Siirry suoraan sisältöön

Business Competence and Data Analytics in Game IndustryLaajuus (5 op)

Tunnus: 4A00FA63

Laajuus

5 op

Osaamistavoitteet

The goal is that after completing the module, the student will be able to find different areas and principles of business competence in game industry. They are able to identify the tools and techniques of data science and analysis in game industry. The goal is getting to know business idea, business competence, markets, goals and funding.

Sisältö

Game Business,
Data Analytics,
Funding,
Game Markets.

Arviointikriteerit, tyydyttävä (1-2)

The student is able to identify the tools and techniques of data science and analysis in game industry.
The student can describe key concepts of business plan.

Arviointikriteerit, hyvä (3-4)

The student is able to demonstrate how game market works.
The student can demonstrate understanding of funding a game.

Arviointikriteerit, kiitettävä (5)

The student is able to apply the learned skills for designing a data analyze toolset for a game.
The student is able to apply the learned skills for creating a plan to get funded as a game team.

Ilmoittautumisaika

09.06.2025 - 07.09.2025

Ajoitus

01.08.2025 - 31.12.2025

Laajuus

5 op

Toteutustapa

Lähiopetus

Yksikkö

Tietojenkäsittely

Toimipiste

TAMK Pääkampus

Opetuskielet
  • Englanti
Koulutus
  • Tietojenkäsittelyn tutkinto-ohjelma
Opettaja
  • Pasi Pekkanen
  • Tietojenkäsittely Virtuaalihenkilö
  • Gareth Noyce
Vastuuhenkilö

Pasi Pekkanen

Ryhmät
  • 23TIKOGAME
    23 Tietojenkäsittely, Game Production opintosuunta

Tavoitteet (OJ)

The goal is that after completing the module, the student will be able to find different areas and principles of business competence in game industry. They are able to identify the tools and techniques of data science and analysis in game industry. The goal is getting to know business idea, business competence, markets, goals and funding.

Sisältö (OJ)

Game Business,
Data Analytics,
Funding,
Game Markets.

Arviointikriteerit, tyydyttävä (1-2) (OJ)

The student is able to identify the tools and techniques of data science and analysis in game industry.
The student can describe key concepts of business plan.

Arviointikriteerit, hyvä (3-4) (OJ)

The student is able to demonstrate how game market works.
The student can demonstrate understanding of funding a game.

Arviointikriteerit, kiitettävä (5) (OJ)

The student is able to apply the learned skills for designing a data analyze toolset for a game.
The student is able to apply the learned skills for creating a plan to get funded as a game team.

Arviointiasteikko

0-5

Ilmoittautumisaika

07.06.2024 - 04.09.2024

Ajoitus

02.09.2024 - 13.12.2024

Laajuus

5 op

Toteutustapa

Lähiopetus

Yksikkö

Tietojenkäsittely

Toimipiste

TAMK Pääkampus

Opetuskielet
  • Englanti
Koulutus
  • Tietojenkäsittelyn tutkinto-ohjelma
Opettaja
  • Pasi Pekkanen
  • Gareth Noyce
  • Teemu Heinimäki
Vastuuhenkilö

Pasi Pekkanen

Ryhmät
  • 22TIKOGAME
    22 Tietojenkäsittely, Games Academy opintosuunta

Tavoitteet (OJ)

The goal is that after completing the module, the student will be able to find different areas and principles of business competence in game industry. They are able to identify the tools and techniques of data science and analysis in game industry. The goal is getting to know business idea, business competence, markets, goals and funding.

Sisältö (OJ)

Game Business,
Data Analytics,
Funding,
Game Markets.

Arviointikriteerit, tyydyttävä (1-2) (OJ)

The student is able to identify the tools and techniques of data science and analysis in game industry.
The student can describe key concepts of business plan.

Arviointikriteerit, hyvä (3-4) (OJ)

The student is able to demonstrate how game market works.
The student can demonstrate understanding of funding a game.

Arviointikriteerit, kiitettävä (5) (OJ)

The student is able to apply the learned skills for designing a data analyze toolset for a game.
The student is able to apply the learned skills for creating a plan to get funded as a game team.

Arviointiasteikko

0-5

Ilmoittautumisaika

07.06.2023 - 07.09.2023

Ajoitus

28.08.2023 - 31.12.2023

Laajuus

5 op

Toteutustapa

Lähiopetus

Yksikkö

Tietojenkäsittely

Toimipiste

TAMK Pääkampus

Opetuskielet
  • Englanti
Koulutus
  • Tietojenkäsittelyn tutkinto-ohjelma
Opettaja
  • Pasi Pekkanen
  • Gareth Noyce
  • Teemu Heinimäki
Vastuuhenkilö

Pasi Pekkanen

Ryhmät
  • 21TIKOGAME
    21 Tietojenkäsittely, Games Academy opintosuunta

Tavoitteet (OJ)

The goal is that after completing the module, the student will be able to find different areas and principles of business competence in game industry. They are able to identify the tools and techniques of data science and analysis in game industry. The goal is getting to know business idea, business competence, markets, goals and funding.

Sisältö (OJ)

Game Business,
Data Analytics,
Funding,
Game Markets.

Arviointikriteerit, tyydyttävä (1-2) (OJ)

The student is able to identify the tools and techniques of data science and analysis in game industry.
The student can describe key concepts of business plan.

Arviointikriteerit, hyvä (3-4) (OJ)

The student is able to demonstrate how game market works.
The student can demonstrate understanding of funding a game.

Arviointikriteerit, kiitettävä (5) (OJ)

The student is able to apply the learned skills for designing a data analyze toolset for a game.
The student is able to apply the learned skills for creating a plan to get funded as a game team.

Arviointiasteikko

0-5

Ilmoittautumisaika

08.06.2022 - 30.08.2022

Ajoitus

01.08.2022 - 31.12.2022

Laajuus

5 op

Toteutustapa

Lähiopetus

Yksikkö

Tietojenkäsittely

Toimipiste

TAMK Pääkampus

Opetuskielet
  • Englanti
Koulutus
  • Tietojenkäsittelyn tutkinto-ohjelma
Opettaja
  • Tietojenkäsittely Virtuaalihenkilö
  • Teemu Heinimäki
Vastuuhenkilö

Pasi Pekkanen

Ryhmät
  • 20TIKOGAME
    20 Tietojenkäsittely, Games Academy opintosuunta

Tavoitteet (OJ)

The goal is that after completing the module, the student will be able to find different areas and principles of business competence in game industry. They are able to identify the tools and techniques of data science and analysis in game industry. The goal is getting to know business idea, business competence, markets, goals and funding.

Sisältö (OJ)

Game Business,
Data Analytics,
Funding,
Game Markets.

Arviointikriteerit, tyydyttävä (1-2) (OJ)

The student is able to identify the tools and techniques of data science and analysis in game industry.
The student can describe key concepts of business plan.

Arviointikriteerit, hyvä (3-4) (OJ)

The student is able to demonstrate how game market works.
The student can demonstrate understanding of funding a game.

Arviointikriteerit, kiitettävä (5) (OJ)

The student is able to apply the learned skills for designing a data analyze toolset for a game.
The student is able to apply the learned skills for creating a plan to get funded as a game team.

Arviointiasteikko

0-5