Rust Language and its Ecosystem (2 cr)
Code: TX00FL66-3006
General information
- Enrollment
-
05.05.2025 - 17.08.2025
Registration for implementation has not started yet.
- Timing
-
18.08.2025 - 19.10.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 2 cr
- Mode of delivery
- On-campus
- Unit
- School of ICT and Industrial Management
- Campus
- Myllypurontie 1
- Teaching languages
- Finnish
- Seats
- 0 - 35
- Degree programmes
- Information and Communication Technology
Objective
After completing the course, the student is able to continue learning Rust language and its ecosystem, for finding more information and solutions for solving concrete problems in real-life use cases.
Content
- Rust language basics
- Ecosystem around the language, such as the 3rd party libraries
- Unit testing
- Utilising artificial intelligence and automation as a part of the development process
- Learning through concrete real-life examples
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
Students will be able to understand how applications developed in Rust are built, how the development environment is built and how third-party libraries can be used.
Assessment criteria, good (3)
Students will identify different uses of Rust and its ecosystem and be able to start implementing and testing them.
Assessment criteria, excellent (5)
Students will be able to search for suitable libraries for different purposes, automate their testing, and create installable software packages for different environments.
Assessment criteria, approved/failed
Students will be able to understand how applications developed in Rust are built, how the development environment is built and how third-party libraries can be used.
Objective
After completing the course, the student is able to continue learning Rust language and its ecosystem, for finding more information and solutions for solving concrete problems in real-life use cases.
Content
- Rust language basics
- Ecosystem around the language, such as the 3rd party libraries
- Unit testing
- Utilising artificial intelligence and automation as a part of the development process
- Learning through concrete real-life examples