Mathematics, programming techniques and design principles of medical information systems

Course Information
TitleΜαθηματικές και προγραμματιστικές τεχνικές ανάλυσης και σχεδιασμός πληροφορικών ιατρικών συστημάτων / Mathematics, programming techniques and design principles of medical information systems
Interdepartmental ProgrammeDtPMS Iatrikī Plīroforikī (2015-2017)
Collaborating SchoolsMedicine
Electrical and Computer Engineering
Cycle / Level2nd / Postgraduate
Teaching PeriodWinter/Spring
CoordinatorIoanna Chouvarda
Course ID600004406

Class Information
Academic Year2017 – 2018
Class PeriodWinter
Faculty Instructors
Instructors from Other Categories
Weekly Hours4
Class ID
Course Type 2016-2020
  • Scientific Area
Course Type 2011-2015
Specific Foundation / Core
Mode of Delivery
  • Face to face
Language of Instruction
  • Greek (Instruction, Examination)
  • English (Instruction, Examination)
General Prerequisites
good knowledge of english language, as a big part of the material to be studied is in english
Learning Outcomes
Τarget * To provide students with the necessary tools for understanding issues related to analysis and design of information systems in health * To demonstrate basic techniques that applicable and useful in medical informatics * To establish a framework of modern methods and techniques in medical informatics R&D * To involve students in the discussion / consideration of modern analysis and design problems of health systems Objectives of the course Upon completion of this course , students will be able to: * Make use of appropriate analytical methodologies and design medical information systems * Have the necessary initial familiarisation with the different tools currently used worldwide * Be able to make appropriate use of techniques and tools to develop ( at least simple ) information systems for medical applications * To discuss the requirements for different approaches to analysis & design
General Competences
  • Apply knowledge in practice
  • Retrieve, analyse and synthesise data and information, with the use of necessary technologies
  • Work autonomously
  • Work in an interdisciplinary team
Course Content (Syllabus)
Thematic areas, supported by lectures, labs, and projects --- High level scripting and prototyping: Matlab, R and Python --- Introduction to Software development & UML --- Object oriented programming - JAVA, --- Internet programming
Educational Material Types
  • Notes
  • Slide presentations
Use of Information and Communication Technologies
Use of ICT
  • Use of ICT in Course Teaching
  • Use of ICT in Laboratory Teaching
  • Use of ICT in Communication with Students
  • Use of ICT in Student Assessment
Course Organization
Laboratory Work401.3
Reading Assigment802.7
Written assigments501.7
Student Assessment
Projects in each thematic area completed and marked during the semester, along with a final test
Student Assessment methods
  • Written Exam with Multiple Choice Questions (Summative)
  • Written Assignment (Summative)
  • Performance / Staging (Formative)
  • Labortatory Assignment (Formative)
Course Bibliography (Eudoxus)
δεν προβλέπεται
Additional bibliography for study
ηλεκτρονικό υλικό που αφορά τις επιμέρους τεχνολογίες που διδάσκονται στις θεματικές περιοχές
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