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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
  • ROKV23SP
    Robotics 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
  • ROKT22SP
    Robotics 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
  • ROKV21SP
    Robotics 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%.