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| Unit | INSTITUTE OF MEDICAL SCIENCES |
| BIOSTATISTICS (MEDICINE) (MASTER) (WITHOUT THESIS) (EVENING EDUCATION) | |
| Code | BIST513 |
| Name | Fundamentals in Biostatistics |
| Term | 2025-2026 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-1 (T-A) (17 Week) |
| ECTS | 7 ECTS |
| National Credit | 3.5 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 |
Dr. Öğr. Üyesi Yusuf Kemal ARSLAN
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to enable students to understand fundamental biostatistical concepts used in health sciences, correctly interpret statistical analysis results, and acquire a foundation for statistical evaluation of scientific studies.
Course Content
This course covers fundamental concepts of biostatistics used in health sciences. Topics include data types and levels of measurement, descriptive statistics, probability concepts, probability distributions, sampling distributions, confidence intervals, hypothesis testing, parametric and non-parametric tests, correlation and basic regression concepts, statistical significance, clinical significance, and interpretation of results in health sciences. Topics are presented using health-related examples.
Course Precondition
There are no prerequisites for this course.
Resources
Rosner, B. Fundamentals of Biostatistics
Notes
Open-access health statistics and learning materials
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explain basic concepts and terminology in biostatistics. |
| LO02 | Distinguish data types and levels of measurement in health data. |
| LO03 | Calculate and interpret descriptive statistics. |
| LO04 | Explain the basic logic of probability and probability distributions. |
| LO05 | Explain the purpose and interpretation of confidence intervals and hypothesis tests. |
| LO06 | Distinguish between parametric and non-parametric tests and interpret their results. |
| LO07 | Interpret correlation and basic regression analyses. |
| LO08 | Evaluate statistical results in terms of clinical significance. |
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. | 5 |
| 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. | 1 |
| 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. | 3 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Perform statistical analyses and generate outputs using statistical software packages. | |
| 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. | |
| 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. | 1 |
| 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 biostatistics | Reading | Öğretim Yöntemleri: Anlatım |
| 2 | Data types and levels of measurement | Reading | Öğretim Yöntemleri: Anlatım |
| 3 | Descriptive statistics | Reading | Öğretim Yöntemleri: Anlatım |
| 4 | Graphs and data visualization | Reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 5 | Probability concepts | Reading | Öğretim Yöntemleri: Anlatım |
| 6 | Probability distributions | Reading | Öğretim Yöntemleri: Anlatım |
| 7 | Sampling distributions | Reading | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Sözlü Sınav |
|
| 9 | Confidence intervals | Reading | Öğretim Yöntemleri: Anlatım |
| 10 | Introduction to hypothesis testing | Reading | Öğretim Yöntemleri: Anlatım |
| 11 | Parametric tests | Reading | Öğretim Yöntemleri: Anlatım |
| 12 | Non-parametric tests | Reading | Öğretim Yöntemleri: Anlatım |
| 13 | Correlation and basic regression | Reading | Öğretim Yöntemleri: Anlatım |
| 14 | General review I | Reading | Öğretim Yöntemleri: Anlatım |
| 15 | General review II | Reading | Öğretim Yöntemleri: Anlatım |
| 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 | 20 | 20 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 20 | 20 |
| Final Exam | 1 | 20 | 20 |
| Total Workload (Hour) | 172 | ||
| Total Workload / 25 (h) | 6,88 | ||
| ECTS | 7 ECTS | ||