Academic year 2019 - 2020

There is no implementations attached to this degree programme.

Academic year 2020 - 2021

•   Data acquisition 2 DA00DG91-3002 24.08.2020-31.12.2020  5 credits  (DAKV19SP) +-
  Learning outcomes of the course

  You can collect data from business databases for analysing.
  You can describe a relational database.
  You can collect data from social media.

  Course contents

  How to collect data from business databases?
  How to use databases?
  How to get data from social media platforms?

  ---

  Name of lecturer(s)

  Päivi Hurri

  Teacher(s)

  Päivi Hurri

  Jarkko Ansamäki

  Mode of delivery

  60% Face-to-face, 40% Distance learning

  Language of instruction

  Tuition in Finnish

  Timing

  24.08.2020 - 31.12.2020

  Enrollment date

  16.03.2020 - 27.03.2020

  • 5 credits

  Group(s)

  • DAKV19SP

  Further information for students

  Tämän opintojakson kuvaus löytyy Data-analyysi 2 opintojaksolta. (not translated)

  Unit, in charge

  Liiketalouden koulutusyksikkö, Kouvola (not translated)

  Programme(s)

  Degree Programme in Data Analytics

  Unit location

  Kouvola Campus

  R&D proportion

  3 credits

  Virtual proportion

  2 credits

  Evaluation scale

  1-5

•   Data acquisition 4 DA00DG98-3001 31.08.2020-31.12.2020  5 credits  (DAKV18SP) +-
  Learning outcomes of the course

  You can collect data with many methods for analysis and further elaboration.

  Prerequisites and co-requisites

  the courses of Data acquisition 1, Data analysis 1, Visualisation and communication 1.
  the courses of Data acquisition 2, Data analysis 2, Visualisation and communication 2.
  the courses of Data acquisition 3, Data analysis 3, Visualisation and communication 3.

  Course contents

  How to collect data for an extensive RDI project using several methods?

  ---

  Name of lecturer(s)

  Päivi Hurri

  Teacher(s)

  Päivi Hurri

  Jarkko Ansamäki

  Opettaja2 Liiketalous

  Mode of delivery

  60% Face-to-face, 40% Distance learning

  Language of instruction

  Tuition in Finnish

  Timing

  31.08.2020 - 31.12.2020

  Enrollment date

  16.03.2020 - 27.03.2020

  • 5 credits

  Group(s)

  • DAKV18SP

  Further information for students

  Tämän opintojakson kuvaus löytyy opintojaksolta Data-analyysi 4 (not translated)

  Unit, in charge

  Liiketalouden koulutusyksikkö, Kouvola (not translated)

  Programme(s)

  Degree Programme in Data Analytics

  Unit location

  Kouvola Campus

  R&D proportion

  3 credits

  Virtual proportion

  2 credits

  Evaluation scale

  1-5

•   Data analysing 2 DA00DG92-3002 24.08.2020-31.12.2020  5 credits  (DAKV19SP) +-
  Learning outcomes of the course

  You can use Business Intelligence software in analyzing business data.
  You can carry out a data analysis project in which you analyze data from business databases.

  Prerequisites and co-requisites

  Data acquisition 2

  Course contents

  How can you use the BI tool?
  How can you analyze social media data?
  How can you carry out a project in which the data is mostly derived from a company's own sources?

  ---

  Name of lecturer(s)

  Jarkko Ansamäki

  Teacher(s)

  Päivi Hurri

  Jarkko Ansamäki

  Mode of delivery

  60% Face-to-face, 40% Distance learning

  Recommended or required reading

  Opintojakso Learnissa Datan hankinta ja data-analyysi 2
  https://learn.xamk.fi/course/view.php?id=129 ; avain dataanalyysi (not translated)

  Planned learning activities and teaching methods

  Scheduled track:
  Contact teaching.

  Assessment methods and criteria

  Kurssin arviointi löytyy Learnista (not translated)

  Language of instruction

  Tuition in Finnish

  Timing

  24.08.2020 - 31.12.2020

  Enrollment date

  16.03.2020 - 27.03.2020

  • 5 credits

  Group(s)

  • DAKV19SP

  Further information for students

  Data-analyysi ja visualisointi 1 -kokonaisuus oltava suoritettuna ennen tätä kokoaisuutta. (not translated)

  Unit, in charge

  Liiketalouden koulutusyksikkö, Kouvola (not translated)

  Programme(s)

  Degree Programme in Data Analytics

  Unit location

  Kouvola Campus

  R&D proportion

  3 credits

  Virtual proportion

  2 credits

  Evaluation scale

  1-5

  Students use of time and load

  27 h = 1op (not translated)

  Content periodicity

  Kurssilla opetusta SQL-perusteista sekä Power BI -ohjelman ja Tableau-ohjelman käytöstä.
  Kurssilla toteutetaan lisäksi opiskelijaryhmissä projekteja.
  
  Opintojakson tarkempi kuvaus, materiaalit ja oppimistehtävät löytyvät Learnista (not translated)

•   Data analysing 4 DA00DG99-3001 31.08.2020-31.12.2020  5 credits  (DAKV18SP) +-
  Learning outcomes of the course

  You can use open data and big data.
  You can apply robotics and artificial intelligence in business.
  You know futurology methods and their applications.
  You can carry out a large project using many methods.

  Prerequisites and co-requisites

  the courses of Data acquisition 1, Data analysis 1, Visualisation and communication 1.
  the courses of Data acquisition 2, Data analysis 2, Visualisation and communication 2.
  the courses of Data acquisition 3, Data analysis 3, Visualisation and communication 3.

  Course contents

  How to use open data and big data in business?
  How can robotics and AI help and boost business?
  How can you predict future and be prepared for it?
  How to carry out a large project using many different methods?

  ---

  Name of lecturer(s)

  Jarkko Ansamäki

  Teacher(s)

  Päivi Hurri

  Jarkko Ansamäki

  Opettaja2 Liiketalous

  Mode of delivery

  60% Face-to-face, 40% Distance learning

  Recommended or required reading

  Opintojakson sivut Learnissa Datan hankinta ja data-analyysi 4 (avain dataanalyysi) (not translated)

  Assessment methods and criteria

  Teoria 50% arvosanasta ja tilausprojekti 50%
  50%=1 ; 60%=2 ; 70%=3 ; 80%=4 ; 90%=5 (not translated)

  Language of instruction

  Tuition in Finnish

  Timing

  31.08.2020 - 31.12.2020

  Enrollment date

  16.03.2020 - 27.03.2020

  • 5 credits

  Group(s)

  • DAKV18SP

  Unit, in charge

  Liiketalouden koulutusyksikkö, Kouvola (not translated)

  Programme(s)

  Degree Programme in Data Analytics

  Unit location

  Kouvola Campus

  R&D proportion

  3 credits

  Virtual proportion

  2 credits

  Evaluation scale

  1-5

  Students use of time and load

  Opintojaksolla teoriaopetusta ja ohjausta, joka lähiopetusta 3h/viikko.
  Lisäksi tehdään tilausprojekti, jossa ohjaustapaamisia ja opiskelijoiden itsenäistä ja ryhmätyöskentelyä. (not translated)

  Content periodicity

  Opintojakso jakautuu teoriaan ja tilausprojektiin
  
  Teoria: tekoäly ja robotiikka, tilastolliset menetelmät ja tulevaisuustutkimus
  
  Tilausprojektissa suunnitellaan, toteutetaan ja raportoidaan yritys- tai TKI-tilaustutkimus. Tilausprojekti tehdään pienessä opiskelijaryhmässä ja ryhmää ohjaa joku opintojakson opettajista. (not translated)

•   ICT in data analytics DA00DG80-3003 24.08.2020-31.12.2020  5 credits  (DAKV20SP) +-
  Learning outcomes of the course

  You are able to use suitable ICT applications individually and in teams.
  You are able to compose documents, presentation graphics and spreadsheets.
  You are able to work in compliance with information security regulations.

  Prerequisites and co-requisites

  Ei edellytä aiempaa osaamista (not translated)

  Course contents

  What ICT applications are commonly used during studies and at work?
  How to produce documents, presentations and spreadsheets with IT applications?
  What is information security and how to comply with it during studies and at work?

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  Name of lecturer(s)

  Jarkko Ansamäki

  Teacher(s)

  Jarkko Ansamäki

  Mode of delivery

  60% Face-to-face, 40% Distance learning

  Recommended or required reading

  Kurssin alustalle linkitettyä verkkomateriaalia (not translated)

  Planned learning activities and teaching methods

  Tarvittaessa opettajan kanssa voi sopia yksilöidyistä ratkaisuista (not translated)

  Assessment methods and criteria

  Kurssi arvioidaan palautettujen tehtävien perusteella (not translated)

  Language of instruction

  English

  Timing

  24.08.2020 - 31.12.2020

  Enrollment date

  16.03.2020 - 27.03.2020

  • 5 credits

  Group(s)

  • DAKV20SP

  Unit, in charge

  Liiketalouden koulutusyksikkö, Kouvola (not translated)

  Programme(s)

  Degree Programme in Data Analytics

  Unit location

  Kouvola Campus

  Virtual proportion

  2 credits

  Evaluation scale

  1-5

  Students use of time and load

  Lähitunnit viikottain ja paljon pieniä itsenäisesti tehtäviä tehtäviä (not translated)

•   Visualisation and communication 4 DA00DG97-3001 31.08.2020-31.12.2020  5 credits  (DAKV18SP) +-
  Learning outcomes of the course

  You can communicate and visualize data masses in an understandable way.
  You can deal with data critically.
  You can popularise data.

  Prerequisites and co-requisites

  the courses of Data acquisition 4 and Data analysis 4

  Course contents

  Public communication
  Society communication
  Infographics
  Media critics
  Data popularising

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  Name of lecturer(s)

  Nina Hartikainen

  Teacher(s)

  Opettaja3 Liiketalous

  Päivi Hurri

  Jarkko Ansamäki

  Mode of delivery

  Face-to-face

  Recommended or required reading

  Material named and given by teacher.

  Assessment methods and criteria

  Assignments.

  Language of instruction

  Tuition in Finnish

  Timing

  31.08.2020 - 31.12.2020

  Enrollment date

  16.03.2020 - 27.03.2020

  • 5 credits

  Group(s)

  • DAKV18SP

  Seats

  20 - 35

  Further information for students

  Data analytics and visualisation 1,2 and 3 must be completed before this.
  
  Visualization and communication 4 is supposed to do at the same time as Data acquisition 4 and data analyzing 4.

  Unit, in charge

  Liiketalouden koulutusyksikkö, Kouvola (not translated)

  Programme(s)

  Degree Programme in Data Analytics

  Unit location

  Kouvola Campus

  R&D proportion

  2 credits

  Evaluation scale

  1-5

  Students use of time and load

  Project: Project results ready to visualize and communicate to public. (3 ects.)
  
  Theory: Basics of society communication and scientific data popularization, mediacritics, JUFO. (2 ects.)