Courses

COURSE LAUNCH: Decoding Life Signals: Innivations on Biomedical Engineering 2025 Begins!

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The Signal, Image Processing and Pattern Recognition Research Group (SIPPRE) is excited to announce the commencement of our EUNICE course “Decoding Life Signals: Innovations in Biomedical Engineering.”

We’re thrilled to welcome 23 talented students from Italy, Portugal, Germany, Ukraine, Poland, Spain and Greece to this innovative program. The international diversity of our cohort promises to bring unique perspectives and collaborative opportunities to our biomedical signal processing journey.

Starting this February, our students will:
– Master real-time biosignal acquisition and analysis
– Develop brain-computer interfaces
– Apply machine learning in healthcare
– Collaborate on international projects

First Lecture: 17/2/2025
Follow our progress and student achievements throughout the semester!

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New Course – Decoding Life Signals: Innovations in Biomedical Engineering

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We are excited to announce a new course, “Decoding Life Signals: Innovations in Biomedical Engineering,” offered by Prof. Athanasios Koutras, Dr. Nyi Nyi Tun, and Dionysios Anyfantis, through the EUNICE European University Alliance.

About EUNICE

EUNICE (European University for Customized Education) is a prestigious alliance of nine universities across Europe, designed to foster innovation, interdisciplinary learning, and international collaboration. EUNICE aims to create a unified academic environment, offering students diverse opportunities to engage in cutting-edge courses, such as this one, that address global challenges and drive impactful research.

Course Highlights

This interdisciplinary course explores the fascinating world of biomedical signals (EEG, ECG, EMG) and provides a blend of theoretical and practical knowledge:

  • Data Analysis and Machine Learning: Process, analyze, and visualize biomedical data using tools like Python and MNE-Python.
  • Real-World Applications: Investigate applications in healthcare, such as Brain-Computer Interfaces (BCIs) and neural signal processing.
  • Project-Based Learning: Develop hands-on experience through projects tackling real-world biomedical challenges.
  • Expert Guidance: Learn from distinguished faculty and guest lecturers, bringing expertise from both academia and industry.

Course Details

  • Language of Instruction: English
  • Delivery Mode: Online, live sessions with practical exercises and collaborative projects.
  • Duration: February to May 2025 (12 weeks)
  • Eligibility: Open to Bachelor’s and Master’s students across EUNICE partner universities, with interest or background in Python programming and biomedical signal processing.

Additional Features

  • Live Demonstrations: Practical sessions with OpenBCI and EmotiBit, showcasing EEG and physiological signal acquisition techniques.
  • International Collaboration: Work in teams with students from various EUNICE universities, fostering global connections and interdisciplinary learning.
  • Resources: Access all course materials, including lecture notes, projects, and tools, through the SIPPRE Lab’s repository and GitHub page.

Join us in this unique opportunity to explore the cutting-edge intersection of technology and healthcare while benefiting from EUNICE’s commitment to international collaboration and quality education.

For enrollment details, visit the EUNICE website at EUNICE Courses or contact Prof. Athanasios Koutras at koutras@uop.gr.

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