Introduction to AILaajuus (5 cr)
Code: AT00CT08
Credits
5 op
Objective
Student is able to
• descripe what Artificial Intelligence means in practice and what aspects it includes
• descripe what makes Artificial Intelligence a revolutionary technology
• connect Artificial Intelligence in different industries
• relate ethical aspects related to the use of artificial intelligence
• understand the future of Artificial Intelligence
Enrollment
15.05.2023 - 31.07.2024
Timing
01.08.2023 - 31.07.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- Finnish
Degree programmes
- Complementary competence, Bachelor's (in Finnish)
Teachers
- Saku Syngelmä
Groups
-
TLABTO23H
Learning outcomes
Student is able to
• descripe what Artificial Intelligence means in practice and what aspects it includes
• descripe what makes Artificial Intelligence a revolutionary technology
• connect Artificial Intelligence in different industries
• relate ethical aspects related to the use of artificial intelligence
• understand the future of Artificial Intelligence
Implementation and methods of teaching
100% online learning.
Timing and attendance
The course is not tied to time and place. You can proceed according to your own schedule.
Learning material and recommended literature
The course includes all the necessary study material.
Alternative completion methods
No optional methods.
Working life cooperation
Does not include work-life cooperation.
Exam retakes
All the tests in the course can be attempted 5 times
Learning environment
Moodle as a learning environment. Working at your own pace.
Student time use and work load
The use of time and workload corresponds to an online course of five ETCS study credits.
Contents
• What Artificial Intelligence means in practice and what aspects it includes
• What makes Artificial Intelligence a revolutionary technology
• How Artificial Intelligence is utilized in different industries
• Ethical aspects related to the use of artificial intelligence
• The future of Artificial Intelligence
Additional information for students: previous knowledge etc.
No precedence requirements.
Assessment criteria
Assessment is based on the exams included in the course.
Assessment scale
Approved/Failed
Enrollment
15.08.2022 - 30.06.2023
Timing
01.09.2022 - 30.06.2023
Number of ECTS credits allocated
5 op
Virtual portion
5 op
Mode of delivery
Distance learning
Unit
Faculty of Technology (LAB)
Campus
E-campus
Teaching languages
- Finnish
Seats
0 - 5000
Degree programmes
- Complementary competence, Bachelor's (in Finnish)
Teachers
- Neea Similä
- Eija Lantta
- Saku Syngelmä
Groups
-
TLABTO22H
-
LABKES23KH
Learning outcomes
Student is able to
• descripe what Artificial Intelligence means in practice and what aspects it includes
• descripe what makes Artificial Intelligence a revolutionary technology
• connect Artificial Intelligence in different industries
• relate ethical aspects related to the use of artificial intelligence
• understand the future of Artificial Intelligence
Implementation and methods of teaching
100% online learning.
Timing and attendance
The course is not tied to time and place. You can proceed according to your own schedule.
Learning material and recommended literature
The course includes all the necessary study material.
Alternative completion methods
No optional methods.
Working life cooperation
Does not include work-life cooperation.
Exam retakes
Three attempts.
Learning environment
Moodle as a learning environment. Working at your own pace.
Student time use and work load
The use of time and workload corresponds to an online course of five ETCS study credits.
Contents
• What Artificial Intelligence means in practice and what aspects it includes
• What makes Artificial Intelligence a revolutionary technology
• How Artificial Intelligence is utilized in different industries
• Ethical aspects related to the use of artificial intelligence
• The future of Artificial Intelligence
Additional information for students: previous knowledge etc.
No precedence requirements.
Assessment criteria
Assessment is based on the exams included in the course.
Assessment scale
Approved/Failed