Study Guide

Objective

After completing the course the student can:

Describe what technologies and concepts such as Big Data, Internet of Things (IoT), Artificial Intelligence (AI), Virtual Reality(VR) and Augment Reality (AR) are, and how they can help our life and create opportunities for innovations.s
Create an innovation proposal utilizing digital technologies.

Content

Introduction to digitalisation and digital transformation.
IoT, AI, AR, VR, Big Data, Cloud Services and other digital technologies.

Note: there exists the course TT00BG06 Introduction to Digitalisation (5 ECTS). If you have taken that course already you should not participate in this course!

Materials

Material (videos, articles, etc) from the internet, is available via the learning environment.

Teaching methods

Online collaboration in the learning environments and independent self-study and working with assignments.
Tests are used for each studied subject to verify students' learning outcomes.

International connections

The course provides an understanding of digital technologies.
Students work both individually and collaborate virtually in the learning environment.
Students read material and watch videos and then complete automatically assessed assignments for the studied subjects.

Completion alternatives

-

Student workload

Personal work: self-study and assignments: 60 hours
- discussions about selected videos
- exercises about subjects related to digitalisation

Assessment criteria, approved/failed

Approved:
Student has completed all the course assignments
AND achieved at least 50% of the points in the assignments.

Content scheduling

Contents:
- Internet of Things
- Industrial Internet of Things & Industry 4.0
- Cloud Services
- Big Data
- Artificial Intelligence
- Virtual Reality
- Augmented Reality

The course is completed online according to students' own time schedules.

Further information

The open university's (avoin AMK) quota for the course is 100 places.
The CampusOnline's quota for the course is 100 places.

Note: There is a longer similar kind of course: Introduction to Digitalisation 5 cr.
If you have taken that course already, you should not participate in this course!

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

Evaluation is based on:
- Assignments completed: 100 %

Qualifications

-

Objective

After completing the course the student can:

Describe what technologies and concepts such as Big Data, Internet of Things (IoT), Artificial Intelligence (AI), Virtual Reality(VR) and Augment Reality (AR) are, and how they can help our life and create opportunities for innovations.s
Create an innovation proposal utilizing digital technologies.

Content

Introduction to digitalisation and digital transformation.
IoT, AI, AR, VR, Big Data, Cloud Services and other digital technologies.

Note: there exists the course TT00BG06 Introduction to Digitalisation (5 ECTS). If you have taken that course already you should not participate in this course!

Materials

Material (videos, articles, etc) from the internet, available via the learning environment (ITS).
All the assignments are done in the learning environment (ITS).

Teaching methods

Online collaboration in the learning environments and independent self-study and working with assignments.
Tests are used for each studied subject to verify students' learning outcomes.

Exam schedules

-

International connections

The course provides an understanding of digital technologies.
Students work both individually and collaborate virtually in the learning environment.
Students read material and watch videos and then complete automatically assessed assignments for the studied subjects.
Students also create an innovation proposal where digital technology is used.

Completion alternatives

-

Student workload

Personal work: self-study and assignments: 60 hours
- discussions about selected videos
- exercises about subjects related to digitalisation

Assessment criteria, approved/failed

Approved:
Student has completed all the course assignments
AND achieved at least 70% of the points in the assignments.

Content scheduling

Contents:
- Digital Transformation
- Internet of Things
- Industrial Internet of Things & Industry 4.0
- Cloud Services
- Big Data
- Artificial Intelligence
- Virtual Reality
- Augmented Reality
- Future Technologies & What's next

The course is completed online according to students' own time schedule. Maximum duration 6 months.

Further information

Note: There is a longer similar kind of course: Introduction to Digitalisation 5 cr.
If you have taken that course already, you should not participate in this course!

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

Evaluation is based on:
- Assignments completed: 100 %

Qualifications

-

Objective

After completing the course the student can:

Describe what technologies and concepts such as Big Data, Internet of Things (IoT), Artificial Intelligence (AI), Virtual Reality(VR) and Augment Reality (AR) are, and how they can help our life and create opportunities for innovations.s
Create an innovation proposal utilizing digital technologies.

Content

Introduction to digitalisation and digital transformation.
IoT, AI, AR, VR, Big Data, Cloud Services and other digital technologies.

Note: there exists the course TT00BG06 Introduction to Digitalisation (5 ECTS). If you have taken that course already you should not participate in this course!

Materials

Material (videos, articles, etc) from the internet, available via the learning environment (ITS).
All the assignments are done in the learning environment (ITS).

Teaching methods

Online collaboration in the learning environments and independent self-study and working with assignments.
Tests used for each studied sbject to verify student's learning outcomes.

Exam schedules

-

International connections

The course provides an understanding about digital technologies.
Student work both individually and collaborate virtually in the learning environment.
Student read material and watch videos and then complete automatic assessed assignments for the studied subjects.
Student also create an innovation proposal where digital technology is used.

Completion alternatives

-

Student workload

Personal work: self-study and assignments: 60 hours
- discussions about selected videos
- exercises about subjects related to digitalisation
- analysis of an innovation

Assessment criteria, approved/failed

Approved:
Student has completed all the course assignments
AND achieved at least 70% of the points in the assignments.

Content scheduling

Contents:
- Digital Transformation
- Internet of Things
- Industrial Internet of Things & Industry 4.0
- Cloud Services
- Big Data
- Artificial Intelligence
- Virtual Reality
- Augmented Reality
- Future Technologies & What's next

The course is completed online according to student's own time schedule. Maximum duration 6 months.

Further information

Note: There is a longer similar kind of course: Introduction to Digitalisation 5 cr.
If you have taken that course already, you should not participate in this course!

Evaluation scale

Hyväksytty/Hylätty

Assessment methods and criteria

Evaluation is based on:
- Assignments completed: 100 %

Qualifications

-