Artificial intelligence with Python (3ECTS)

Code: TT00EV76-3013

General information

Timing: 01.01.2025 - 31.12.2028; Implementation is running.

Number of ECTS credits allocated: 3 ECTS

Virtual portion: 3 ECTS

Mode of delivery: Online

Campus: Karaportti 2

Teaching languages: English

Seats: 0 - 5000

Degree programmes: Degree Programme in Information Technology

Teachers: Virve Prami

Teacher in charge: Janne Salonen

Groups: OPEN_UAS_PATH_120_OP
OPEN UAS: Degree Programme of Information Technology, online studies 120 ECTS

Course: TT00EV76

No reservations found for implementation TT00EV76-3013!

Learning outcomes

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

Teaching methods

100% online (Self-Study) course.

Location and time

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

Learning materials and recommended literature

Online.

Alternative completion methods of implementation

None.

Internship and working life connections

N/A

Exam dates and retake possibilities

Online.

International connections

N/A

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.

Assessment methods and criteria

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

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, approved/failed

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