Teaching
We teach master’s degree courses, in the field of Automatic Control and Robotics at the specialization Robots and Autonomous Systems. Check out more at: https://risa.put.poznan.pl/.
Courses
Introduction to Image Processing (PL)
Automatic control and robotics (bechelor degree, 5 semester)
Content: (available online)
- Basics of image processing using OpenCV in Python language
- Classical image processing methods
- Use knowledge in: camera calibration, lighting methods, color influence and industrial system
- Application of programming knowledge in sensors: depth camera, thermal imaging camera, AI camera
Introduction to Computer Vision (PL)
Automatic control and robotics (master degree, 1 semester)
Content:
- Basic knowledge of image processing methods and vision systems
- Local, contextual, and shape- and feature-based algorithms
- OpenCV library in Python
Selected topics of machine learning (PL)
Automatic control and robotics (master degree, 1 semester)
Content:
- Basic knowledge of machine learning: tasks, algorithms, their characteristics and applications
- Classical methods based on Scikit-learn
Advanced image processing (PL)
Automatic control and robotics (master degree, 2 semester)
Content:
- Architectures of sample neural networks for image recognition
- How are deep neural networks learned?
- What are the modern approaches depending on the task?
- ML frameworks in Python, like: PyTorch, TensorFlow, Keras
Embedded systems and edge processing (PL)
Automatic control and robotics (master degree, 3 semester)
Content: (available online)
- Architectures of embedded systems and ways of edge processing
- How to speed up computing?
- What is TinyML and what is EDGE AI?