Artificial Intelligence with Python (3 cr)

Code: TT00EV76-3055

General information

Enrollment: 05.08.2024 - 31.12.2025
Enrollment is ongoing
Enroll to the implementation in OMA

Timing: 05.08.2024 - 31.12.2026
Implementation is running.

Number of ECTS credits allocated: 3 cr

Local portion: 0 cr

Virtual portion: 3 cr

Unit: School of ICT and Industrial Management

Campus: Karaportti 2

Teaching languages: English

Seats: 0 - 500

Degree programmes: Information and Communication Technology

Teachers: Virve Prami

Teacher in charge: Janne Salonen

Groups: CAMPUSONLINE_TIVI_NONSTOP
CampusOnline implementations (Tivi Nonstop)

Course: TT00EV76

No reservations found for implementation TT00EV76-3055!

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.

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.