•   Applied AI BIG8TN003-3003 24.10.2022-16.12.2022  5   (TA3PA, ...) +-
    Learning objectives
    he 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 chat bot,
    • has gained basic skills in using selected machine learning and NLP tools and
    • is capable of planning and implementing a project involving AI technologies
    Starting level and linkage with other courses
    Basics of AI
    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.
    • Using Knime in applied AI context

    Campus

    Pasila Campus

    Teaching language

    English

    Timing

    24.10.2022 - 16.12.2022

    Enrollment

    13.06.2022 - 21.10.2022

    Groups
    • TA3PA
    • TA3PC
    • TF3SWD
    • TF4SWD
    • TA4PB
    • TF3DIG
    • TF4DIG
    • TA4PA
    • TA4PC
    • TN3PB
    • TN4PC
    • TN3PC
    • TN4PB
    • ONLINE
    • TN3PA
    • TA3PB
    • TN4PA
    Teachers

    Lili Aunimo

    Seats

    15 - 40

    Degree Programme

    HETI Degree Programme in Business Information Technology, BITE Degree Programme in Business Information Technology

    R&D proportion

    0.00 cr

    Virtual proportion

    4.00 cr

    Evaluation scale

    H-5