Artificial intelligence with Python (3 ECTS)

Objective

After completing a course, student has learned what are the basic tehniques to manifest artificial intelligence using Python Programming Language in practise.

Content

- Python Quick Recap
- Python Arrays, Tables, Vectors, Matrices
- AI: Short Description
- AI: Regression 1
- AI: Regression 2
- AI: Classification 1
- AI: Classification 2
- AI: Miscellanae

Location and time

Course is delivered via Metropolia's Viope environment and it can be done in own pace.

Materials

Online.

Teaching methods

100% online (Self-Study) course.

Employer connections

N/A

Exam schedules

Online.

International connections

N/A

Completion alternatives

None.

Student workload

Course can be done in own pace. So, the timetable is up to student her-/himself.

Content scheduling

Course can be done in own pace. So, student can schedule her/his studies her-/himself.

Further information

ENROLLING

Open UAS Student via https://hakija.oma.metropolia.fi/
CampusOnline Students via eform which can be find via https://campusonline.fi

Metropolia's Degree Student
- Go to https://vw4.viope.com/login?org=metropolia
- Register to system -> Click the link “Enroll on the course”
- Choose any course of (NonStop).
- Fill the others fields

If you have problems with enrolling this course or questions about it, please contact to viopesupport@metropolia.fi

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, approved/failed

After student has done 80% of course he/she get's grading pass.

Assessment methods and criteria

After student has done at least 80% of tasks he/she can get grade pass.