Artificial intelligence and machine learning (5 cr)

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?

Course material

The study material is covered in the introductory lecture of the course.

Study forms and methods

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.

RDI and work-related cooperation

During the course, representatives of working life could visit to give lectures.
Excursions are organized during the course if possible.

Timing of exams and assignments

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.

Student workload

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%.