Applied Artificial Intelligence (AI) (5 cr)

Code: ICB013AS3AE-3005

Basic information of implementation


Enrollment
02.06.2025 - 17.10.2025
Enrollment for the implementation has begun.
Timing
20.10.2025 - 12.12.2025
The implementation has not yet started.
ECTS Credits
5 cr
Campus
Pasila Campus
Teaching languages
English
Seats
30 - 60
Degree programmes
TRATI Business Information Technology
Teachers
X-Digi2 Digitaaliset palvelut2
Ville Pennanen
Jukka Remes
Groups
IT4PAICB1
Tradenomi tietojenkäsittely, 4. lukukausi, Pasila, ICT ja liiketoiminta, ryhmä 1
ITE4PADIG1
Business Information Technology, 4th semester, Digital Services, Pasila, group 1
ITE4PAICB1
Business Information Technology, 4th semester, ICT and Business, Pasila, group 1
VIRTUAL
Virtual implementation
INSTRUCTED
Instructed virtual implementation
ITB4PAICB1
Tradenomi tietojenkäsittely, monimuoto, 4. lukukausi, Pasila, ICT ja liiketoiminta
Course
ICB013AS3AE

Evaluation scale

H-5

Schedule

Course is virtual and deadlines for the assignments can be found from the Moodle.

Implementation methods, demonstration and Work&Study

Implementation Methods:
- Virtual, blended and contact implementations
- Recognition of Prior Learning

Intro

This course (Applied AI) provides basic knowledge on machine learning algorithms in Python and Knime.

Materials

Coursebook is Machine Learning Engineering with Python (Second edition) from Andrew P. McMahon, Adi Polak.

Course book is available in Haaga-Helia online library.

Also there is material available in Moodle.

Teaching methods and instruction

The course is virtual, requiring independent study and group work skills virtually. The learning environment is Moodle. Moodle contains learning materials and instructions.

The implementation involves a group assignment. This requires online meetings of groups (3-5 people).

Course materials are available at the start of the course. Current company lectures and other materials may be added during the course, but these will be announced separately.

Exam dates and re-exam possibilities

No exam applied in this course.

Internationality

The topics covered and some examples are international.

Learning assignments

The course contains some individual assignments and group assignment.

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