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Information
| Unit | INSTITUTE OF MEDICAL SCIENCES |
| BIOSTATISTICS (MEDICINE) (MASTER) (WITHOUT THESIS) (EVENING EDUCATION) | |
| Code | BIST517 |
| Name | Biostatistics with Software Packages |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 2-2 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisansüstü Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Dr. Öğr. Üyesi Yusuf Kemal ARSLAN |
| Course Instructor |
Doç. Dr. YAŞAR SERTDEMİR
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to enable students to effectively use statistical software packages in health research, select and apply appropriate analytical methods, and clearly report statistical results in a scientific manner.
Course Content
This course focuses on performing data analysis using statistical software packages commonly used in health sciences (e.g., SPSS). Topics include data entry and management, descriptive statistics, graphical displays, parametric and non-parametric tests, correlation, basic regression, and reporting results using tables and graphs. The course is conducted in a hands-on manner using health-related datasets.
Course Precondition
No prerequisites. (Completion of Basic Concepts in Biostatistics is recommended.)
Resources
Özdamar, K. Paket Programlar ile İstatistiksel Veri Analizi Field, A. Discovering Statistics Using SPSS
Notes
Open-access health datasets Recent applied biostatistics articles
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain the basic interface and functions of statistical software packages. |
| LO02 | Enter, manage, and organize health-related data using software packages. |
| LO03 | Calculate and interpret descriptive statistics using statistical software. |
| LO04 | Apply appropriate parametric and non-parametric tests. |
| LO05 | Perform and interpret correlation and basic regression analyses. |
| LO06 | Report analysis results using tables and graphical outputs. |
| LO07 | Evaluate statistical outputs within a scientific and clinical context. |
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. | 2 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Define research designs, sampling methods, and data types used in health research. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Explain the foundations of statistical approaches used in healthcare decision-making processes. | |
| PLO04 | Bilgi - Kuramsal, Olgusal | Explain the basic logic of regression, modeling, and advanced statistical methods used in health sciences. | |
| 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. | 5 |
| 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. | 3 |
| 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. | 2 |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Present analysis results in accordance with ethical principles. | 2 |
| PLO15 | Yetkinlikler - Alana Özgü Yetkinlik | Applies fundamental concepts of epidemiology and health statistics to clinical and field settings. | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Course introduction; introduction to statistical software packages | Reading | Öğretim Yöntemleri: Anlatım |
| 2 | Data entry and data management | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 3 | Descriptive statistics | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 4 | Graphs and visualization | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 5 | Parametric tests (t-test, ANOVA) | Reading | Öğretim Yöntemleri: Anlatım |
| 6 | Non-parametric tests | Reading | Öğretim Yöntemleri: Anlatım |
| 7 | Correlation analysis | Reading | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
| 9 | Simple linear regression | Reading | Öğretim Yöntemleri: Anlatım |
| 10 | Interpretation of outputs | Reading | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 11 | Applications using health datasets I | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap |
| 12 | Applications using health datasets II | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Soru-Cevap |
| 13 | Reporting statistical results I | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Tartışma |
| 14 | Reporting statistical results II | Reading | Öğretim Yöntemleri: Alıştırma ve Uygulama, Tartışma |
| 15 | General review and evaluation | Reading | Öğretim Yöntemleri: Soru-Cevap |
| 16 | Term Exams | Ölçme Yöntemleri: Ödev |
|
| 17 | Term Exams | Ölçme Yöntemleri: Ödev |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 15 | 15 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 15 | 15 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||