TVS106 Big Data and Cloud Systems in Healthcare

3 ECTS - 2-0 Duration (T+A)- 2. Semester- 2 National Credit

Information

Unit ABDİ SÜTCÜ HEALTH SERVICES VOCATIONAL SCHOOL
MEDICAL DATA PROCESSING TECHNICIAN PR.
Code TVS106
Name Big Data and Cloud Systems in Healthcare
Term 2025-2026 Academic Year
Semester 2. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 3 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. ŞULE SULTAN MENZİLETOĞLU YILDIZ
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

This course covers the role of the concept of big data in healthcare and its integration with cloud computing technologies.

Course Content

This course covers the role of big data in healthcare and its integration with cloud computing technologies. Big data sources, data storage, analysis methods, the architecture of cloud-based systems, and data management strategies in healthcare organizations are discussed. Data security, privacy, ethics, and legal regulations are also reviewed.

Course Precondition

None

Resources

Lecture notes to be given by the instructor

Notes

Lecture notes to be given by the instructor


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains cloud computing architecture and its role in health data management.
LO02 Define the concept of big data and its uses in healthcare
LO03 Analyzes the storage and access of health data in the cloud environment.
LO04 Applies big data analysis techniques on health data.
LO05 Evaluates the importance of security and privacy in cloud and big data systems.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Defines the concept of health informatics.
PLO02 Bilgi - Kuramsal, Olgusal Explains the types and sources of health data.
PLO03 Belirsiz Analyzes the processing, storage and sharing of health data 5
PLO04 Belirsiz Summarizes the structure and function of health information systems.
PLO05 Belirsiz Evaluates the effects of digitalization in healthcare. 3


Week Plan

Week Topic Preparation Methods
1 Introduction to the concept of big data Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Big data sources in health Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Introduction to cloud computing technologies Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Storing health data in the cloud Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Cloud computing architectures (SaaS, IaaS, PaaS) Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Big data analytics tools and platforms Lucture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Real-time data analysis systems Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Lucture Notes Ölçme Yöntemleri:
Yazılı Sınav
9 Security and privacy of health data Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
10 Data access management and encryption in the cloud Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 Legal regulations: KVKK, HIPAA Lucture Notes Öğretim Yöntemleri:
Soru-Cevap, Anlatım
12 Big data strategies in healthcare organizations Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Case study: Patient monitoring with big data Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
14 Project presentations and general evaluation Lucture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 project lecture Notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Beyin Fırtınası
16 Term Exams Lucture Notes Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams Lucture Notes Ölçme Yöntemleri:
Yazılı Sınav


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 2 28
Out of Class Study (Preliminary Work, Practice) 14 0 0
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 10 10
Final Exam 1 28 28
Total Workload (Hour) 66
Total Workload / 25 (h) 2,64
ECTS 3 ECTS

Update Time: 25.08.2025 11:06