TVZ209 Big Data and Cloud Systems in Healthcare

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

Information

Unit ABDİ SÜTCÜ HEALTH SERVICES VOCATIONAL SCHOOL
MEDICAL DATA PROCESSING TECHNICIAN PR.
Code TVZ209
Name Big Data and Cloud Systems in Healthcare
Term 2026-2027 Academic Year
Semester 3. Semester
Duration (T+A) 2-0 (T-A) (17 Week)
ECTS 2 ECTS
National Credit 2 National Credit
Teaching Language Türkçe
Level Belirsiz
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Yüksekokul Sekreteri MUSTAFA ÇALKAMIŞ
Course Instructor
The current term course schedule has not been prepared yet.


Course Goal / Objective

Analyzing health data from a big data perspective, designing and managing cloud-based health information systems, and developing digital solutions that comply with data security and ethical guidelines.

Course Content

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

Course Precondition

None

Resources

lecture notes

Notes

lecture notes


Course Learning Outcomes

Order Course Learning Outcomes
LO01 It defines the concept of big data and its applications in healthcare.
LO02 It explains cloud computing architecture and its role in healthcare data management.
LO03 It analyzes the storage and access of health data in the cloud.
LO04 It applies big data analysis techniques to health data.
LO05 It 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 - Analyzes the processing, storage and sharing of health data 4
PLO04 - Summarizes the structure and function of health information systems.
PLO05 - Evaluates the effects of digitalization in healthcare. 3


Week Plan

Week Topic Preparation Methods
1 Büyük veri (big data) kavramına giriş Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Big data sources in healthcare. Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
3 Introduction to cloud computing technologies. Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
4 Storing health data in the cloud. Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
5 Cloud computing architectures (SaaS, IaaS, PaaS) Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
6 Big data analytics tools and platforms Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
7 Real-time data analysis systems Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Security and privacy of health data. Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Tartışma
10 Cloud data access management and encryption. Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
11 Legal regulations: KVKK (Turkish Personal Data Protection Law), HIPAA (Hispanic Rights Association) Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
12 Big data strategies in healthcare organizations Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
13 Case analysis: Patient monitoring with big data. Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Alıştırma ve Uygulama
14 Project presentations and overall evaluation. Reviewing lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap
15 General assessment Reviewing lecture notes Öğretim Yöntemleri:
Soru-Cevap
16 Term Exams Ölçme Yöntemleri:
Yazılı Sınav
17 Term Exams 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 1 14
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 1 1
Final Exam 1 1 1
Total Workload (Hour) 44
Total Workload / 25 (h) 1,76
ECTS 2 ECTS

Update Time: 28.04.2026 02:01