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Project: Robotics and Artificial Intelligence (AI) (5 cr)

Code: R504D103-3001

General information


Enrollment
02.10.2023 - 11.02.2024
Registration for the implementation has ended.
Timing
12.02.2024 - 25.04.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Contact learning
Unit
Bachelor of Engineering, Information Technology
Teaching languages
English
Finnish
Seats
0 - 30
Teachers
Tommi Kokko
Teacher in charge
Tommi Kokko
Course
R504D103

Evaluation scale

H-5

Objective

The student implements a working robot. The student is able to use simulation and the most commonly used robotics tools in design. The student is able to program a robot to execute a specified task.
The student is able to apply agile methods in a practical robotics development project. The student understands the special features of agile system development and prototyping and is able to utilize suitable tools.

Execution methods

- Agile methods in project management (eg. Scrum)
- Agile development tools
- Prototyping

Accomplishment methods

The robotics project is implemented in small groups of students. The course utilizes the robotics laboratory environment and the equipment found there.

Content

The robot can be a mobile -, service or collaboration robot (cobot). Students assign tasks to a robot based on given specifications

Location and time

Onsite/Teams/Moodle

Teaching methods

Learning is implemented using the project learning model. The student completes the course in a team consisting of students. Each member of the team has their own role the process through. The aim is to have a robotics project built by the end of the study period using agile methods. Project topic comes from the business world, or lapland uas public project pool. The teaching team looks at the project group outputs throughout the process and gives feedback.

Exam schedules

The evaluation of the study course is based on the documents implemented during the project, software code, communication, teamwork and the skills demonstrated in the reviews. There is no exam in the course. The latest opportunity is practical training in the FrostBit laboratory.

Completion alternatives

Practical training in the FrostBit laboratory.

It is possible to carry out the implementation through your own robotics project. The project idea is approved by the teacher team and implemented within the given time window. The circular economy theme must also appear in your project,

Assessment criteria, satisfactory (1)

The student masters the basic concepts of robotics. The student is able to search for the necessary information about robotics and understand the operation of sensors. The student is able to use actuators.

Assessment criteria, good (3)

The student is able to technically define the hardware and software functions of a robot. The student is able to design a hardware platform and implement ( programming ) a robot system and related software intelligence.

Assessment criteria, excellent (5)

The student is able to define, design, implement and test a robot system. Can use sensors and actuators in the robot in an advanced way. Able to develop the robot and its functions on its own

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