Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
4FTR010Health Technologies II2+0+02316.10.2026
Course Details
Language of Instruction Turkish
Level of Course Unit Associate Degree
Department / Program First and Emergency Aid
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The aim is to enable students to identify gait pathologies, distinguish changes observed in pathological gait from normal gait, and
develop comparison skills.
Course Content To define gait pathologies, distinguish changes seen in pathological gait from normal gait, and
develop the ability to compare them.
Classification of gait pathologies
Pathological mechanisms
Gait pathologies in children
Gait pathologies in adults
Course Methods and Techniques Presentation
Discussion
Team/group work
Project Design/Management
Prerequisites and co-requisities None
Course Coordinator None
Name of Lecturers Associate Prof.Dr. Murat Ali ÇINAR muratali.cinar@hku.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Turkish Patent and Trademark Office website, Google Patents, entrepreneur stories
Course Notes Gait, Fatih Erbahçeci; Kezban Bayramlar, Hipokrat
Documents https://www.hipokratkitabevi.com/yuruyushipokrat-kitabevi?srsltid=AfmBOor0GP1uvpOWVd_wW45LwdwhuU9G8NbWGz9B1FbmLkPRY2GwPX7W
Assignments https://www.hipokratkitabevi.com/yuruyushipokrat-kitabevi?srsltid=AfmBOor0GP1uvpOWVd_wW45LwdwhuU9G8NbWGz9B1FbmLkPRY2GwPX7W

Course Category
Health %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Assignment 1 % 50
Final examination 1 % 50
Total
2
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 2 28
Hours for off-the-c.r.stud 14 2 28
Presentation 14 1 14
Mid-terms 1 1 1
Project 14 1 14
Final examination 1 1 1
Total Work Load   Number of ECTS Credits 3 86

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Follows technological developments in the field of health and identifies needs.
2 Gains knowledge about product development in this direction.
3 Acquires the competence to present their ideas.

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Introduction to Health Technologies II Reviewing the course syllabus Lecture slides, course syllabus
2 Introduction to Health Technologies II (continued) Reading sources on current technological developments in healthcare Lecture slides, relevant current articles
3 Data mining, big data and the digital hospital concept Reading sources on big data and digital hospitals in healthcare Lecture slides, relevant current articles
4 Clinical decision support systems Reading sources on clinical decision support systems Lecture slides, relevant current articles
5 Humanoid robots Reading sources on humanoid robot applications in healthcare Lecture slides, relevant current articles
6 Use of artificial intelligence in rehabilitation Reading sources on artificial intelligence applications in rehabilitation Lecture slides, relevant current articles
7 Use of artificial intelligence in surgical methods Reading sources on artificial intelligence and robotic applications in surgery Lecture slides, relevant current articles
8 Use of artificial intelligence in medical imaging Reading sources on artificial intelligence applications in medical imaging Lecture slides, relevant current articles
9 Artificial intelligence in neurological diseases Reading sources on artificial intelligence applications in neurological diseases Lecture slides, relevant current articles
10 Artificial intelligence in neurological diseases Reading sources on artificial intelligence applications in neurological diseases Lecture slides, relevant current articles
11 Artificial intelligence in intensive care Reading sources on artificial intelligence applications in intensive care Lecture slides, relevant current articles
12 Artificial intelligence in psychiatry Reading sources on artificial intelligence applications in psychiatry Lecture slides, relevant current articles
13 Artificial intelligence law and ethics Reading sources on the legal and ethical aspects of artificial intelligence in healthcare Lecture slides, relevant legislation and current articles
14 Artificial intelligence law and ethics Reading sources on the legal and ethical aspects of artificial intelligence in healthcare Lecture slides, relevant legislation and current articles

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10
All 1 1 3 2 5 3 5 1 1
C1 1 1 3 2 5 3 5 1 1
C2 1 1 3 2 5 3 5 1 1
C3 1 1 3 2 5 3 5 1 1

  Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant