Degree Programme in Business Data Analytics and Visualisation

Academic year 2020 - 2021

Communication in data analytics DA00DG83-3002 01.03.2021-30.04.2021 5 credits (DAKV19SP) +-
Learning outcomes of the course

You are able to analyze communication needs, understand companies' needs for proper communication, communicate in a proper way in different situations and understand basic concepts and rules related to organisational communication.

Prerequisites and co-requisites

Finnish communication skills

Course contents

Basics of corporate communication.
Importance of organisational communication for the company.
Proper communication habits.
Laws and rules regulating communication.

Name of lecturer(s)

Emmi Mäkinen

Teacher(s)

Emmi Mäkinen

Mode of delivery

Face-to-face

Recommended or required reading

Will be announced at the beginning of the course

Planned learning activities and teaching methods

need agreement with the lecturer

Assessment methods and criteria

Will be announced at the beginning of the course

Language of instruction

Tuition in Finnish

Timing

01.03.2021 - 30.04.2021

Enrollment date

14.12.2020 - 14.01.2021
- 5 credits
Group(s)
- DAKV19SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

1-5

Students use of time and load

1 cr = 27 hours work for the student
Data acquisition 3 DA00DG94-3002 11.01.2021-30.04.2021 5 credits (DAKV19SP) +-
Learning outcomes of the course

You can collect customer data and marketing data for analysis purposes.

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.

Course contents

How to collect business marketing and customer data?

Teacher(s)

Pia Kaari

Atte Reijonen

Anja Härkönen

Mode of delivery

Face-to-face

Recommended or required reading

Ilmoitetaan myöhemmin (not translated)

Planned learning activities and teaching methods

Työviikkopohjainen oppimisväylä (not translated)

Assessment methods and criteria

Ilmoitetaan myöhemmin (not translated)

Language of instruction

Tuition in Finnish

Timing

11.01.2021 - 30.04.2021

Enrollment date

14.12.2020 - 14.01.2021
- 5 credits
Group(s)
- DAKV19SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

1-5

Exam schedule

Ilmoitetaan myöhemmin (not translated)

Students use of time and load

5 op, eli noin 133 h (not translated)
Data analysis 3 DA00DG95-3002 11.01.2021-30.04.2021 5 credits (DAKV19SP) +-
Learning outcomes of the course

You can use statistical analysis methods.
You can apply qualitative analysis methods.
You can carry out a data analysis project based on statistical 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.

Course contents

How to use statistical analysis methods?
How to use qualitative analysis methods?
How to carry out a data analysis project based on statistical methods?

Teacher(s)

Pia Kaari

Atte Reijonen

Anja Härkönen

Mode of delivery

Face-to-face

Recommended or required reading

Will be announced at the beginning of the course

Planned learning activities and teaching methods

Discussion with the lecturer needed

Assessment methods and criteria

Will be announced at the beginning of the course

Language of instruction

Tuition in Finnish

Timing

11.01.2021 - 30.04.2021

Enrollment date

14.12.2020 - 14.01.2021
- 5 credits
Group(s)
- DAKV19SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

1-5

Students use of time and load

1 cr = 27 hours work for the student
International business LT00AB02-3012 31.08.2020-18.12.2020 5 credits (DAKV19SP) +-
Learning outcomes of the course

You are able to analyze the international business environment. You are able to recognize global business opportunities and prerequisites and analyze market areas. You are familiar with strategies of international operations. You are able to compare different operation models and select the most appropriate model for the company.

Course contents

What are the most important features in the international business environment? What are the company’s opportunities and prerequisites related to international operations? What are the strategies of international operations? How to select the most appropriate operation model?

Name of lecturer(s)

Harri Ala-Uotila

Teacher(s)

Harri Ala-Uotila

Mode of delivery

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

Recommended or required reading

1) Learn-materiaali

2) Kirsti Helin, Ulkomaankaupan menettelyt, vienti ja tuonti , AMK-kustannus 2011 (not translated)

Assessment methods and criteria

Opintojakson arvosanan perusteet ovat:

1) Tentti 50 %

2) Oppimistehtävä 50 % (not translated)

Language of instruction

Tuition in Finnish

Timing

31.08.2020 - 18.12.2020

Enrollment date

15.08.2020 - 04.09.2020
- 5 credits
Group(s)
- DAKV19SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Virtual proportion

2 credits

Evaluation scale

1-5
Law in data analytics DA00DG81-3002 01.01.2021-28.02.2021 5 credits (DAKV19SP) +-
Learning outcomes of the course

You are able to list company forms and explain their main differences regarding e.g decision-making, liability and profit distribution.
You are able to describe how a binding contract is made, what makes a contract invalid and the consequences of infringements.
You are able to describe the right to collect and give out personal data and obligations to protect it
You are able to describe how the results of creative works are protected by copyright and how to avoid copyright infringements.

Course contents

Company law basics.
Contract law basics.
Data protection.
Copyright.

Teacher(s)

Jussi Seppänen

Mode of delivery

Face-to-face

Recommended or required reading

Will be announced at the beginning of the course

Planned learning activities and teaching methods

need agreement with the lecturer

Assessment methods and criteria

Will be announced at the beginning of the course

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 28.02.2021

Enrollment date

14.12.2020 - 14.01.2021
- 5 credits
Group(s)
- DAKV19SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

1-5

Students use of time and load

1 cr = 27 hours work for the student
Practical business training DA00DG87-3002 01.05.2021-31.08.2021 20 credits (DAKV19SP) +-
Learning outcomes of the course

You practice the key tasks of your field under guidance.
You apply theoretical knowledge in practice.
You develop your capability of independent and effective working.
You are able to complete tasks in your field of specialization.

Course contents

You find a training place suitable for your specialization.
You carry out assignments related to the field of business data analytics and visualisation during the training period.
You report on the training according to instructions.

Name of lecturer(s)

Jarkko Ansamäki

Teacher(s)

Nina Hartikainen

Jarkko Ansamäki

Mode of delivery

Face-to-face

Planned learning activities and teaching methods

need agreement with the lecturer

Language of instruction

Tuition in Finnish

Timing

01.05.2021 - 31.08.2021

Enrollment date

15.03.2021 - 31.03.2021
- 20 credits
Group(s)
- DAKV19SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

Approved/Failed

Students use of time and load

1 cr = 27 hours work for the student
Practical training DA00DG86-3003 01.05.2021-31.08.2021 10 credits (DAKV20SP) +-
Learning outcomes of the course

You improve your professional skills and complement your studies.
You apply theoretical knowledge in practice and develop your capability of working independently.
You identify the areas in your competence which require development.
You learn the conventions of the working world and understand how organizations and work communities function.

Course contents

You find a training place suitable for your career path.
You carry out assignments related to the field of business (for example customer service, sales work or office tasks) during the training period.
You report on the training according to instructions

Teacher(s)

Nina Hartikainen

Jarkko Ansamäki

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

01.05.2021 - 31.08.2021

Enrollment date

15.03.2021 - 31.03.2021
- 10 credits
Group(s)
- DAKV20SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

Approved/Failed

Students use of time and load

1 credit = 27 hours work.
Professional English KY00DS47-3009 26.10.2020-18.12.2020 5 credits (DAKV20SP) +-
Learning outcomes of the course

You are able to actively use the basic professional vocabulary of your field.
You are able to look for information in English in professional sources and apply it in different study and work related communication situations.
You are able to communicate in English in various spoken and written situations in your professional field at the European level B2.

Prerequisites and co-requisites

If you have been instructed to participate in the Intensive course in English, you must complete it or independently acquire the equivalent knowledge and skills before you can participate in this course.

Course contents

What professional vocabulary is essential in your professional field?
How to look for information in professional sources in English and how to apply this information?
How to interact in spoken communication situations in English and how to draw up texts in English for professional purposes?
How to communicate in study-related situations and work communities in English?

Assessment criteria

Satisfactory

Ability to communicate in English orally and in writing in various situations in the professional field mainly at the European (CEFR) level B1.

Good

Ability to communicate in English orally and in writing in various situations in the professional field mainly at the European (CEFR) level B2.

Excellent

Ability to communicate in English orally and in writing in various situations in the professional field mainly at the European (CEFR) level C1.

Name of lecturer(s)

Slaveya Hämäläinen

Teacher(s)

Slaveya Hämäläinen

Mode of delivery

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

Language of instruction

Tuition in Finnish

Timing

26.10.2020 - 18.12.2020

Enrollment date

15.08.2020 - 04.09.2020
- 5 credits
Group(s)
- DAKV20SP
Seats

20 - 50

Unit, in charge

Kielet ja viestintä, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Virtual proportion

2 credits

Evaluation scale

1-5
Professional Swedish KY00AA03-3142 26.10.2020-31.01.2021 5 credits (DAKV19SP) +-
Learning outcomes of the course

You are able to function in oral and written communication situations in your own field. You are familiar with the terminology of your field and able to communicate in Swedish in professional situations.

The objectives are based on the Common European Framework of Languages, level B1 and the Decree 18.12.2014/1129.
After completing the course with a grade of 3, you are able to:
- understand clear standard and job-related speech.
- use basic structures reasonably well both orally and in writing.
- speak relatively fluently in such a way that occasional mistakes in pronunciation or prosody do not lead to misunderstanding.
- describe your education and work experience e.g. when applying for a job.
- describe and discuss key issues of your professional field (e.g. the operation, products, processes or services of companies and/or organizations)

Prerequisites and co-requisites

If you have been instructed to participate in the Intensive course of Swedish, you must complete it or independently acquire the equivalent knowledge and skills before you can participate in this course.

Course contents

How do you use Swedish vocabulary related to education, work environment and workplace duties?
How do you use Swedish in different communicative situations of working life, e.g. emails, telephoning and meetings?
How do you use the basic professional vocabulary required in your field and operational environment?

Name of lecturer(s)

Marja-Liisa Siren-Huhtinen

Teacher(s)

Marja-Liisa Siren-Huhtinen

Mode of delivery

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

Recommended or required reading

Gå med vinst. Edita ja opettajan määräämä materiaali. (not translated)

Assessment methods and criteria

Työviikkopohjainen oppimisväylä:
Osallistuminen lähiopetukseen, pakollinen läsnäolo 50 %, tehtävät, tentit.
Tavoitetasona on eurooppalaisen viitekehyksen tasoa B1 sekä asetusta 18.12.2014/1129 vastaava osaaminen.
Suoritettuasi opintojakson arvosanalla 3
- ymmärrät selkeää yleiskielistä puhetta ja työelämän puheviestintääkäytät perusrakenteita jokseenkin virheettömästi sekä suullisessa että kirjallisessa viestinnässä.puhut kohtalaisen sujuvasti niin, että satunnaiset virheet ääntämisessä tai lauserytmissä eivät aiheuta väärinymmärryksiä.
-ymmärrät pääkohdat ammatillisista teksteistä ja pystyt reagoimaan niihin sekä suullisesti että kirjallisesti.osaat kertoa keskeiset asiat koulutuksestasi ja työkokemuksestasi esim. työnhakutilanteessa.osaat kertoa ja keskustella alasi keskeisimmistä asioista (esimerkiksi yritysten ja organisaatioiden toiminta, tuotteet, prosessit ja palvelut) (not translated)

Language of instruction

Tuition in Finnish

Timing

26.10.2020 - 31.01.2021

Enrollment date

16.03.2020 - 27.03.2020
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 50

Further information for students

Tutkintotodistukseen tulee erillinen merkintä ruotsin kirjallisesta ja suullisesta taidosta. Sekä kirjallisesta että suullisesta kielitaidosta annetaan arvosana 1 - 3 tyydyttävästä taidosta tai 4 - 5 hyvästä taidosta. Arviointi perustuu valtakunnallisiin suosituksiin. (not translated)

Unit, in charge

Kielet ja viestintä, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Virtual proportion

2 credits

Evaluation scale

1-5

Students use of time and load

Opintojakson laajuus 5 op vastaa 135 tuntia opiskelijatyötä. (not translated)
Project DA00DG84-3003 01.01.2021-30.04.2021 5 credits (DAKV20SP) +-
Learning outcomes of the course

You are able to plan, define and plan business projects.
You know the project management methods and are able to use the tools needed in project work.
You are able to act as a member of project groups and coordinate projects.
You know project stages and can work successfully in different stages.
You know different roles and ways of working in project and team work.
You are able to prepare for meetings and work successfully at meetings.

Course contents

What are the main project management methods and tools?
How to produce project plans?
How to carry out projects and control project progress?
What roles, ways of working and meeting and negotiation practices do projects involve?

Teacher(s)

Pia Kaari

Anja Härkönen

Jarkko Ansamäki

Mode of delivery

Face-to-face

Recommended or required reading

Kurssilla käytetään sähköisiä verkkomateriaaleja. (not translated)

Planned learning activities and teaching methods

Opiskelija voi keskustella opettajan kanssa esimerkiksi
-mahdollisuudesta hyödyntää hänen työpaikaltaan saatavia toimeksiantoja osana kurssin suoritusta.
-opiskelun nopeuttamisesta suorittamalla tehtävät ennen määräpäiviä. (not translated)

Assessment methods and criteria

Arviointi tapahtuu annettujen tehtävien ja harjoitustöiden/projektien perusteella. (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 30.04.2021

Enrollment date

14.12.2020 - 14.01.2021
- 5 credits
Group(s)
- DAKV20SP
Further information for students

Kurssin aikana hallinnoidaan Datan hankinta 1 ja Datan analysointi 1 -opintojaksojen projekteja. (not translated)

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

1-5
Visualisation and communication 2 DA00DG93-3002 24.08.2020-31.12.2020 5 credits (DAKV19SP) +-
Learning outcomes of the course

You can communicate in a goal-oriented way.
You can visualise and communicate the results of a data analysis.
You can justify your observations and suggestions.

Prerequisites and co-requisites

Data acquisition 2 and data analysing 2.

Course contents

Corporate communication.
Effective communication.
Video.

Name of lecturer(s)

Nina Hartikainen

Teacher(s)

Juuso Koponen

Suvi Pylvänen

Mode of delivery

Face-to-face

Recommended or required reading

Material given by teachers.

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.

Assessment methods and criteria

All teachers evaluate their own part.

Language of instruction

Tuition in Finnish

Timing

24.08.2020 - 31.12.2020

Enrollment date

15.08.2020 - 04.09.2020
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 35

Further information for students

Data-analyysi ja visualisointi1 -must be complished before this.

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

R&D proportion

2 credits

Evaluation scale

1-5

Students use of time and load

27 hours = 1 Credit.

Content periodicity

Visual wrapping, 2 ects.

Effective communication, 3 ects.
Visualization and communication 1 DA00DG90-3003 01.01.2021-30.04.2021 5 credits (DAKV20SP) +-
Learning outcomes of the course

You know visual basics and can use them in your presentation.
You know typographical basics and can use them in your presentation.
You can present the results of analyses.
You can plan and make presentations.

Prerequisites and co-requisites

Datan hankinta 1 ja data-analyysi1. (not translated)

Course contents

Visual basics
Typographical basics
Presentation

Teacher(s)

Juuso Koponen

Katariina Silvola

Mode of delivery

Face-to-face

Recommended or required reading

Material given by teachers.

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.
Blended track:
Previos course from previous DA-group.

Assessment methods and criteria

Jokainen opettaja arvioi itse oman osuutensa. Kokonaisarvio muodostuu osa-arvioista. (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 30.04.2021

Enrollment date

14.12.2020 - 14.01.2021
- 5 credits
Group(s)
- DAKV20SP
Seats

0 - 22

Further information for students

Data acquisition 1, data-analysis 1 and visualization and communication 1 must carry out in same period.

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

1-5

Students use of time and load

1 credit = 27 hours work.

Content periodicity

Visuaalisuuden perusteet (2 op):
Typografia (1,5 op):
Typografia ja Illustrator-perusteet
Presentaatio (1,5op):
Esittämisen perusteet ja esitys (not translated)
Visualization and communication 3 DA00DG96-3002 01.01.2021-30.04.2021 5 credits (DAKV19SP) +-
Learning outcomes of the course

You know research ethics and able to apply it.
You understand the openness of research data.
You can present research results in an understandable way.

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.

Course contents

Research ethics
Research openness
Research data visuality and data design

Teacher(s)

Atte Reijonen

Juuso Koponen

Mode of delivery

Face-to-face

Recommended or required reading

Ilmoitetaan myöhemmin (not translated)

Planned learning activities and teaching methods

Työviikkopohjainen oppimisväylä (not translated)

Assessment methods and criteria

Ilmoitetaan myöhemmin (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2021 - 30.04.2021

Enrollment date

14.12.2020 - 14.01.2021
- 5 credits
Group(s)
- DAKV19SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

1-5

Exam schedule

Ilmoitetaan myöhemmin (not translated)

Students use of time and load

5 op, eli noin 133 h (not translated)

Content periodicity

Ilmoitetaan myöhemmin (not translated)

Academic year 2021 - 2022

Data acquisition 4 DA00DG98-3002 30.08.2021-31.12.2021 5 credits (DAKV19SP) +-
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?

Teacher(s)

Atte Reijonen

Päivi Hurri

Jarkko Ansamäki

Mode of delivery

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

Language of instruction

Tuition in Finnish

Timing

30.08.2021 - 31.12.2021

Enrollment date

12.04.2021 - 25.04.2021
- 5 credits
Group(s)
- DAKV19SP
Further information for students

Opintojakson tiedot löytyvät opintojaksolta Data-analyysi 4 (not translated)

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

R&D proportion

3 credits

Virtual proportion

2 credits

Evaluation scale

1-5
Data analysis 2 DA00DG92-3003 30.08.2021-31.12.2021 5 credits (DAKV20SP) +-
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?

Teacher(s)

Päivi Hurri

Jarkko Ansamäki

Mode of delivery

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

Recommended or required reading

Opintojakso Moodlessa Data-analyysi ja Datan hankinta 2
Opintojakson tarkempi kuvaus, materiaalit ja oppimistehtävät löytyvät Learnista. (not translated)

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.

Language of instruction

Tuition in Finnish

Timing

30.08.2021 - 31.12.2021

Enrollment date

12.04.2021 - 25.04.2021
- 5 credits
Group(s)
- DAKV20SP
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 Business Data Analytics and Visualisation

Unit location

Kouvola Campus

R&D proportion

2 credits

Virtual proportion

2 credits

Evaluation scale

1-5

Students use of time and load

27 h = 1op (not translated)
Data analysis 4 DA00DG99-3002 30.08.2021-31.12.2021 5 credits (DAKV19SP) +-
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?

Teacher(s)

Atte Reijonen

Päivi Hurri

Jarkko Ansamäki

Mode of delivery

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

Recommended or required reading

Opintojakson sivut Learnissa Datan hankinta 4, Data-analyysi 4, Visualisointi ja viestintä 4 (avain dataanalyysi, osoite https://learn.xamk.fi/course/view.php?id=3012) (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

30.08.2021 - 31.12.2021

Enrollment date

12.04.2021 - 25.04.2021
- 5 credits
Group(s)
- DAKV19SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

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, R-kieli ja tietojohtaminen

Tilausprojektissa suunnitellaan, toteutetaan ja raportoidaan yritys- tai TKI-tilaustutkimus. Tilausprojekti tehdään pienessä opiskelijaryhmässä ja ryhmää ohjaa joku opintojakson opettajista. (not translated)
Visualization and communication 4 DA00DG97-3002 30.08.2021-31.12.2021 5 credits (DAKV19SP) +-
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

Teacher(s)

Juuso Koponen

Päivi Hurri

Nina Hartikainen

Mode of delivery

Face-to-face

Recommended or required reading

Material named and given by teacher.

Language of instruction

Tuition in Finnish

Timing

30.08.2021 - 31.12.2021

Enrollment date

12.04.2021 - 25.04.2021
- 5 credits
Group(s)
- DAKV19SP
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 Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Evaluation scale

1-5

Degree Programme in Business Data Analytics and Visualisation
Bachelor of Business Administration, 210 ECTS

tradenomi (AMK), Bachelor of Business Administration

Academic year 2020 - 2021

Academic year 2021 - 2022

Objectives

Degree programme description

Implementation of studies and flexible learning tracks

Career opportunities

RDI and cooperation with world of work

Degree Programme in Business Data Analytics and VisualisationBachelor of Business Administration, 210 ECTS

tradenomi (AMK), Bachelor of Business Administration

Academic year 2020 - 2021

Academic year 2021 - 2022

Objectives

Degree programme description

Implementation of studies and flexible learning tracks

Career opportunities

RDI and cooperation with world of work

Degree Programme in Business Data Analytics and Visualisation
Bachelor of Business Administration, 210 ECTS