•   Applied Artificial Intelligence (AI) ICB013AS3AE-3001 23.10.2023-15.12.2023  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.
    Campus

    Pasila Campus

    Teaching language

    English

    Timing

    23.10.2023 - 15.12.2023

    Enrollment

    12.06.2023 - 20.10.2023

    Groups
    • IT4PAICB1
    • VIRTUAL
    • ITB4PAICB1
    • INSTRUCTED
    Teachers

    Lili Aunimo, Juhani Heikkinen

    Seats

    15 - 40

    Degree Programme

    TRATI Tradenomi tietojenkäsittely

    R&D proportion

    0.00 cr

    Virtual proportion

    5.00 cr

    Evaluation scale

    H-5