Skip to main content

AI Applications (5 cr)

Code: 5Y00FE88-3003

General information


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

  • Esa Kujansuu
  • Pekka Pöyry

Person in charge

Esa Kujansuu

Groups

  • 22YDT

Objectives (course unit)

The student is able to implement various applications utilizing artificial intelligence and knows how to use data as part of an artificial intelligence application. The student knows different artificial intelligence application techniques and methods and is able to choose the most suitable one for different applications.

Content (course unit)

Designing and implementing an artificial intelligence application using a programming language, processing data as part of an artificial intelligence application, teaching and testing artificial intelligence models, and evaluating results.

Assessment criteria, satisfactory (1-2) (course unit)

The student knows how to implement an artificial intelligence application and knows how to use the data as part of an artificial intelligence application. The student knows some application technology and / or method of artificial intelligence.

Assessment criteria, good (3-4) (course unit)

The student is able to implement various applications utilizing artificial intelligence and knows how to use data as part of an artificial intelligence application. The student is familiar with some artificial intelligence application techniques and methods and can use some of them.

Assessment criteria, excellent (5) (course unit)

The student knows how to implement various applications using artificial intelligence and knows how to use data as part of an artificial intelligence application. The student is versatile in different artificial intelligence application techniques and methods and is able to choose the most suitable one for different applications.

Assessment scale

0-5