Digitalisation TechnologiesLaajuus (5 cr)
Code: 5Y00FD85
Credits
5 op
Objectives
The student knows the most important technologies driving digitalisation: Internet of Things and Things, Communication Technologies, Cyber Security, Software Engineering. The student knows the basic methods of producing digital services and the technological infrastructure that enables digitalization. The student knows the basic principles of artificial intelligence and machine learning.
Content
An overview of technologies behind digitalization. Digitalization and society. Internet of Things. Overview of Communication Technologies. Production of digital services and software engineering. Cyber security. Visions for the future of digitalization.
Assessment criteria, satisfactory (1-2)
The student knows and recognizes the technologies in the course content and their roles in different digital solutions. The student understands the general principles of technologies and their applications in digital solutions.
Assessment criteria, good (3-4)
The student is familiar with the technologies included in the course content and recognizes their importance and roles in the overall architecture of digital services and systems. The student will also be able to present alternative solutions and development areas for existing systems.
Assessment criteria, excellent (5)
The student knows the technologies in the course content. The student is also able to analyze various digital solutions from the point of view of the overall technological architecture and evaluate the suitability of the technologies used in the architecture for the solution. The student is also able to identify digital solutions and alternative implementation methods.
Enrolment period
22.11.2023 - 21.01.2024
Timing
01.01.2024 - 10.05.2024
Credits
5 op
Mode of delivery
Contact teaching
Unit
MD in Data Expertise and Artificial Intelligence
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Master's Degree Programme in Data Expertise and Artificial Intelligence
Teachers
- Tony Torp
Person in charge
Tony Torp
Groups
-
24YDT
-
24YDS
-
24YDL
Objectives (course unit)
The student knows the most important technologies driving digitalisation: Internet of Things and Things, Communication Technologies, Cyber Security, Software Engineering. The student knows the basic methods of producing digital services and the technological infrastructure that enables digitalization. The student knows the basic principles of artificial intelligence and machine learning.
Content (course unit)
An overview of technologies behind digitalization. Digitalization and society. Internet of Things. Overview of Communication Technologies. Production of digital services and software engineering. Cyber security. Visions for the future of digitalization.
Assessment criteria, satisfactory (1-2) (course unit)
The student knows and recognizes the technologies in the course content and their roles in different digital solutions. The student understands the general principles of technologies and their applications in digital solutions.
Assessment criteria, good (3-4) (course unit)
The student is familiar with the technologies included in the course content and recognizes their importance and roles in the overall architecture of digital services and systems. The student will also be able to present alternative solutions and development areas for existing systems.
Assessment criteria, excellent (5) (course unit)
The student knows the technologies in the course content. The student is also able to analyze various digital solutions from the point of view of the overall technological architecture and evaluate the suitability of the technologies used in the architecture for the solution. The student is also able to identify digital solutions and alternative implementation methods.
Assessment scale
0-5
Enrolment period
15.11.2021 - 15.01.2022
Timing
01.01.2022 - 21.05.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
MD in Data Expertise and Artificial Intelligence
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Master's Degree Programme in Data Expertise and Artificial Intelligence
Teachers
- Tony Torp
Person in charge
Tony Torp
Groups
-
22YDT
Objectives (course unit)
The student knows the most important technologies driving digitalisation: Internet of Things and Things, Communication Technologies, Cyber Security, Software Engineering. The student knows the basic methods of producing digital services and the technological infrastructure that enables digitalization. The student knows the basic principles of artificial intelligence and machine learning.
Content (course unit)
An overview of technologies behind digitalization. Digitalization and society. Internet of Things. Overview of Communication Technologies. Production of digital services and software engineering. Cyber security. Visions for the future of digitalization.
Assessment criteria, satisfactory (1-2) (course unit)
The student knows and recognizes the technologies in the course content and their roles in different digital solutions. The student understands the general principles of technologies and their applications in digital solutions.
Assessment criteria, good (3-4) (course unit)
The student is familiar with the technologies included in the course content and recognizes their importance and roles in the overall architecture of digital services and systems. The student will also be able to present alternative solutions and development areas for existing systems.
Assessment criteria, excellent (5) (course unit)
The student knows the technologies in the course content. The student is also able to analyze various digital solutions from the point of view of the overall technological architecture and evaluate the suitability of the technologies used in the architecture for the solution. The student is also able to identify digital solutions and alternative implementation methods.
Assessment scale
0-5