TVS108 -

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 TVS108
Name -
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 Öğr. Gör. AZİZE BATUN
Course Instructor Öğr. Gör. Dr. ADNAN GÖKTEN (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

This course aims to provide skills in identifying, using, and managing various Database Management Systems used for storing and effectively accessing data.

Course Content

The concept of a database, file systems, fundamental database concepts, data models, data independence, data polyhedron, classifications of database management systems, elements constituting databases, relational databases, database design and optimization, structured query language (SQL), and database applications with MS Access.

Course Precondition

None

Resources

Lecturer's lecture notes, PowerPoint presentations

Notes

Lecturer's lecture notes, PowerPoint presentations


Course Learning Outcomes

Order Course Learning Outcomes
LO01 He/She is familiar with database management systems.
LO02 Understands the relational database model.
LO03 Can use SQL language at a basic level.
LO04 We can improve performance by optimizing databases.
LO05 They can design and manage databases.
LO06 It recognizes different database management 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. 3
PLO03 Belirsiz Analyzes the processing, storage and sharing of health data 5
PLO04 Belirsiz Summarizes the structure and function of health information systems. 4
PLO05 Belirsiz Evaluates the effects of digitalization in healthcare. 4


Week Plan

Week Topic Preparation Methods
1 Introduction to database management systems, file systems. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
2 Basic concepts related to databases Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Data models, data independence, data polyhedronism Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Database management system classifications, the elements that make up databases. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Relational databases Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Database security Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Database design Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Ölçme Yöntemleri:
Yazılı Sınav
9 Database normalization and performance improvement. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
10 Structured Query Language (SQL), creating, editing, and deleting databases and tables with SQL. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
11 Listing, adding, updating, and deleting records using SQL. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
12 Introduction to MS Access, data types used in MS Access, creating databases and tables in MS Access. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 How to configure table field properties in MS Access, create primary and secondary keys. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Defining one-to-one, one-to-many, and many-to-many relationships between tables in MS Access. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Review of the topic, question and answer, discussion. Lecture notes Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
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 2 28
Assesment Related Works
Homeworks, Projects, Others 4 2 8
Mid-term Exams (Written, Oral, etc.) 1 1 1
Final Exam 1 1 1
Total Workload (Hour) 66
Total Workload / 25 (h) 2,64
ECTS 3 ECTS

Update Time: 22.01.2026 01:54