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
- Gareth Noyce
- Teemu Heinimäki
Vastuuhenkilö
Pasi Pekkanen
Ryhmät
-
23TIKOGAME23 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
-
22TIKOGAME22 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
-
21TIKOGAME21 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
-
20TIKOGAME20 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