Applied Artificial Intelligence (AI) (5 cr)
Code: ICB013AS3AE-3004
Basic information of implementation
- Enrollment
- 02.01.2025 - 21.03.2025
- Enrolment for the implementation has ended.
- Timing
- 24.03.2025 - 16.05.2025
- Implementation has ended.
- ECTS Credits
- 5 cr
- Campus
- Pasila Campus
- Teaching languages
- English
- Seats
- 30 - 60
- Degree programmes
- TRATI Business Information Technology
- ITBBA Business Information Technology
- Teachers
- Ville Pennanen
- Jukka Remes
- Groups
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IT4PAICB1Tradenomi tietojenkäsittely, 4. lukukausi, Pasila, ICT ja liiketoiminta, ryhmä 1
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ITE4PADIG1Business Information Technology, 4th semester, Digital Services, Pasila, group 1
-
ITE4PAICB1Business Information Technology, 4th semester, ICT and Business, Pasila, group 1
-
VIRTUALVirtual implementation
-
INSTRUCTEDInstructed virtual implementation
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ITB4PAICB1Tradenomi tietojenkäsittely, monimuoto, 4. lukukausi, Pasila, ICT ja liiketoiminta
- Course
- ICB013AS3AE
Evaluation scale
H-5
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
AI learning paths and tutorials from different AI topic areas e.g. machine learning, generative AI and chatbots.
Teaching methods and instruction
The implementation is virtual, no compulsory online lectures. The might be voluntary online lectures from co-operation companies and universities. There are exercises which apply example Python notebooks. It is easier to make exercises if you have Python skills, but previous programming experience is not required.
Working life connections
Visiting lectures and RDI projects' topis are connected to the program and exercises.