AI SolutionsLaajuus (5 cr)
Code: 5Y00FD89
Credits
5 op
Objectives
The student knows different solutions utilizing artificial intelligence and knows the role of data as part of artificial intelligence applications. The student is able to identify different situations where artificial intelligence can be utilized and what kind of data the solutions require.
Content
Studying and analysis of AI cases. The role of data as part of an artificial intelligence application.
Assessment criteria, satisfactory (1-2)
The student researches and analyzes artificial intelligence solutions and recognizes the role of data as part of AI solutions.
Assessment criteria, good (3-4)
The student is able to study and analyze artificial intelligence solutions from different perspectives and understands the role of data as part of artificial intelligence applications. The student is able to recognize situations where artificial intelligence can be utilized and to understand what kind of data is needed.
Assessment criteria, excellent (5)
The student is able to research and analyze artificial intelligence in many ways and well understands the role of data as part of artificial intelligence applications. The student is able to recognize situations in which artificial intelligence can be utilized and understood well, what kind of data is needed and whether there is enough data available and where more data can be obtained.
Enrolment period
04.05.2024 - 08.09.2024
Timing
26.08.2024 - 22.12.2024
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
- Ossi Nykänen
Person in charge
Ossi Nykänen
Groups
-
24YDT
-
24YDS
-
24YDL
Objectives (course unit)
The student knows different solutions utilizing artificial intelligence and knows the role of data as part of artificial intelligence applications. The student is able to identify different situations where artificial intelligence can be utilized and what kind of data the solutions require.
Content (course unit)
Studying and analysis of AI cases. The role of data as part of an artificial intelligence application.
Assessment criteria, satisfactory (1-2) (course unit)
The student researches and analyzes artificial intelligence solutions and recognizes the role of data as part of AI solutions.
Assessment criteria, good (3-4) (course unit)
The student is able to study and analyze artificial intelligence solutions from different perspectives and understands the role of data as part of artificial intelligence applications. The student is able to recognize situations where artificial intelligence can be utilized and to understand what kind of data is needed.
Assessment criteria, excellent (5) (course unit)
The student is able to research and analyze artificial intelligence in many ways and well understands the role of data as part of artificial intelligence applications. The student is able to recognize situations in which artificial intelligence can be utilized and understood well, what kind of data is needed and whether there is enough data available and where more data can be obtained.
Assessment scale
0-5
Enrolment period
02.07.2022 - 04.09.2022
Timing
01.08.2022 - 31.12.2022
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
- Ossi Nykänen
Person in charge
Ossi Nykänen
Groups
-
22YDT
Objectives (course unit)
The student knows different solutions utilizing artificial intelligence and knows the role of data as part of artificial intelligence applications. The student is able to identify different situations where artificial intelligence can be utilized and what kind of data the solutions require.
Content (course unit)
Studying and analysis of AI cases. The role of data as part of an artificial intelligence application.
Assessment criteria, satisfactory (1-2) (course unit)
The student researches and analyzes artificial intelligence solutions and recognizes the role of data as part of AI solutions.
Assessment criteria, good (3-4) (course unit)
The student is able to study and analyze artificial intelligence solutions from different perspectives and understands the role of data as part of artificial intelligence applications. The student is able to recognize situations where artificial intelligence can be utilized and to understand what kind of data is needed.
Assessment criteria, excellent (5) (course unit)
The student is able to research and analyze artificial intelligence in many ways and well understands the role of data as part of artificial intelligence applications. The student is able to recognize situations in which artificial intelligence can be utilized and understood well, what kind of data is needed and whether there is enough data available and where more data can be obtained.
Assessment scale
0-5