Degree Programme in Business Data Analytics and Visualisation

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

tradenomi (AMK), Bachelor of Business Administration

Academic year 2019 - 2020

Basic training DA00DG86-3002 01.05.2020-31.08.2020 10 credits (DAKV19SP) +-
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

Name of lecturer(s)

Nina Hartikainen

Teacher(s)

Nina Hartikainen

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

01.05.2020 - 31.08.2020

Enrollment date

16.03.2020 - 27.03.2020
- 10 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 credit = 27 hours work.
Communication in data analytics DA00DG83-3001 02.03.2020-30.04.2020 5 credits (DAKV18SP) +-
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)

Nina Hartikainen

Teacher(s)

Nina Hartikainen

Mode of delivery

80% Face-to-face, 20% Distance learning

Recommended or required reading

Juholin, Elisa: Communicare; viestinnän tekijän käsikirja, 2017.
Juholin, Elisa: Viestinnän vallankumous - Löydä uusi työyhteisöviestintä, 2009 (2008).
Kortetjärvi-Nurmi, Sirkka, Kuronen, Marja-Liisa, Ollikainen, Marja: Yrityksen viestintä, 2008
Material given by teacher.

Planned learning activities and teaching methods

Scheduled track:
Contact lessons.

Language of instruction

Tuition in Finnish

Timing

02.03.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 35

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Virtual proportion

1 credits

Evaluation scale

1-5

Students use of time and load

27 hours = 1 credit.
Communication skills KY00AA02-3169 26.08.2019-20.12.2019 5 credits (IBKV19SP1, ...) +-
Learning outcomes of the course

You are familiar with Xamk's instructions for written assignments.
You are able to use professionally important databases and other sources of information and refer to them in your texts.

You know how to write texts that meet the standards for layout, content and style required in your studies and working life.

You are able to use appropriate writing and sharing tools.

You improve your interactive communication skills and manage fluently in different group work situations, such as meetings and negotiations.

You develop your presentation skills for professional purposes and acquire skills in giving and receiving feedback.

Course contents

Which written skills (genres, styles, tools) are you expected to master both in your studies and in work assignments in your own professional field?
Which spoken skills (presentations, interaction in meetings and negotiations, self-assessment and feedback, easing stage fright) are you expected to master both in your studies and in work assignments in your own professional field?
How do you search information from different sources and make use of it?

Name of lecturer(s)

Miia Karttunen

Teacher(s)

Miia Karttunen

Mode of delivery

Face-to-face

Recommended or required reading

Moodleen koottu materiaali. (not translated)

Planned learning activities and teaching methods

Scheduled track:
Classes on Kouvola Campus and independent/group assignments. This course is for native Finnish speakers or advanced learners (min. B1 CERF).

Independent track:
-

Blended track:
Available also online (course "Professional Communication" eCampus implementation).

Assessment methods and criteria

Saatavilla opintojakson Moodle-ympäristössä (not translated)

Language of instruction

Tuition in Finnish

Timing

26.08.2019 - 20.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- IBKV19SP1
- IBKV19SP2
- DAKV19SP
Seats

20 - 40

Further information for students

miia.karttunen@xamk.fi (not translated)

Unit, in charge

Kielet ja viestintä, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation, Degree Programme in Digital International Business

Unit location

Kouvola Campus

Evaluation scale

1-5

Exam schedule

In Exam environment.

Students use of time and load

Total 135 hours (lectures, rehearsals, independent & group working at campus and in Moodle online learning environment).
Customer-oriented marketing LT00AA93-3024 01.01.2020-30.04.2020 5 credits (DAKV19SP) +-
Learning outcomes of the course

You are able to describe the aspects of customer-oriented marketing concepts, including its objectives and functions. You are able to analyse customer buying behavior and define principles for the segmentation and selection of target groups. You are able to assess the effects of digital operational environment on customer-oriented marketing. You are able to design a marketing mix, taking into consideration product lifecycle, marketing objectives and corporate responsibility.

Course contents

What are the objectives and role of customer-oriented marketing and relationship marketing in the organizations’ operations? How does the digital economy and operational environment affect the planning of marketing? How is customer buying behavior and segmentation taken into consideration when defining objectives and target groups? What does a marketing mix consist of, and how can it be used to reach organizational goals?

Name of lecturer(s)

Mari Maunula

Teacher(s)

Mari Maunula

Mode of delivery

Face-to-face

Recommended or required reading

Bergström, S., Leppänen, A. Yrityksen asiakasmarkkinointi.
Painos 2015. Lisäksi materiaalit Moodlesta. (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV19SP
Further information for students

Opintojakso alkaa orientoivalla, itsenäisesti tehtävällä etukäteistehtävällä jonka opettaja lähettää viikolla 3/2020. (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
Data acquisition 1 DA00DG88-3002 01.01.2020-30.04.2020 5 credits (DAKV19SP) +-
Learning outcomes of the course

You can combine data from various sources.
You can describe the basics of information security.

Course contents

What kind of personal data exists?
How do you collect personal data from different sources?
How should you take into account information security?

Teacher(s)

Päivi Hurri

Jarkko Ansamäki

Mode of delivery

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

Recommended or required reading

Material given by teacher.

Planned learning activities and teaching methods

Työviikkopohjainen oppimisväylä:
Datan hankinta 1 -opintojakson kuvaus löytyy opintojaksolta Data-analyysi 1. Opintojaksot suoritetaan yhtä aikaa ja arvioidaan yhdessä.
Kurssiin sisältyy itsenäistä työskentelyä verkkokursseilla ja ulkopuolisia ja Xamkin sisäisiä tutkimuksellisia toimeksiantoja opiskelijatiimeille. (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV19SP
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

R&D proportion

3 credits

Virtual proportion

2 credits

Evaluation scale

1-5
Data acquisition 2 DA00DG91-3001 01.08.2019-31.12.2019 5 credits (DAKV18SP) +-
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?

Teacher(s)

Päivi Hurri

Jarkko Ansamäki

Mode of delivery

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

Recommended or required reading

Opintojakso Moodlessa Datan hankinta ja data-analyysi 2 (https://moodle.xamk.fi/course/view.php?id=18363 ; avain DAKV18SP)
Opintojakson tarkempi kuvaus, materiaalit ja oppimistehtävät löytyvät Moodlesta. (not translated)

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.

Language of instruction

Tuition in Finnish

Timing

01.08.2019 - 31.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 35

Further information for students

Vaatii Data-analyysi ja visualisointi1 -kokonaisuuden suorittamista ennen tätä kurssia. (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

Students use of time and load

1op = 27 työtuntia (not translated)
Data acquisition 3 DA00DG94-3001 07.01.2020-30.04.2020 5 credits (DAKV18SP) +-
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?

Name of lecturer(s)

Nina Hartikainen

Teacher(s)

Antti Karhila

Nina Hartikainen

Mode of delivery

Face-to-face

Recommended or required reading

Material given by teachers.

Planned learning activities and teaching methods

Scheduled track:
Contact lessons.
Collecting project data.

Language of instruction

Tuition in Finnish

Timing

07.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 35

Further information for students

Module consists of 3 courses: data acquisition3, data analysing 3 and visualisation and communication 3. All are connected together.

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

5 credits

Evaluation scale

1-5

Students use of time and load

27 hours = 1 credit
Data analysing 1 DA00DG89-3002 01.01.2020-30.04.2020 5 credits (DAKV19SP) +-
Learning outcomes of the course

You can prepare tables in spreadsheet which are ready for data analysing and visualisation.

Course contents

How to plan and make spreadsheets using a spreadsheet application?
How to utilize spreadsheets in data analysing?

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

Opintojakson sivut Learnissa Datan hankinta ja data-analyysi 1 (avain DAKV19SP) (not translated)

Planned learning activities and teaching methods

Työviikkopohjainen oppimisväylä:
Data-analyysi 1 suoritetaan yhtä aikaa ja arvioidaan yhdessä opintojakson Datan hankinta 1 kanssa.

Opintojakso teoriosuudessa tutustutaan relaatiokantoihin, My data -käsitteeseen ja tietoturvaan.

Opintojaksolla tehdään ryhmätöinä kolme projekti, jotka liittyvät TKI-hankkeisiin, Google Analyticsiin ja some-kampanjan analysointiin. (not translated)

Assessment methods and criteria

Project 50% and Project management 50%

Language of instruction

Tuition in Finnish

Timing

01.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV19SP
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

R&D proportion

3 credits

Virtual proportion

2 credits

Evaluation scale

1-5

Exam schedule

Opintojakson uusinnat, joissa Access-ohjelmaa voi tenttiä:
6.4.2020
1.6.2020 (not translated)
Data analysing 2 DA00DG92-3001 01.08.2019-31.12.2019 5 credits (DAKV18SP) +-
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 Datan hankinta ja data-analyysi 2 (https://moodle.xamk.fi/course/view.php?id=18363 ; avain DAKV18SP)
Opintojakson tarkempi kuvaus, materiaalit ja oppimistehtävät löytyvät Moodlesta. (not translated)

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.

Language of instruction

Tuition in Finnish

Timing

01.08.2019 - 31.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 35

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

3 credits

Virtual proportion

2 credits

Evaluation scale

1-5

Students use of time and load

27 h = 1op (not translated)
Data analysing 3 DA00DG95-3001 07.01.2020-30.04.2020 5 credits (DAKV18SP) +-
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?

Name of lecturer(s)

Nina Hartikainen

Teacher(s)

Antti Karhila

Nina Hartikainen

Mode of delivery

Face-to-face

Recommended or required reading

Material given by teacher.

Planned learning activities and teaching methods

Scheduled track:
Contact lessons.
SPSS- and atlas.ti-programs.

Language of instruction

Tuition in Finnish

Timing

07.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 35

Further information for students

Module consists of 3 courses: data acquisition3, data analysing 3 and visualisation and communication 3. All are connected together.

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

5 credits

Evaluation scale

1-5

Students use of time and load

1 credit = 27 hours work.

Content periodicity

SPSS
atlas.ti
Financial accounting LT00AA92-3016 28.10.2019-20.12.2019 5 credits (DAKV19SP) +-
Learning outcomes of the course

You demonstrate that you are familiar with the basics of enterprise finances and financial accounting. You are able to analyze and interpret financial statements and ratios of a small enterprise. You are able to explain the basic principles of value added taxation and business taxation in different forms of business.

Course contents

What is the role of financial accounting in business operations? How to apply the process of accounting cycle in a small enterprise? How to analyze and interpret financial statements? How to take into account the value added taxation in accounting cycle and reporting? How does the business taxation vary in different forms of business?

Name of lecturer(s)

Maisa Räsänen

Teacher(s)

Maisa Räsänen

Mode of delivery

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

Recommended or required reading

Jormakka, Koivusalo, Lappalainen, Niskanen: Laskentatoimi Edita (Business), v. 2018 (tai vanhempi painos). Kirja löytyy myös verkkokirjana Xamkin kirjastosta. (not translated)

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.

Blended track:
Some other similar course.

Language of instruction

Tuition in Finnish

Timing

28.10.2019 - 20.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 35

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

Students use of time and load

1 op = 27 h työtä. (not translated)
HR and labour law in data analytics DA00DG82-3001 13.01.2020-26.04.2020 5 credits (DAKV18SP) +-
Learning outcomes of the course

You are able to describe human resource management (HRM) as a whole and how it relates to organizations' strategies.
You can describe HRM processes and practices and assess the quality of the organizations' human resource management processes.
You are able to describe the legal aspects of HRM and the most important rights and obligations of employers and employees.

Prerequisites and co-requisites

the courses of Business and entrepreneurship and Financial accounting, or equivalent knowledge

Course contents

What are the processes of HRM (HRM strategy, human resource planning, recruitment, introduction, training, development, compensation, measurement and reporting)?
How has HRM developed and what issues are currently relevant?
What are the key labor laws that employees, employers and HRM personnel must take into account?

Teacher(s)

Pia Kaari

Jussi Seppänen

Mode of delivery

Face-to-face

Recommended or required reading

Ilmoitetaan opintojakson alkaessa. (not translated)

Language of instruction

Tuition in Finnish

Timing

13.01.2020 - 26.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV18SP
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
ICT in data analytics DA00DG80-3002 26.08.2019-31.12.2019 5 credits (DAKV19SP) +-
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?

Teacher(s)

Jarkko Ansamäki

Mode of delivery

Face-to-face

Recommended or required reading

Verkkomateriaalia (not translated)

Planned learning activities and teaching methods

Työviikkopohjainen oppimisväylä:
Käydään yhdessä lävitse ohjelmien toimintaa ja harjoitellaan niiden käyttöä.

Opintoja nopeuttava oppimisväylä:
Harjoitusten tekemisestä räätälöidysti työpaikoille voidaan sopia tarvittaessa

Työhön integroitu oppimisväylä:
Kurssin osia voi suorittaa nopeutetusti verkossa (not translated)

Assessment methods and criteria

Arviointi tapahtuu monien pienten tehtävien ja moodle-tenttien avulla. (not translated)

Language of instruction

Tuition in Finnish

Timing

26.08.2019 - 31.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 35

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus
International business LT00AB02-3006 02.09.2019-27.10.2019 5 credits (DAKV18SP) +-
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?

Teacher(s)

Harri Ala-Uotila

Mode of delivery

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

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.

Language of instruction

Tuition in Finnish

Timing

02.09.2019 - 27.10.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 35

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 DA00DG81-3001 06.01.2020-23.02.2020 5 credits (DAKV18SP) +-
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 tell about the right to collect and give out personal data and about 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.

Name of lecturer(s)

Päivi Ollila

Teacher(s)

Jussi Seppänen

Mode of delivery

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

Recommended or required reading

Saarnilehto & Al. Sopimusoikeuden perusteet. 2018. Talentum verkkokirjahyllyt, Xamk e-aineistot.
Vapaavuori Tom. Yrityssalaisuudet, liikesalaisuudet ja salassapitosopimukset.2016. Talentum verkkokirjahyllyt, Xamk e-aineistot.
Hanninen & Al. Henkilötietojen käsittely - EU-tietosuoja-asetuksen vaatimukset (2017). KauppakamariTieto, Xamk e-aineistot. (not translated)

Planned learning activities and teaching methods

Työviikkopohjainen oppimisväylä:
Luennot, oppimistehtävät ja tentti. (not translated)

Language of instruction

Tuition in Finnish

Timing

06.01.2020 - 23.02.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV18SP
Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Virtual proportion

3 credits

Evaluation scale

1-5
Mathematics in data analytics DA00DG79-3002 26.08.2019-31.12.2019 5 credits (DAKV19SP) +-
Learning outcomes of the course

You understand the basics of probability theory and statistics. You are able to use statistical software. You understand the principle of statistical inference.

Course contents

Classical and empirical definition of probability.
Connection between probability theory and statistics.
Basic concepts of statistics.
Descriptive statistics.
Statistical inference.

Teacher(s)

Tommi Salmela

Mode of delivery

80% Face-to-face, 20% Distance learning

Recommended or required reading

Material given by teacher.

Planned learning activities and teaching methods

Työviikkopohjainen oppimisväylä:
Normaali lähiopetus. (not translated)

Language of instruction

Tuition in Finnish

Timing

26.08.2019 - 31.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 35

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus

Virtual proportion

1 credits

Evaluation scale

1-5

Students use of time and load

27 h = 1 op. (not translated)
Practical training DA00DG87-3001 27.04.2020-31.08.2020 20 credits (DAKV18SP) +-
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.

Teacher(s)

Nina Hartikainen

Mode of delivery

Face-to-face

Language of instruction

Tuition in Finnish

Timing

27.04.2020 - 31.08.2020

Enrollment date

01.10.2019 - 15.10.2019
- 20 credits
Group(s)
- DAKV18SP
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.
Professional English KY00AA04-3129 28.10.2019-20.12.2019 5 credits (DAKV19SP) +-
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 orally and in writing in various situations in your professional field.

Prerequisites and co-requisites

If you have been instructed to participate in the Intensive course of 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 essentially necessary?
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?

Name of lecturer(s)

Slaveya Hämäläinen

Teacher(s)

Slaveya Hämäläinen

Mode of delivery

Face-to-face

Planned learning activities and teaching methods

Scheduled track:
Studying according to the weekly timetables

Language of instruction

Tuition in Finnish

Timing

28.10.2019 - 20.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 40

Unit, in charge

Kielet ja viestintä, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation

Unit location

Kouvola Campus
Professional Swedish KY00AA03-3087 28.10.2019-20.12.2019 5 credits (DAKV18SP) +-
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?

Teacher(s)

Marja-Liisa Siren-Huhtinen

Mode of delivery

Face-to-face

Recommended or required reading

Gå med vinst. Edita tai vastaava oppimateriaali. Opettajan määräämä aineisto. (not translated)

Planned learning activities and teaching methods

Scheduled track:
Students attend instruction and counselling according to the timetable. Studies follow the timetable of contact classes and assignments that are completed independently.

Blended track:
Completing studies quicker takes place by choosing independent methods of study. These can include, for example, online courses or courses from other student groups’ timetables. Completing assignments through this track involves more independent work and learning compared to the scheduled track

Assessment methods and criteria

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)

Language of instruction

Tuition in Finnish

Timing

28.10.2019 - 20.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 40

Unit, in charge

Kielet ja viestintä, 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

Opintojakson laajuus 5 op vastaa 135 tuntia opiskelijatyötä. (not translated)
Professional growth KY00AA01-3179 26.08.2019-31.07.2022 5 credits (DAKV19SP) +-
Learning outcomes of the course

You know how to study purposefully to develop your own professional growth and professional know-how.
You know how to choose the most suitable study methods and know how to reach the degree objective.
You know how to act according to the policies and rules of working life.
You know how to apply the ethical principles of your own subject field in different situations.
You know how to strengthen your employment skills.
You know how to market your skills and competence to the employer.

Course contents

Being a student at a university of applied sciences:
What is XAMK like in terms of studying community and learning environment?
What is your personal career and study plan?
What kind of a learner are you and how do you develop your study skills?
How do you make your internal entrepreneurship support your goals?

Professional know-how and ethical principles:
What are the national and international operating environments, procedures and the rules of the workplace?
What are the ethical principles of the profession and how to apply them to your work?

Preparation for working life:
What are your own professional strengths and employment skills and how do you use them in your personal networks?
How do you apply for a job?
What kinds of post-graduate study opportunities are there?

Name of lecturer(s)

Nina Hartikainen

Teacher(s)

Nina Hartikainen

Jarkko Ansamäki

Mode of delivery

Face-to-face

Planned learning activities and teaching methods

Scheduled track:
Contact teaching,

Language of instruction

Tuition in Finnish

Timing

26.08.2019 - 31.07.2022

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 35

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

Exam schedule

No exam.

Students use of time and load

27 h = 1 op. (not translated)

Approved / Failed

Läsnäolo ja annettujen tehtävien hyväksyttävä suoritus. (not translated)
Project DA00DG84-3002 01.01.2020-30.04.2020 5 credits (DAKV19SP) +-
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?

Name of lecturer(s)

Nina Hartikainen

Teacher(s)

Päivi Hurri

Nina Hartikainen

Mode of delivery

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

Recommended or required reading

Opintojakson sivut Learnissa Projektiosaaminen (avain MSProject) (not translated)

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.

Independent track:
Project and presentation of that project.
Exam of project basics (Nina).

Blended track:
Previous course from previous DA-group.

Assessment methods and criteria

Projektiperusteiden tentti (Nina).

Data-analytiikan projektissa arviointi:
Projektisuunnitelma 40%
Ohjausseminaari ja vertaiskehittäminen 20%
Oppimispäiväkirja 10%
Projektinhallinnan oppimistehtävä 30% (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 35

Further information for students

Opintojakso jakautuu kahteen osaan: Projektiperusteet (Ninan osuus) ja Data-analytiikan projekti (Päivin osuus).

Projektiperusteissa tutustutaan projektinhallinnan teoriaan.

Data-analytiikan projektissa tehdään suunnitelma ja ohjataan Datan hankinta 1 ja Data-analyysi 1 -opintojaksoilla toteutettavaa projektia. Data-analytiikan projektissa harjoitellaan MS-Project-ohjelman käyttöä. (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

1 credit = 27 hours work.
Research methods DA00DG85-3002 01.01.2020-30.04.2020 5 credits (DAKV19SP) +-
Learning outcomes of the course

You are able to choose an appropriate method for data retrieval and justify your choice
You are able to gather and analyze data by using appropriate quantitative, qualitative and practice-based methods.
You are able to evaluate the reliability and validity of a study.
You are able to draw up a research report.

Course contents

How does a research process proceed?
How to analyze quantitative and qualitative data?
How to conduct practice-based research?
How to evaluate the reliability and validity of a study?
How to write a research report?

Name of lecturer(s)

Nina Hartikainen

Teacher(s)

Tommi Salmela

Nina Hartikainen

Miia Karttunen

Mode of delivery

Face-to-face

Recommended or required reading

Material given by teachers.

Planned learning activities and teaching methods

Scheduled track:
Contact lessons.

Blended track:
Previous course from previous DA-group.

Assessment methods and criteria

Kukin opettaja arvioi oman osuutensa.
Kokonaisarvosana muodostuu näistä osasuorituksista. (not translated)

Language of instruction

Tuition in Finnish

Timing

01.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 35

Further information for students

Course consists of three parts:
Quantitative methods, 2 credits.
Qualitative and procedural methods, 2 credits.
Academic writing, 1 credit.

All sections must be passed.

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

1 credits

Evaluation scale

1-5

Students use of time and load

1 credit = 27 hours work.
Visualisation and communication 1 DA00DG90-3002 01.01.2020-30.04.2020 5 credits (DAKV19SP) +-
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

Name of lecturer(s)

Katariina Silvola

Teacher(s)

Suvi Pylvänen

Nina Hartikainen

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

01.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV19SP
Seats

20 - 35

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)
Visualisation and communication 2 DA00DG93-3001 01.08.2019-31.12.2019 5 credits (DAKV18SP) +-
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)

Petri Hurme

Teacher(s)

Petri Hurme

Nina Hartikainen

Mode of delivery

Face-to-face

Planned learning activities and teaching methods

Scheduled track:
Contact teaching.

Language of instruction

Tuition in Finnish

Timing

01.08.2019 - 31.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 35

Further information for students

Data-analyysi ja visualisointi1 -kokonaisuus oltava suoritettuna ennen tätä kokonaisuutta. (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

Students use of time and load

27 h = 1op (not translated)
Visualisation and communication 3 DA00DG96-3001 07.01.2020-30.04.2020 5 credits (DAKV18SP) +-
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

Name of lecturer(s)

Nina Hartikainen

Teacher(s)

Antti Karhila

Nina Hartikainen

Mode of delivery

Face-to-face

Recommended or required reading

Material given by teachers.

Planned learning activities and teaching methods

Scheduled track:
Contact lessons.

Language of instruction

Tuition in Finnish

Timing

07.01.2020 - 30.04.2020

Enrollment date

16.12.2019 - 10.01.2020
- 5 credits
Group(s)
- DAKV18SP
Seats

20 - 35

Further information for students

Module consists of 3 courses: data acquisition3, data analysing 3 and visualisation and communication 3. All are connected together.

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

Evaluation scale

1-5

Students use of time and load

1 credit = 27 hours work.

Content periodicity

Converting results given by programs into understandable form.
Science communication.
Open science.
Research ethics.
Yrityskuvan viestiminen verkossa (not translated) VV00DF65-3001 16.09.2019-15.12.2019 5 credits (VV2019-2020) +-
Learning outcomes of the course

Osaat suunnitella ja laatia julkaisujärjestelmällä www-sivuja.
Tunnet sosiaalisen median mahdollisuudet yrityskuvan viestinnässä ja osaat hyödyntää somea yrityskuvan luomiseen. (not translated)

Course contents

Millaiset on hyvät www-sivut?
Miten www-sivuja rakennetaan?
Miten suunnitellaan some-kampanja?
Miten toteutetaan some-kampanja? (not translated)

Further information

Opintojakso suoritetaan kokonaisuudessaan verkossa. (not translated)

Name of lecturer(s)

Päivi Hurri

Teacher(s)

Päivi Hurri

Nina Hartikainen

Mode of delivery

Distance learning

Assessment methods and criteria

Opintojakson arvosana opettajien antamien arvosanojen keskiarvona. (not translated)

Language of instruction

Tuition in Finnish

Timing

16.09.2019 - 15.12.2019

Enrollment date

15.08.2019 - 30.08.2019
- 5 credits
Group(s)
- VV2019-2020
Seats

20 - 40

Further information for students

Opintojakso jakautuu kahteen osaan: Yrityskuvan tietotekniikkaa 2,5op (Päivi Hurri) ja Yrityskuvan viestiminen 2,5op (Nina Hartikainen).
Yrityskuvan viestiminen verkossa -kurssi suoritetaan tehtävilllä (WWW-sivujen laatiminen WordPress-palvelussa ja Facebook-kampanjan suunnittelu ja toteuttaminen)
Opiskelijan kannattaa etukäteen miettiä, mille yritykselle (pieni/keskisuuri) tai yhteisölle hän haluaa tehtävät toteuttaa. Tehtävät tehdään yksilötyönä ja ne on palautettava annettuun määräaikaan mennessä. Myöhästyneitä tehtäviä ei arvioida. (not translated)

Unit, in charge

Liiketalouden koulutusyksikkö, Kouvola (not translated)

Programme(s)

Degree Programme in Business Data Analytics and Visualisation, Degree Programme in Sales and Marketing, Degree Programme in Business Management

Unit location

eCampus

Virtual proportion

5 credits

Evaluation scale

1-5

Exam schedule

Opintojaksoa ei voi suorittaa tenttimällä. (not translated)

Students use of time and load

Opintojakso on verkkokurssi, jonka opetus kokonaisuudessaan verkossa. (not translated)

Approved / Failed

Hylätty: Oppimistehtävät jätetty tekemättä, tehty ohjeistuksen vastaisesti tai palautettu palautusajan jälkeen. (not translated)

Academic year 2020 - 2021

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

16.03.2020 - 27.03.2020
- 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
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.

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

CEFR B1

Good

CEFR B2

Excellent

CEFR 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

16.03.2020 - 27.03.2020
- 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)
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)

Opettaja3 Liiketalous

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

16.03.2020 - 27.03.2020
- 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.

Objectives

Data analytics is a unique degree program which consists of business, data analytics and communication studies. In these studies you learn how to work in a changing business environment and get skills to start a business of your own. You learn how to manage business with data and how to create new, data driven future business.

The degree program bases on business studies, but core competence involves data processing and presentation skills. The studies provide you with knowhow and skills for new, versatile expert and development tasks in companies and public enterprises.

You study data analytics, communication and visualization in a versatile learning environment and context consisting of projects, company collaboration, teamwork, independent studies and lessons by experts. As part of the studies can be in English, they also provide you with practical language skills.

It is possible to study in a real business context. You learn to know different companies and their needs in a new business area. This way you learn to understand business and produce the data needed and to generate new business possibilities.

Degree programme description

The degree program consists of obligatory studies of business and data analytics and optional studies. Optional studies enable specializing in studies that interest you. Also practical training periods and bachelor’s thesis are very important parts of your studies.
If you have previous skills related to degree program contents through studies, work or leisure activities, it is possible to apply for recognition of prior learning.

The Degree Programme in Data Analytics makes you familiar with business and business development. You learn to understand which new possibilities data analytics can give for business. According your own interest you can familiarize with other business areas as well. You learn to find, edit and present data needed by companies and to develop the company through data. You learn to understand business and find new ideas, targets and ways to enhance data.

The degree program highlights professional skills in data analytics, visualization and communication combined to business. You can also complement your degree by choosing studies in a multidisciplinary manner from service design, for example, or other fields you are interested in.

Implementation of studies and flexible learning tracks

The studies are full-time and arranged through daytime classroom teaching consisting of lessons, webinars and company and development projects. You learn by doing, through experiments and pilot projects as well as through listening and understanding. Lessons are mainly in Finnish, but some part of the studies can be carried out in English. The materials used are either in Finnish or in English.

Career opportunities

After BBA graduation you can work in expert, planning or in development duties in companies, municipalities or government enterprises. You can plan, implement, organize and develop. You can be an entrepreneur as well. In addition, you receive skills needed in working in international business.

Job titles include for example the following:
• Customer analyst
• CDO (Chief Data Officer)
• Data analyst
• Data scientist
• Data visualist
• Digital communication specialist
• Development manager
• Business development expert
• Marketing analyst
• Project manager
• Data expert
• Communication specialist

RDI and cooperation with world of work

The Degree Programme of Data Analytics collaborates closely with companies and RDI (Research, Development, Innovation) activities. You learn to know companies and their needs in a new business area.

At South Eastern University of Applied Sciences you develop your expertise through real company collaboration. Studies take place through learning projects involving students, working life representatives and teachers. During your studies you can work with many different projects and many different organizations.