Game Analytics and MonetizationLaajuus (3 cr)
Code: TT00BI59
Credits
3 op
Objective
Students will understand the characteristics of game analytics and monetization in free-to-play games and become familiar with different analytics tools and software. Student will also understand basics of user acquisition.
Content
Analytics and metrics in free-to-play games
Monetization in free-to-play games
Player behaviour
User acquisition
Analytics tools and software
Arviointikriteerit, kiitettävä (5)
Excellent knowledge in proved by assignments and activity during classes.
Assessment criteria, good (3)
Good knowledge in proved by assignments and activity during classes.
Arviointikriteerit, tyydyttävä (1)
Average knowledge in proved by assignments and activity during classes.
Assessment criteria, approved/failed
Failed if poor knowledge in proved by assignments and activity during classes.
Enrollment
02.07.2024 - 31.07.2024
Timing
01.08.2024 - 31.12.2024
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Business Information Technology
Teachers
- Joonas Muhonen
- OPE_Tietojärjestelmät OPE_Tietojärjestelmä
Groups
-
TTK23SPTTTK23SPT
Objective
Students will understand the characteristics of game analytics and monetization in free-to-play games and become familiar with different analytics tools and software. Student will also understand basics of user acquisition.
Content
Analytics and metrics in free-to-play games
Monetization in free-to-play games
Player behaviour
User acquisition
Analytics tools and software
Evaluation scale
0 - 5
Arviointikriteerit, kiitettävä (5)
Excellent knowledge in proved by assignments and activity during classes.
Assessment criteria, good (3)
Good knowledge in proved by assignments and activity during classes.
Arviointikriteerit, tyydyttävä (1)
Average knowledge in proved by assignments and activity during classes.
Assessment criteria, approved/failed
Failed if poor knowledge in proved by assignments and activity during classes.
Enrollment
01.08.2023 - 30.09.2023
Timing
01.08.2023 - 15.10.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Unit
Teknologia
Teaching languages
- English
Degree programmes
- Bachelor’s Degree in Business Information Technology
Teachers
- Joonas Muhonen
- Ope_pelituotanto Ope_pelituotanto
Groups
-
TTK22SPTRaaheTTK22SPTRaahe
-
TTK22SPTTTK22SPT
Objective
Students will understand the characteristics of game analytics and monetization in free-to-play games and become familiar with different analytics tools and software. Student will also understand basics of user acquisition.
Content
Analytics and metrics in free-to-play games
Monetization in free-to-play games
Player behaviour
User acquisition
Analytics tools and software
Evaluation scale
0 - 5
Arviointikriteerit, kiitettävä (5)
Excellent knowledge in proved by assignments and activity during classes.
Assessment criteria, good (3)
Good knowledge in proved by assignments and activity during classes.
Arviointikriteerit, tyydyttävä (1)
Average knowledge in proved by assignments and activity during classes.
Assessment criteria, approved/failed
Failed if poor knowledge in proved by assignments and activity during classes.
Enrollment
01.08.2022 - 30.09.2022
Timing
01.08.2022 - 31.12.2022
Number of ECTS credits allocated
3 op
Virtual portion
3 op
Mode of delivery
Distance learning
Unit
Teknologia
Teaching languages
- Finnish
Degree programmes
- Bachelor’s Degree in Business Information Technology
Teachers
- Joonas Muhonen
- Antti Junttila
Groups
-
TTK21SPTRaaTTK21SPTRaa
-
TTK21SPRaaheTTK21SPRaahe
-
TTK21SPTTTK21SPT
Objective
Students will understand the characteristics of game analytics and monetization in free-to-play games and become familiar with different analytics tools and software. Student will also understand basics of user acquisition.
Content
Analytics and metrics in free-to-play games
Monetization in free-to-play games
Player behaviour
User acquisition
Analytics tools and software
Evaluation scale
0 - 5
Arviointikriteerit, kiitettävä (5)
Excellent knowledge in proved by assignments and activity during classes.
Assessment criteria, good (3)
Good knowledge in proved by assignments and activity during classes.
Arviointikriteerit, tyydyttävä (1)
Average knowledge in proved by assignments and activity during classes.
Assessment criteria, approved/failed
Failed if poor knowledge in proved by assignments and activity during classes.