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
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IT4PAICB1Tradenomi tietojenkäsittely, 4. lukukausi, Pasila, ICT ja liiketoiminta, ryhmä 1
-
ITE4PADIG1Business Information Technology, 4th semester, Digital Services, Pasila, group 1
-
ITE4PAICB1Business Information Technology, 4th semester, ICT and Business, Pasila, group 1
-
VIRTUALVirtual implementation
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INSTRUCTEDInstructed virtual implementation
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ITB4PAICB1Tradenomi 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.