Applications of AILaajuus (5 cr)
Code: 5G00EV24
Credits
5 op
Objectives
Students are familiar with the latest methods and implementation methods of artificial intelligence. The student is able to do experiments in the case of his / her choice of artificial intelligence. The student knows how to present the method to others.
Content
Getting to know the latest methods and implementations of artificial intelligence. Choice of subject and implementation of experiments. Working Workshop. Presentation of results in seminars.
Assessment criteria, satisfactory (1-2)
The student presents the chosen artificial intelligence topic to others
Assessment criteria, good (3-4)
The student is familiar with the selected artificial intelligence topic and is able to present the chosen topic to others.
Assessment criteria, excellent (5)
The student is thoroughly familiar with the selected artificial intelligence topic and is able to present the features of the chosen topic in a versatile way.
Enrolment period
15.07.2023 - 04.09.2023
Timing
28.08.2023 - 22.12.2023
Credits
5 op
Mode of delivery
Contact teaching
Unit
ICT Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Seats
0 - 70
Degree programmes
- Degree Programme in ICT Engineering
Teachers
- Ossi Nykänen
Person in charge
Ossi Nykänen
Groups
-
20I224
Objectives (course unit)
Students are familiar with the latest methods and implementation methods of artificial intelligence. The student is able to do experiments in the case of his / her choice of artificial intelligence. The student knows how to present the method to others.
Content (course unit)
Getting to know the latest methods and implementations of artificial intelligence. Choice of subject and implementation of experiments. Working Workshop. Presentation of results in seminars.
Assessment criteria, satisfactory (1-2) (course unit)
The student presents the chosen artificial intelligence topic to others
Assessment criteria, good (3-4) (course unit)
The student is familiar with the selected artificial intelligence topic and is able to present the chosen topic to others.
Assessment criteria, excellent (5) (course unit)
The student is thoroughly familiar with the selected artificial intelligence topic and is able to present the features of the chosen topic in a versatile way.
Assessment scale
0-5
Enrolment period
30.07.2022 - 28.08.2022
Timing
29.08.2022 - 23.12.2022
Credits
5 op
Mode of delivery
Contact teaching
Unit
ICT Engineering
Campus
TAMK Main Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in ICT Engineering
Teachers
- Ossi Nykänen
- Pekka Pöyry
Person in charge
Hanna Kinnari-Korpela
Groups
-
19I224
Objectives (course unit)
Students are familiar with the latest methods and implementation methods of artificial intelligence. The student is able to do experiments in the case of his / her choice of artificial intelligence. The student knows how to present the method to others.
Content (course unit)
Getting to know the latest methods and implementations of artificial intelligence. Choice of subject and implementation of experiments. Working Workshop. Presentation of results in seminars.
Assessment criteria, satisfactory (1-2) (course unit)
The student presents the chosen artificial intelligence topic to others
Assessment criteria, good (3-4) (course unit)
The student is familiar with the selected artificial intelligence topic and is able to present the chosen topic to others.
Assessment criteria, excellent (5) (course unit)
The student is thoroughly familiar with the selected artificial intelligence topic and is able to present the features of the chosen topic in a versatile way.
Assessment scale
0-5