AI MethodsLaajuus (5 cr)
Code: 5Y00FD87
Credits
5 op
Objectives
The student knows what artificial intelligence means and what typical problems it solves. The student knows the main concepts and algorithms related to artificial intelligence. Students become familiar with some typical artificial intelligence tools and their use. Different applications of artificial intelligence are covered.
Content
The essence of artificial intelligence and its key concepts. Problems typically solved with artificial intelligence. Different types of artificial intelligence algorithms. Artificial intelligence tools. Artificial Intelligence Applications.
Assessment criteria, satisfactory (1-2)
The student is familiar with artificial intelligence in general. The student is able to utilize some of the advanced artificial intelligence related technologies. The student is able to identify certain application areas that artificial intelligence fits into.
Assessment criteria, good (3-4)
The student is familiar with artificial intelligence and its key concepts. The student is able to utilize some of the technologies related to artificial intelligence. The student is able to identify the possibilities of using artificial intelligence in different application areas.
Assessment criteria, excellent (5)
The student is versatile in artificial intelligence and its key concepts. The student is able to creatively utilize the most advanced artificial intelligence related technologies. The student will be able to evaluate excellently the possibilities of utilizing artificial intelligence in different application areas.
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 what artificial intelligence means and what typical problems it solves. The student knows the main concepts and algorithms related to artificial intelligence. Students become familiar with some typical artificial intelligence tools and their use. Different applications of artificial intelligence are covered.
Content (course unit)
The essence of artificial intelligence and its key concepts. Problems typically solved with artificial intelligence. Different types of artificial intelligence algorithms. Artificial intelligence tools. Artificial Intelligence Applications.
Assessment criteria, satisfactory (1-2) (course unit)
The student is familiar with artificial intelligence in general. The student is able to utilize some of the advanced artificial intelligence related technologies. The student is able to identify certain application areas that artificial intelligence fits into.
Assessment criteria, good (3-4) (course unit)
The student is familiar with artificial intelligence and its key concepts. The student is able to utilize some of the technologies related to artificial intelligence. The student is able to identify the possibilities of using artificial intelligence in different application areas.
Assessment criteria, excellent (5) (course unit)
The student is versatile in artificial intelligence and its key concepts. The student is able to creatively utilize the most advanced artificial intelligence related technologies. The student will be able to evaluate excellently the possibilities of utilizing artificial intelligence in different application areas.
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 what artificial intelligence means and what typical problems it solves. The student knows the main concepts and algorithms related to artificial intelligence. Students become familiar with some typical artificial intelligence tools and their use. Different applications of artificial intelligence are covered.
Content (course unit)
The essence of artificial intelligence and its key concepts. Problems typically solved with artificial intelligence. Different types of artificial intelligence algorithms. Artificial intelligence tools. Artificial Intelligence Applications.
Assessment criteria, satisfactory (1-2) (course unit)
The student is familiar with artificial intelligence in general. The student is able to utilize some of the advanced artificial intelligence related technologies. The student is able to identify certain application areas that artificial intelligence fits into.
Assessment criteria, good (3-4) (course unit)
The student is familiar with artificial intelligence and its key concepts. The student is able to utilize some of the technologies related to artificial intelligence. The student is able to identify the possibilities of using artificial intelligence in different application areas.
Assessment criteria, excellent (5) (course unit)
The student is versatile in artificial intelligence and its key concepts. The student is able to creatively utilize the most advanced artificial intelligence related technologies. The student will be able to evaluate excellently the possibilities of utilizing artificial intelligence in different application areas.
Assessment scale
0-5