MM-114 Game Statistics, Maps and Logistics
- ECTS Credits:
- 5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Mark Charles Heckford
- Lecture Semester:
- Spring
- Teaching language:
- English
- Duration:
- 1 term
The course is connected to the following study programs
Teaching language
EnglishCourse contents
In E-sports, as in all other sports, statistics plays a prominent role. Statistics is an important tool for any athlete regardless of activity. It can be used to monitor individual progress, or to understand the activity and predict outcomes. Most sports today have tools that monitor statistics continuously. The use of maps in different forms are prominent in many e-sports games. The need to understand maps and be able to navigate through them is an important skill. Being able to organize and understand the basic requirements that enables you to perform is also important. Logistics encompass both individual preparations as well as organizing on a larger scale.
This course gives a basic understanding of why statistics, logistics and maps are such an important part of the e-sports sphere and why it is important for the individual player’s progression. The students will also be given insight into how processes regarding the planning and execution of tournaments are made.
Learning outcomes
On successful completion of the course, the students should be able to:
-
understand E-sports in relation to the use of statistics.
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read and understand statistics in sports in general and E-sports in particular.
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understand the importance of hardware when competing and be able to make good decisions on what to use.
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navigate and understand the importance of maps in certain games.
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understand the term of logistics in an E-sports context.
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understand how E-sports tournaments are held and ran.
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understand the basics of how to use game engines for creating maps and running simulations.
Examination requirements
All mandatory tasks have to be completed and approved. An overview of all tasks will be presented in Canvas. Training logs must also be approved.
Teaching methods
On campus and digital lectures with discussions and assignments. Expected workload for the average student is 135 hours.
Evaluation
The study program manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.
Assessment methods and criteria
Individual written assignment. Graded assessment. Statistics 50%, maps 25% and logistics 25%
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
| Course | Reduction of Credits |
|---|---|
| MM-910 – Game Statistics, Maps and Logistics | 5 |