Industrial Automation and NetworkingLaajuus (5 cr)
Code: 4_EFS8120
Credits
5 op
Learning 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
Prerequisites
Digital Electronics
Materials
Material to be announced and distributed during the course of the lesson.
In addition, web-based material can be used.
Qualifications
Digital Electronics
Enrollment
01.12.2024 - 15.01.2025
Timing
01.01.2025 - 31.07.2025
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Degree programmes
- Degree Programme in Internet of Things
Teachers
- Atanu Mazumdar
Student groups
-
EF22SPBachelor Degree Programme in Information Technology IOT
Qualifications
Digital Electronics
Materials
Material to be announced and distributed during the course of the lesson.
In addition, web-based material can be used.
Enrollment
01.12.2023 - 15.01.2024
Timing
08.01.2024 - 30.04.2024
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Teachers
- Harri Heikura
Student groups
-
EF21SPBachelor Degree Programme in Information Technology IOT
Teaching methods
As local and online teaching
- execution method practical lessons, project work and exam
- the possibility to complete the entire course with project work
Preparing for the exam with the help of advance assignments
There are 5 questions in the exam (in ZOOM), each one is worth 6 points => a total of 30 points!
- project works gives you 2 x 6 points, which is the pass/performance limit for the course
=> for project work, you get the number one (1) or S - mark as a grade
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
Programmable Logics (PLC)
Logic programming - Siemens Simatic 1200 DIA Portal
The structure and services of an industrial internet.
Deep learning structures of automation, Fuzzy control and Neural networks
The 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 knowlege is indicated by an approved exam.
Student workload
Students total working time 135 hours. Lectures in class and practical laboratory work 56 hours
Practical training and working life cooperation
Local companies
Qualifications
Digital Electronics
Materials
Material to be announced and distributed during the course of the lesson.
In addition, web-based material can be used.
Literature: Industrial automation and networks
Enrollment
01.12.2022 - 15.01.2023
Timing
09.01.2023 - 30.04.2023
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Teachers
- Harri Heikura
Student groups
-
EF20SPBachelor Degree Programme in Information Technology IOT
Teaching methods
As local and online teaching
- execution method practical lessons, project work and exam
- the possibility to complete the entire course with project work
Preparing for the exam with the help of advance assignments
There are 5 questions in the exam (in ZOOM), each one is worth 6 points => a total of 30 points!
- project works gives you 2 x 6 points, which is the pass/performance limit for the course
=> for project work, you get the number one (1) or S - mark as a grade
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
Programmable Logics (PLC)
Logic programming - Siemens Simatic 1200 DIA Portal
The structure and services of an industrial internet.
Deep learning structures of automation, Fuzzy control and Neural networks
The 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 knowlege is indicated by an approved exam.
Student workload
Students total working time 135 hours. Lectures in class and practical laboratory work 56 hours
Practical training and working life cooperation
Local companies
Qualifications
Digital Electronics
Materials
Material to be announced and distributed during the course of the lesson.
In addition, web-based material can be used.
Literature: Industrial automation and networks