*each course has a value of 6 ECTS
Please note that a specific course of study will be opened under the conditions that
the required number of applicants fulfilling the qualification criteria is reached (the minimum number of students to start each course is 7).
or the course will be one of 5-6 most often chosen courses.
or 5 or more students from the same university have the same course in their Learning Agreement and will attend this course in Krakow (we hope, that with students from other universities, the minimum of 7 students will be achieved)
If your require more information about the course availability or contents, please get in touch with Exchange Coordinator at the Faculty: erasmus.ee@pk.edu.pl
Erasmus Coordinator will decide to start one or two additional courses based on results of voting and availability of professors. Minimum of 5-6 incoming exchange students registered on Faculty of Electrical and Computer Engineering should attend the additional course within their limit of 30 ECTS.
Fall Semester
- E-ACM AutoCAD Modeling
- E-AP Arduino Platform
- E-BAC Basics of Automation and Control
- E-CAI Collaboration with AI Chats
- E-CN Computer Networks
- E-CV Computer Vision
- E-DBS Database Systems
- E-EMD Electric Machines and Drives
- E-IA Industrial Automation
- E-IPE Introduction to Prompt Engineering
- E-ML Machine Learning
- E-MP MATLAB Programming
- E-MCP Mitsubishi Controllers Programming
- E-NN Neural Networks – Use and Learning
- E-OOP Object Oriented Programming in C++
- E-PDP Pandas Data Processing
- E-PDS Programmable Digital Systems
- E-PGT Power Generators and Transformers
- E-PJS Programming in JavaScript
- E-PLC PLC – Programmable Logic Controllers
- E-PP Python Programming
- E-WUS VinCC Unified SCADA
Spring Semester
- E-ACM AutoCAD Modeling
- E-AID AI in Databases and Data Analysis
- E-CAI Collaboration with AI Chats
- E-CE Control Engineering
- E-CG Computer Graphics
- E-CN Computer Networks
- E-CV Computer Vision
- E-DSP Digital Signal Processing
- E-E3D Engineering 3D Design
- E-IA Industrial Automation
- E-IAI Introduction to Modern Artificial Intelligence and Machine Learning
- E-IoT Internet of Things (IoT) in Applications
- E-IT Internet Technologies
- E-MCP Mitsubishi Controllers Programming
- E-NN Neural Networks – Use and Learning
- E-PDP Pandas Data Processing
- E-PDS Programmable Digital Systems
- E-PLC PLC – Programmable Logic Controllers
- E-PP Programming in Python
- E-VHDL Hardware Description Language VHDL
- E-VMD Vibroacoustic Machine Diagnostics
- E-WUS VinCC Unified SCADA
