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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