Artificial Intelligence in industrial applications (5cr)
Code: 8I00CH58-3001
General information
- Enrollment
- 01.08.2019 - 10.05.2020
- Registration for the implementation has ended.
- Timing
- 10.02.2020 - 17.05.2020
- Implementation has ended.
- Number of ECTS credits allocated
- 3 - 5
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Teaching languages
- Finnish
- Teachers
- Pasi Mikkonen
- Course
- 8I00CH58
Objective
Student understands the principles of machine learning and neural networks methods. The student can apply the machine learning methods in applications of automation technology.
Content
- Introduction to artificial intelligence and machine learning
- Linear regression
- Logistic regression
- Neural networks
- Clustering
- Main component analysis
- Machine learning applications in industrial automation and technology
- Machine learning in machine vision systems
Materials
to be announced
Teaching methods
lectures and exercises
Student workload
81-135 h
Assessment criteria, satisfactory (1)
Student knows the concept of machine learning. Student can apply basic machine learning methods.
Assessment criteria, good (3)
Student understands the principles of machine learning and neural networks methods. Student can apply various machine learning methods.
Assessment criteria, excellent (5)
Student understands the principles of machine learning and neural networks methods. Student can choose the best machine learning method for the application and can apply it.
Qualifications
- Linear algebra and matrix calculation
- Basics of programming