• Introduction to Data Analytics and Artificial Intelligence (TTC2050-3006),
         14.02.2022 – 31.03.2022,  3 cr  (TTV19SM, ...) — Online learning +-
    Learning outcomes of the course
    The course gives you an overview of the methods of data analytics and artificial intelligence, their possibilities and applications as well as the most commonly used programming environments and libraries.
    Prerequisites and co-requisites
    Ohjelmoinnin perusteet (not translated)
    Course contents
    Definitions of data analytics and artificial intelligence
    Practical applications of artificial intelligence
    Examples and principles of machine learning and neural networks
    Data analytics programming languages and environments: Python, R, Anaconda, Pandas
    Assessment criteria
    Assessment criteria - grade 1 and 2
    Sufficient 1: You recognize some of the most important methods, possibilities and applications of data analytics or programming environments used in them.

    Satisfactory 2: You recognize some of the most important methods, possibilities and applications of data analytics and programming environments used in them.
    Assessment criteria - grade 3 and 4
    Good 3: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them.

    Very good 4: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them. Additionally, you understand some principles of artificial intelligence methods.
    Assessment criteria - grade 5
    Excellent 5: You recognize the most important methods, possibilities and applications of data analytics and artificial intelligence and the programming environments used in them. Additionally, you understand the most important principles of artificial intelligence methods.
    Language of instruction

    Finnish

    Location and time

    Verkossa (not translated)

    Planned learning activities, teaching methods and guidance

    Etäopiskelu (harjoitukset, luentomateriaaliin tutustuminen, nauhoitetut videot käytännön esimerkeistä) (not translated)

    Learning materials and recommended literature

    Opintojakson verkkosivut (luentomateriaali, harjoitukset, nauhoitetut videot) (not translated)

    Lecturer(s)

    Antti Häkkinen

    Campus

    Lutakko Campus

    Timing

    14.02.2022 - 31.03.2022

    Learning assignments and student workload

    Verkkoluentomateriaaliin tutustuminen 35h (nauhoitetut luennot, joissa opettajan johdolla tehtäviä harjoitteita)
    Etäopiskelu 46h (harjoitukset)
    Yhteensä 81h (not translated)

    Enrollment

    16.12.2021 - 09.01.2022

    Groups
    • TTV19SM
    • TTV19S1
    • TTV20SM
    • TTV19S3
    • TTV19S2
    • TTV19S5
    • ZJA22KTIDA1
    Seats

    0 - 30

    Assessment methods

    Opintojakson arviointi muodostuu palautetuista harjoituksista. (not translated)

    Degree Programme

    Bachelor's Degree Programme in Information and Communications Technology, Bachelor's Degree Programme in Information and Communications Technology

    Mode of delivery

    Online learning

    Share of virtual studies

    3 cr

    Credits
    • 3 cr
    Unit

    School of Technology