2nd Semester

 

BMET.201: Diagnostic Medical Imaging Systems II (Required)

Course code: BMET.201
Course title: Diagnostic Medical Imaging Systems II (Required)
Coordinator: Stratos David, Associate Professor (elected), Department of Biomedical Engineering, University of West Attica, Greece
sdavid@uniwa.gr
Co-teachers: Panagiotis Liaparinos, Professor, Department of Biomedical Engineering, University of West Attica, Greece
liapkin@uniwa.gr
George Fountos,  Professor, Department of Biomedical Engineering, University of West Attica, Greece
gfoun@uniwa.gr
Teaching method: Intensive, within 3-4 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents:

This course studies the fundamental architecture of medical imaging systems that use ionizing radiation. It analyzes the components of Diagnostic Radiology systems (Conventional Radiography, Mammography, and Computed Tomography—CT) and Nuclear Medicine imaging (gamma camera, SPECT, PET). Core concepts include:

    • Interactions of photons (X-rays, gamma rays) and high-energy particles with matter
    • X-ray and radioisotope production methods
    • Types of radioactivity and attenuation in tissues and detectors
    • Specialized X-ray imaging techniques
    • Photon-counting imaging techniques (nuclear imaging detectors, gamma radiation)
      The course includes a laboratory exercise on gamma-photon spectroscopy with a NaI:Tl detector and individual assignments/presentations on contemporary and hybrid imaging methods.
Learning outcomes:

Upon completion, students will:

  1. Understand fundamental interaction mechanisms of photons and high-energy particles with matter.
  2. Gain a comprehensive view of medical imaging systems using ionizing radiation.
  3. Describe and distinguish the subsystems (block diagrams) of a complete imaging system.
  4. Understand principles of operation to compare and evaluate different medical imaging modalities.
  5. Develop research skills through literature review/presentations and hands-on gamma spectroscopy with a NaI:Tl detector, including collaborative activities.
ECTS: 5
Semester: 2nd

 

BMET.202: Biomedical Instrumentation (Required)

Course code: BMET.202
Course title: Biomedical Instrumentation (Required)
Coordinator: Dimitris Glotsos, Professor, Department of Biomedical Engineering, University of West Attica, Greece
dimglo@uniwa.gr
Co-teachers: Erricos Ventouras, Professor, Department of Biomedical Engineering, University of West Attica, Greece
ericvent@uniwa.gr
Klaus Peter Koch, Hochschule Trier, Germany
koch@hochscule-trier.de
Teaching method: Intensive, within 3-4 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents: Focus on the core architecture of selected biomedical systems, with emphasis on biopotential and biosignal acquisition. Topics: sensors, pre-amplification, amplification, analog conditioning and signal processing, A/D conversion, and digital signal handling via microcontrollers/microprocessors, plus user-interface techniques. Students design a complete digital biosignal acquisition system (e.g., temperature, pressure, heart rate), implement it in the lab, collect measurements, and analyze results. Introductory principles of neuromechanics and implant technology are also covered.
 
  1. Develop advanced knowledge in biomedical instrumentation, neuromechanics, and implant technology.
  2. Design and critically analyze complete biomedical systems, assessing performance and proposing improvements.
  3. Solve complex technical problems and optimize biosignal acquisition systems in varied environments.
  4. Design and implement digital systems with microcontrollers/microprocessors, ensuring functionality, safety, and performance.
  5. Program, test, and optimize software for end-to-end biosignal management.
  6. Work autonomously and collaboratively in multidisciplinary settings, contributing to process and know-how improvements.
ECTS: 5
Semester: 2nd

 

BMET.203: Biomedical Engineering and Career Opportunities II (Required)

Course code: BMET.203
Course title: Biomedical Engineering and Career Opportunities II   (Required)
Coordinator: Dimitris Glotsos, Professor, Department of Biomedical Engineering, University of West Attica, Greece
dimglo@uniwa.gr
Co-teachers: Invited colleagues from the industry sector 
Teaching method: Intensive, within 3-4 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents: Industry experts deliver specialized seminars focused on real working conditions, career prospects, and challenges for biomedical engineers, with particular emphasis on strategies to found and grow a startup from scratch.
Learning outcomes:
  1. Attain in-depth understanding of roles and applications of biomedical engineering in the job market, evaluating career paths and prospects.
  2. Analyze the field’s interdisciplinarity and its convergence with medicine and technology, assessing contributions to innovative projects and ventures.
  3. Critically evaluate current trends, challenges, and strategies, proposing evidence-based actions for new entrepreneurial initiatives in biomedical engineering.
ECTS: 5
Semester: 2nd

 

BMET.204: Emergency medicine (Elective)

Course code: BMET.204
Course title: Emergency medicine (Elective)
Coordinator: Ioannis Loukos, Deputy Technical Director at EKAB (National Centre of Emergency Care), Greece
ioannisloukos@gmail.com
Co-teachers:
Teaching method: Intensive, within 3 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents: Covers the principles of emergency medicine, patient transport modes, and the medical devices used in prehospital and emergency care. Emphasis on rigorous quality/safety standards and certifications governing such equipment. Students study the strictest operational frameworks for medical devices used in emergency settings.
Learning outcomes:
  1. Achieve a comprehensive understanding of emergency medicine and its supporting medical technology, distinguishing equipment for vital support, patient transport, and extrication.
  2. Differentiate among equipment categories for vital support, transport, and extrication.
  3. Understand European quality and performance standards for emergency medicine, staff/patient safety, and medical devices.
  4. Describe transport and evacuation means (vital support, transfer, extrication) used in emergency medicine.
  5. Understand key aspects of medical evacuation (MEDEVAC) under extreme conditions, including available extrication/stabilization means and supporting devices.
ECTS: 5
Semester: 2nd

 

BMET.205: Control Systems and Human–Machine Interaction in Biomedical Engineering (Elective)

Course code: BMET.205
Course title: Control Systems and Human–Machine Interaction in Biomedical Engineering (Elective)
Coordinator: Irina Andra Tache, Associate Professor, Faculty of Automatic Control and Computers, Politehnica University of Bucharest, Romania
irina.andra@gmail.com
Co-teachers: Luis Pinto Coelho, Professor, Instituto Superior De Engenharia do Porto (ISEP), Politécnico do Porto, Portugal
lnm@isep.ipp.pt
Teaching method: Intensive, within 3 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents: Provides advanced knowledge and skills in control systems and HMI for healthcare. Focus on mathematical modeling of biophysical systems, analysis and design of control systems for physiological regulation, and hands-on implementation using tools such as Arduino. Examines Human–Machine Interaction design principles, innovations (telemedicine, AI), and ethical/regulatory issues, fostering leadership in designing and evaluating health technologies.
Learning outcomes:
  1. Deeply analyze and evaluate fundamentals of control systems and HMI in biomedical engineering.
  2. Independently design mathematical models of biological processes and develop functional digital control systems (e.g., Arduino).
  3. Design and assess health interfaces grounded in usability, accessibility, and user experience.
  4. Apply evaluation methodologies and performance metrics, analyze data, and draw evidence-based conclusions.
  5. Communicate technical concepts and design decisions clearly via reports, presentations, and prototypes to varied audiences.
  6. Manage complex HMI/control projects, improving processes, disseminating knowledge, and driving innovation.
ECTS: 5
Semester: 2nd

 

BMET.206: Bioinformatics (Elective)

Course code: BMET.206
Course title: Bioinformatics (Elective)
Coordinator: Manolis Athanasiadis, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece
mathan@uniwa.gr
Co-teachers: Spiros Kostopoulos, Professor (elected), Department of Biomedical Engineering, University of West Attica, Greece
skostopoulos@uniwa.gr

Minos Matsoukas, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece

Teaching method: Intensive, within 3 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents: Equips students with specialized knowledge to analyze, design, and apply computational methods in biology and medicine. Applications span genomic data analysis, protein structure representation/analysis, systems biology, drug development, and other areas. Emphasis on advanced computational methods for processing, analyzing, and interpreting biological data, and on developing new methods/tools for big-data challenges.
 
  1. Master core bioinformatics concepts for basic and translational research problems.
  2. Develop foundational programming skills in R.
  3. Understand and execute large-omics data analysis at a professional level, selecting appropriate tool parameters.
  4. Build specialized problem-solving skills in computational biology for academia, research centers, and bio/pharma industries.
  5. Develop knowledge-discovery capabilities across large omics databases.
ECTS: 5
Semester: 2nd

 

BMET.207: Medical Signal and Image Processing (Elective)

Course code: BMET.207
Course title: Medical Signal and Image Processing (Elective)
Coordinator: Dionisis Cavouras, Professor Emeritus, Department of Biomedical Engineering, University of West Attica, Greece
cavouras@uniwa.gr
Co-teachers:
Teaching method: Intensive, within 3 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents: Studies methodologies for generating, acquiring, and processing medical signals (e.g., ECG, EMG, EEG) and images (e.g., MRI, CT, Ultrasound, Digital Angiography, Mammography, Nuclear Medicine, Microscopy). Covers data formation and storage, visualization, and processing methods. Algorithms are developed theoretically and implemented programmatically. Students design and implement software systems for acquisition, storage, processing, and analysis using modern libraries.
 
  1. Understand theory and implementation technologies for acquisition, visualization, processing, and analysis of medical signals and images.
  2. Comprehend methods used in modern computational systems for medical imaging and instrumentation.
  3. Distinguish and select appropriate processing/analysis methods for different medical systems.
  4. Implement DSP and image-processing algorithms in code and build complete software systems using modern technologies.
ECTS: 5
Semester: 2nd

 

BMET.208: Biomechanics (Elective)

Course code: BMET.208
Course title: Biomechanics (Elective)
Coordinator: Dimitris Glotsos, Professor, Department of Biomedical Engineering, University of West Attica, Greece
dimglo@uniwa.gr
Co-teachers: Ioannis Loukos, Deputy Technical Director at EKAB (National Centre of Emergency Care), Greece
ioannisloukos@gmail.com
Teaching method: Intensive, within 3 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents: Introduces the fundamentals of biomechanics and their application to analyzing, assessing, and improving human movement, performance, and rehabilitation. Emphasis on mechanical analysis of the musculoskeletal system, forces and motions of the human body, and the use of prosthetic, orthotic, and robotic systems to support or enhance function.
Learning outcomes:

Upon successful completion, students will be able to:

  1. Demonstrate deep understanding of core biomechanics principles and key definitions/concepts.
  2. Describe and distinguish types and applications of prosthetic, orthotic, and robotic systems for upper and lower limbs.
  3. Analyze mechanical forces and motions in the musculoskeletal system and evaluate human performance using quantitative and qualitative methods.
  4. Understand basic robotics principles and human–assistive system interfaces.
  5. Apply ergonomics and kinesiology to assess or improve human function.
  6. Recognize modern rehabilitation technologies and methods, including computational simulations and models.
ECTS: 5
Semester: 2nd

 

BMET.209: Continuum Mechanics of Biological and Physiological Systems (Elective)

Course code: BMET.209
Course title: Continuum Mechanics of Biological and Physiological Systems (Elective)
Coordinator: Evanglia Pantatosaki, Assistant Professor, Department of Biomedical Engineering, University of West Attica, Greece
epantatosaki@uniwa.gr
Co-teachers:
Teaching method: Intensive, within 3 weeks (lectures + on-site visits + project)
Exams: Quiz paper + project assignment + project presentation
Course contents: Studies motion and deformation of materials under the continuum hypothesis in biological/physiological systems. Covers fundamentals of solid and fluid mechanics. Introduces stress/strain in solids and analyzes tissue mechanical response under loads. In cardiovascular mechanics, examines vessel wall structure (healthy/pathological), mechanical behavior, and remodeling. In fluids, introduces viscous stresses and strain rate; formulates integral and differential conservation equations (mass, momentum, energy) for flow analysis. Classifies biological fluids as Newtonian/non-Newtonian and delves into hemodynamics (physiological/pathological flow and vascular models). Extends to the respiratory system (airflow, lung compliance, alveolar deformation, gas exchange across membranes). Emphasizes numerical methods for solving and parametrically analyzing models to design biomedical systems with optimal performance.
  Students will be able to explain stress–strain relationships governing tissue mechanics; analyze tissue responses to applied loads and relate structural remodeling to function; classify biological fluids by rheology; apply conservation equations to flow problems in physiology; and formulate/evaluate models of biological solids/fluids with emphasis on cardiovascular and respiratory mechanics.
ECTS: 5
Semester: 2nd

 

For the successful completion of the MSc program a minimum of ninety (90) ECTS is required, with at least 30 ECTS per semester.

 

For the 1st and 2nd semester, students should successfully complete all Required courses of each semester (Required courses are assigned with 15 ECTS) and select at least three Elective courses (Elective courses are assigned with 5 ECTS each).

 

For the 3rd semester, students should successfully complete the Diploma thesis (Diploma thesis is assigned with 30 ECTS). Guidelines for Diploma Thesis can be found here.


The detailed examination regulation may be found at the Program structure and Internal Regulation document.