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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-V
    Intelligent 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.