•   Applied Artificial Intelligence (AI) ICB013AS3AE-3004 24.03.2025-16.05.2025  5   (IT4PAICB1, ...) +-
    Learning objectives
    The overall learning objective of the course is to give the students insight into machine learning and natural language processing (NLP) technologies and their application in practice.
    Upon successful completion of the course, the student:
    • knows the main concepts of machine learning and natural language processing,
    • can apply a machine learning method in a business case,
    • can build a simple chatbot,
    • has gained basic skills in using selected machine learning and NLP tools and
    • is capable of planning and implementing a project involving AI technologies
    Contents
    • Main concepts of machine learning and natural language processing.
    • Business cases where machine learning and natural language processing methods are used.
    • Tools (e.g. Anaconda, Python library scikit-learn ) for machine learning.
    • Tools (e.g. Google Dialogflow, IBM Watson Virtual Assistant)
    • Course project involving AI technologies.
    Further information
    When the implementation type of the course is contact, online or blended it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.
    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.

    Learning material and recommended literature

    AI learning paths and tutorials from different AI topic areas e.g. machine learning, generative AI and chatbots.

    Working life connections

    Visiting lectures and RDI projects' topis are connected to the program and exercises.

    Campus

    Pasila Campus

    Teaching language

    English

    Timing

    24.03.2025 - 16.05.2025

    Enrollment

    02.01.2025 - 21.03.2025

    Groups
    • IT4PAICB1
    • ITE4PADIG1
    • ITE4PAICB1
    • VIRTUAL
    • INSTRUCTED
    • ITB4PAICB1
    Teachers

    Jukka Remes, Ville Pennanen

    Seats

    30 - 60

    Degree Programme

    TRATI Tradenomi tietojenkäsittely, ITBBA Business Information Technology

    R&D proportion

    0.00 cr

    Virtual proportion

    5.00 cr

    Evaluation scale

    H-5