Machine sensing projectLaajuus (5 cr)
Code: INS24IS06
Credits
5 op
Objective
To participate in and complete a project in some area of the industrial automation process. The student group will learn to identify and describe the problem/task, and to plan, propose and implement a solution approach, as well as evaluate and assess the result and report on the findings.
Knowledge and understanding
After completing the course, the student should be able to:
- identify and explain the problem/task and a possible solution approach
- discuss and compare different solution approaches
Skills and abilities
After completing the course, the student should be able to:
- propose and plan possible solution approaches
- create an intelligent system for automation
- apply and experiment with different techniques
Evaluation ability and approach
After completing the course, the student should be able to:
- report on and present the findings of the project
- evaluate and assess the project result
- propose possible improvements
Content
The explicit theme of the course can vary from year to year. Examples of possible projects:
• use machine sound for anomaly detection and predictive purposes.
• apply machine vision for intelligent decision making.
• project related to intelligent forecasting.
Qualifications
No prerequisites.
Assessment criteria, satisfactory (1)
Grade 1: Satisfactory skills in the project work
Assessment criteria, good (3)
Grade 3: Good skills in the project work
Assessment criteria, excellent (5)
Grade 5: Excellent skills in the project work
Materials
The study material will be provided by the lecturer.
Enrollment
02.12.2024 - 31.12.2024
Timing
01.04.2025 - 15.06.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Faculty of Technology and Seafaring
Campus
Vasa, Wolffskavägen 33
Teaching languages
- English
Degree programmes
- Degree Programme in Intelligent Systems
Teachers
- Joachim Böling
- Ray Pörn
Teacher in charge
Ray Pörn
Groups
-
IS24H-VIntelligent Systems, 2024, part-time studies
Objective
To participate in and complete a project in some area of the industrial automation process. The student group will learn to identify and describe the problem/task, and to plan, propose and implement a solution approach, as well as evaluate and assess the result and report on the findings.
Knowledge and understanding
After completing the course, the student should be able to:
- identify and explain the problem/task and a possible solution approach
- discuss and compare different solution approaches
Skills and abilities
After completing the course, the student should be able to:
- propose and plan possible solution approaches
- create an intelligent system for automation
- apply and experiment with different techniques
Evaluation ability and approach
After completing the course, the student should be able to:
- report on and present the findings of the project
- evaluate and assess the project result
- propose possible improvements
Content
The explicit theme of the course can vary from year to year. Examples of possible projects:
• use machine sound for anomaly detection and predictive purposes.
• apply machine vision for intelligent decision making.
• project related to intelligent forecasting.
Materials
The study material will be provided by the lecturer.
Evaluation scale
H-5
Assessment criteria, satisfactory (1)
Grade 1: Satisfactory skills in the project work
Assessment criteria, good (3)
Grade 3: Good skills in the project work
Assessment criteria, excellent (5)
Grade 5: Excellent skills in the project work
Qualifications
No prerequisites.