TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF MEDICAL SCIENCES |
| BIOSTATISTICS (MEDICINE) (MASTER) (WITHOUT THESIS) (EVENING EDUCATION) | |
| Code | BIST530 |
| Name | Mid-term project course |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 0-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 0 National Credit |
| Teaching Language | Türkçe |
| Level | Lisansüstü Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜLŞAH SEYDAOĞLU |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
The aim of this course is to enable students to independently work on an applied health-related problem, produce a data-driven project using the knowledge and skills acquired throughout the program, and present the results in the form of a scientific report.
Course Content
In this course, students conduct a practice-oriented term project based on a health-related problem of their choice. The process includes defining a research question, selecting appropriate methods and data sets, performing data analysis, interpreting findings, and preparing a written scientific report. The course is conducted under advisor supervision, individually or in small groups.
Course Precondition
No prerequisites. (Completion of most program courses is recommended.)
Resources
Project guidelines provided by the advisor Previously published applied health research examples Course notes from statistics and research methods courses taken in the program
Notes
WHO and national health data sets Open-access health statistics databases (e.g., OECD, national statistics institutes) Recent peer-reviewed scientific articles
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Define an applied problem related to health sciences. |
| LO02 | Select appropriate research methods and data sets aligned with the problem. |
| LO03 | Perform suitable statistical analyses. |
| LO04 | Interpret analytical results within a scientific and clinical context. |
| LO05 | Conduct the project in accordance with ethical principles. |
| LO06 | Prepare findings in a scientific report format. |
| LO07 | Present project outcomes orally and/or in written form. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain basic biostatistics, probability, and demographic concepts used in health sciences. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Define research designs, sampling methods, and data types used in health research. | 2 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain the foundations of statistical approaches used in healthcare decision-making processes. | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Explain the basic logic of regression, modeling, and advanced statistical methods used in health sciences. | 1 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Analyze and interpret data obtained from health research using appropriate statistical methods. | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Perform statistical analyses and generate outputs using statistical software packages. | 3 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Apply basic data science, artificial intelligence, and machine learning applications in health sciences. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Evaluate multiple regression and survival analysis results in a clinical context. | |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Analyze genetic and biomedical data using basic analytical approaches. | |
| PLO10 | Beceriler - Bilişsel, Uygulamalı | Apply scale development, validity, and reliability analyses. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Conduct data analysis and reporting within the scope of a term project. | 5 |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Apply and manage sampling procedures in health studies. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Critically evaluate scientific studies from a statistical perspective. | 3 |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Present analysis results in accordance with ethical principles. | 4 |
| PLO15 | Yetkinlikler - Alana Özgü Yetkinlik | Applies fundamental concepts of epidemiology and health statistics to clinical and field settings. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Course introduction, project scope and expectations | Reading | Öğretim Yöntemleri: Soru-Cevap, Tartışma |
| 2 | Selection of project topic | Reading | Öğretim Yöntemleri: Tartışma, Soru-Cevap |
| 3 | Formulation of research question and objectives | Reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Selection of data sources and methods | Reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 5 | Preparation of project plan | Reading | Öğretim Yöntemleri: Tartışma, Beyin Fırtınası |
| 6 | Data cleaning and preliminary analysis | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Tartışma |
| 7 | Determination of appropriate statistical analyses | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
| 9 | Data analysis | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 10 | Interpretation of findings | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 11 | Introduction to report writing | Reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 12 | Reporting of results | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Tartışma |
| 13 | Finalization of project report | Reading | Öğretim Yöntemleri: Tartışma, Alıştırma ve Uygulama, Soru-Cevap |
| 14 | Project presentations and overall evaluation I | Reading | Öğretim Yöntemleri: Tartışma, Soru-Cevap, Alıştırma ve Uygulama |
| 15 | Project presentations and overall evaluation II | Reading | Öğretim Yöntemleri: Tartışma, Soru-Cevap, Alıştırma ve Uygulama |
| 16 | Term Exams | Ölçme Yöntemleri: Proje / Tasarım |
|
| 17 | Term Exams | Ölçme Yöntemleri: Proje / Tasarım |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 1 | 14 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 50 | 50 |
| Mid-term Exams (Written, Oral, etc.) | 0 | 0 | 0 |
| Final Exam | 0 | 0 | 0 |
| Total Workload (Hour) | 134 | ||
| Total Workload / 25 (h) | 5,36 | ||
| ECTS | 5 ECTS | ||