Academic Curriculum by semesters

* Lesson and practice

• First Year

  Fall semester

  • Physical aspects in medicine I *
  • Calculus for digital health *
  • Introduction to cell biology
  • General and analytical chemistry *
  • Discrete mathematics for digital health *
  • Introduction to scientific research – data collecting and analyzing
  • Preparation workshop in research and development in clinical environment
  • Introduction to programming in Python

  Spring semester

  • Physical aspects in medicine II *
  • Introduction to probability for digital health *
  • Algebra for digital health *
  • Physical chemistry *
  • Organic chemistry I *
  • Data structures and algorithms *
  • Introduction to genetics

• Second Year

  Fall semester

  • Organic chemistry II *
  • Biochemistry *
  • Introduction to statistics for digital health *
  • Introduction to artificial intelligence *
  • Introduction to Digital Medicine Statistics *
  • Bio-medical databases *

  Spring semester

  • Preparation workshop for the final project
  • Programing in changing environments *
  • Cellular processes
  • Molecular biology *
  • Data warehouses and clinical business intelligence *
  • Epidemiology and bio-medical data driven research *
  • Machine learning

• Third Year

  • Specialization in medical sciences

    Fall semester

    • R&D - Research and development – project
    • Information retrieval and data mining *
    • Introduction to medical microbiology
    • Cell physiology and neurophysiology *
    • Doctor-patient discourse in the digital age
    • Psychological aspects of illness and disability
    • Introduction to neuroscience and cognition
    • Elective courses

    Spring semester

    • R&D - Research and development – project
    • Systemic Anatomy and Physiology *
    • Drug therapy in the digital age
    • Epidemiology and bio-medical data driven research
    • Developing technologies for the third and fourth age people within a Living Lab
    • Decision making and analysis in medicine
    • Elective courses

  • Specialization in Information technology

    Fall semester

    • R&D - Research and development – project
    • Retrieving and data mining *
    • Introduction to Medical Microbiology
    • Cellular physiology and neurophysiology *
    • Visualization of bio-medical data
    • Seminar in healthcare informatics
    • Big bio-medical data
    • Elective courses

    Spring semester

    • R&D - Research and development – project
    • Introduction to natural language processing
    • Deep learning applications in medical imaging
    • Data communication and information security *
    • Cloud computing
    • Elective courses

• Cyberspace: The Dark Side of Technology Wearable Computing
• Laboratory in medical applications for mobile devices
• Social Robots
• Biomimicry
• APRAN (multi-casualty surprise events) in the digital age
• BrainZone: Multi-disciplinary entrepreneurship program
• Analysis of social networks
• Introduction to Toxicology
• Aspects of development and intelligent use of drugs
• Introduction to Medical Imaging
• Issues in bioethics
• Advanced technologies in genetics
• Entrepreneurs and social initiatives in the field of health
• Culinary chemistry and aspects of nutrition
• Social Health