Introduction to Artificial Intelligence (3 cr)

Code: AE00CM73-3006

General information

Enrollment: 22.04.2025 - 08.10.2025; Registration for the implementation has begun.

Timing: 20.10.2025 - 14.12.2025; The implementation has not yet started.

Number of ECTS credits allocated: 3 cr

Local portion: 3 cr

Mode of delivery: Contact learning

Unit: SeAMK Automation Engineering and Information Technology

Campus: SeAMK Seinäjoki, Frami

Teaching languages: Finnish

Degree programmes: Bachelor of Engineering, Information Technology

Teachers: Pasi Mikkonen

Course: AE00CM73

Evaluation scale

1-5

Objective

Students will be competent in using the mathematical methods described in the course contents to solve practical mathematical problems.

Content

Minimization by gradient descent
Linear regression
Logistic regression
Neural networks

Materials

to be announced at the beginning of the course

Teaching methods

lectures

Student workload

81h

Assessment criteria, satisfactory (1)

satisfactory (1-2): The student knows and understands to a satisfactory extent the basic concepts and methods discussed in the course, and is able to apply them to usual problems.

Assessment criteria, good (3)

good (3-4): The student is familiar with the concepts and methods discussed in the course, and is able to apply them to different types of problems. The student is able to combine the accumulated knowledge and skills with previous experiences in the subject.

Assessment criteria, excellent (5)

excellent (5): The student is familiar with the concepts and methods discussed in the course, and is able to apply them to a variety of different problems. The student has demonstrated creativity and innovation, and is able to find new meanings when applying what they have learned

Qualifications

Algebra and geometry, Vectors and matrices, Differential and integral calculus, Automation technology mathematics

Further information

80% attendance requirement in classes