course of the lesson. In addition, web-based material can be used. |
| Prerequisites | Digital Electronics |
| Other considerations | |
| Contact | Heikura Harri |
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