IDR217 E-sports 3 - Practice
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Health and Sport Sciences
- Course Leader:
- Thomas Bjørnsen
- Lecture Semester:
- Autumn
- Teaching language:
- English
- Duration:
- 1 term
The course is connected to the following study programs
Teaching language
EnglishRecommended prerequisites
The courses Nutrition, Recovery and Athletic Performance, Programming 1 and Remote Operated Vehicles, must be taken in parallel with or before E-sports 3.
Course contents
As the other practice courses, this course will focus further on playing games and training to become better. However, it is also important to understand how everything is connected from the setup of your computer to the teams you play in and how you distribute what you do. This course will focus even more on the full picture of games connected with physical exercise.
This course is a continuation of E-sports 1 and 2 and gives increasingly more insight into the gaming world and how to optimize the experience both through the right hardware and focused training sessions. This course continues to put into practice elements that are discussed in other courses and elaborate on them. The students will be introduced to new technology for logging activities, the use of drones and other remote operated vehicles as well and basic programming.
Learning outcomes
On successful completion of the course, the students should be able to:
- Share training advice in at least one game and activity.
- Log and document training, food and sleep.
- Understand the physical and nutritional requirements when competing in any sports but in E-sports in particular.
- Log activity using digital tools.
- Understand how you can develop and use a simple program for data analysis.
- Use simple drones.
Teaching methods
The course will be divided into different modules. What they all have in common is a practical approach. Tasks will be practical in nature and the course will also include training sessions and tutoring sessions in different games.
Expected workload for the average student is 270 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
Portfolio assessment with mandatory assignments. Information about the requirements for the portfolio will be given in Canvas. Graded pass/fail.