Smart Industry (10 cr)

Objective

After the course the student understands the possibilities of industrial internet in different kinds of automation applications.

Content

1. applications of the artificial intelligence
2. applications of the industrial internet
3. cyber security
4. applications of cloud computing in automation
5. English communication in Automation Engineering

Location and time

According to the schedule

Materials

Guidance for the materials is given at the beginning of each section of the course.

Teaching methods

Classroom sessions
Laboratory exercises
Guided exercises
Individual work
Group work

More specific ways of working for each section will be explained in the opening round of each section.

Employer connections

-

Exam schedules

-

International connections

-

Completion alternatives

-

Student workload

Active sessions according to the timetable.
Total workload 270 hours.

Content scheduling

-

Further information

-

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this field.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of electrical engineering and automation technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in electrical engineering and automation technology and the evolvement of their own expertise.

Assessment criteria, approved/failed

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this field.

Assessment methods and criteria

The performance is continuously assessed and different activities will cumulate points from the first week onwards.

Section | Points
AI / IIoT | 45
Cybersecurity | 45
Cloud services | 30
English in automation | 30

Points | Grade
0 | 0
51 | 1
71 | 2
91 | 3
111 | 4
131 | 5

Section based passing criteria may apply

Further information

English communication in Automation Engineering content:
- Introduction to key concepts and terms used in Automation Engineering in texts appearing in the field
- The professional text conventions and text types in Automation Engineering
- Information acquisition, processing, application and dissemination and the reading of scientific information in a foreign language
- Advanced specialization to key concepts and terms used in Automation Engineering in texts appearing in the field
- Self-assessment of language and communication skills, and development of your own learning strategies