Artificial intelligence and machine learningLaajuus (5 cr)
Code: RO00EH15
Credits
5 op
Objective
You understand the principles of artificial intelligence
You are familiar with industry-specific methods of artificial intelligence and machine learning
You understand the limitations and possibilities of artificial intelligence
You understand the ethical aspects of using artificial intelligence
Content
What is artificial intelligence?
How can artificial intelligence be applied in the implementation of intelligent machines?
What should be taken into account when applying artificial intelligence?
Enrollment
08.04.2024 - 21.04.2024
Timing
02.09.2024 - 20.12.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Construction and Energy Engineering
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
15 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Henry Lähteenmäki
Teacher in charge
Teemu Jokela
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You understand the principles of artificial intelligence
You are familiar with industry-specific methods of artificial intelligence and machine learning
You understand the limitations and possibilities of artificial intelligence
You understand the ethical aspects of using artificial intelligence
Content
What is artificial intelligence?
How can artificial intelligence be applied in the implementation of intelligent machines?
What should be taken into account when applying artificial intelligence?
Opiskelumateriaali
The study material is covered in the introductory lecture of the course.
Yksilölliset oppimisväylät
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
TKI ja työelämäyhteistyö
During the course, representatives of working life could visit to give lectures.
Excursions are organized during the course if possible.
Tentit ja muut määräajat
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Opiskelijan työmäärä
The average student workload is 135 hours.
50-60 hours of contact teaching.
20-40 hours of independent study of literature.
20-40 hours for assignments and group assignments.
10-20 hours preparing for the exam.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Construction and Energy Engineering
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Joel Paananen
Teacher in charge
Joel Paananen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You understand the principles of artificial intelligence
You are familiar with industry-specific methods of artificial intelligence and machine learning
You understand the limitations and possibilities of artificial intelligence
You understand the ethical aspects of using artificial intelligence
Content
What is artificial intelligence?
How can artificial intelligence be applied in the implementation of intelligent machines?
What should be taken into account when applying artificial intelligence?
Opiskelumateriaali
The study material is covered in the introductory lecture of the course.
Yksilölliset oppimisväylät
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
TKI ja työelämäyhteistyö
During the course, representatives of working life could visit to give lectures.
Excursions are organized during the course if possible.
Tentit ja muut määräajat
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Opiskelijan työmäärä
The average student workload is 135 hours.
50-60 hours of contact teaching.
20-40 hours of independent study of literature.
20-40 hours for assignments and group assignments.
10-20 hours preparing for the exam.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.
Enrollment
06.04.2022 - 22.04.2022
Timing
29.08.2022 - 20.12.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Department of Construction and Energy Engineering
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Joel Paananen
Teacher in charge
Joel Paananen
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You understand the principles of artificial intelligence
You are familiar with industry-specific methods of artificial intelligence and machine learning
You understand the limitations and possibilities of artificial intelligence
You understand the ethical aspects of using artificial intelligence
Content
What is artificial intelligence?
How can artificial intelligence be applied in the implementation of intelligent machines?
What should be taken into account when applying artificial intelligence?
Opiskelumateriaali
The study material is covered in the introductory lecture of the course.
Yksilölliset oppimisväylät
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
TKI ja työelämäyhteistyö
During the course, representatives of working life could visit to give lectures.
Excursions are organized during the course if possible.
Tentit ja muut määräajat
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Opiskelijan työmäärä
The average student workload is 135 hours.
50-60 hours of contact teaching.
20-40 hours of independent study of literature.
20-40 hours for assignments and group assignments.
10-20 hours preparing for the exam.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.