e-Health

Објавено: October 12, 2018
  1.    Course Title e-Health
  2.    Code 3ФЕИТ10Л015
  3.    Study program TKII
  4.    Organizer of the study program (unit, institute, department) Faculty of Electrical Engineering and Information Technologies
  5.    Degree (first, second, third cycle) First cycle
  6.    Academic year/semester IV/8   7.    Number of ECTS credits 6.00
  8.    Lecturer Dr Vladimir Atanasovski, Dr Valentin Rakovikj
  9.    Course Prerequisites

10.    Course Goals (acquired competencies):  Knowledge of IoT network concepts relevant to e-Health. Data Collection Techniques (BAN, Multi-Sensor Solutions, Intelligent Devices, Invasive and Non-Invasive Methods) and Big-Data aspects. Analysis and design of solutions in eHealth. Elements of ICT infrastructures in e-Health and communications in the cloud. Ability to develop new services and applications in eHealth.

11.    Course Syllabus: Introduction. Global e-Health and health information systems. Ethics and Legislation in eHealth. Telemedicine. m-Health (mHealth). Use of ICT solutions for dealing with clinical data. Representation and processing of health data. Aspects of BigData. Types of data. User-oriented design and development of applications and services in e-Health. Business Aspects in e-Health. Generic problems. Future solutions.

12.    Learning methods:  Lectures, auditory and laboratory exercises, independent work on project tasks and preparation of seminar work, visiting relevant companies and invited lectures by experts from the ICT sector.
13.    Total number of course hours 3 + 1 + 1 + 0
14.    Distribution of course hours 180
15.    Forms of teaching 15.1. Lectures-theoretical teaching 45
15.2. Exercises (laboratory, practice classes), seminars, teamwork 30
16.    Other course activities 16.1. Projects, seminar papers 30
16.2. Individual tasks 30
16.3. Homework and self-learning 45
17.    Grading 17.1. Exams 20
17.2. Seminar work/project (presentation: written and oral) 20
17.3. Activity and participation 10
17.4. Final exam 50
18.    Grading criteria (points) up to 50 points     5 (five) (F)
from 51 to 60 points     6 (six) (E)
from 61 to 70 points     7 (seven) (D)
from 71 to 80 points     8 (eight) (C)
from 81 to 90 points     9 (nine) (B)
from 91 to 100 points   10 (ten) (A)
19.    Conditions for acquiring teacher’s signature and for taking final exam Regular attendance at the teaching and auditory exercises and fully developed laboratory exercises.
20.    Forms of assessment Two partial exams during the semester (in the middle and in the end of the semester) with a duration of 120 minutes each or one full exam in a corresponding exam session with a duration of 120 minutes. Usage of books, hand-written materials or any kind of supplementary text book during the exam is not allowed, only a calculator is allowed
21.    Language Macedonian and English
22.    Method of monitoring of teaching quality Internal evaluation and surveys.
23.    Literature
23.1. Required Literature
No. Author Title Publisher Year
1 L.Gavrilovska,S.Krco,V.Milutinovic, I. Stojmenovic, R. Trobec Application and Multidisciplinary Aspects of Wireless Sensor networks: concepts, integration and case studies Springer 2011
2 R. Armentano, R. Singh Bhadoria, P. Chatterjee, G. Chandra Deka The Internet of Things: Foundation for Smart Cities, eHealth and Ubiquitous Computing CRC Press 2017
3 J. Tan Healthcare Information Systems and Informatics: Research and Practices: Research and Practices IGI Global 2008