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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

06.06.2024 - 08.09.2024

Timing

02.09.2024 - 15.12.2024

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
  • Juha Ranta-Ojala
Person in charge

Juha Ranta-Ojala

Groups
  • 21I224

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

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