TÜRKÇE
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Information
| Code | BİS710 |
| Name | Special Area Course |
| Term | 2024-2025 Academic Year |
| Term | Fall and Spring |
| Duration (T+A) | 5-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 5 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Uzmanlik Alan |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GÜLŞAH SEYDAOĞLU |
| Course Instructor |
Doç. Dr. YAŞAR SERTDEMİR
(A Group)
(Ins. in Charge)
Prof. Dr. GÜLŞAH SEYDAOĞLU (B Group) (Ins. in Charge) Doç. Dr. İLKER ÜNAL (C Group) (Ins. in Charge) Dr. Öğr. Üyesi Yusuf Kemal ARSLAN (D Group) (Ins. in Charge) |
Course Goal / Objective
This course, which blends theoretical knowledge with practical applications, enables students to follow current developments in related fields and to develop the necessary methodological tools to conduct academic research.
Course Content
This course aims to provide students with in-depth knowledge and skills in the specialty area of biostatistics. The course content includes students working one-on-one with their advisors to develop projects specific to their area of specialization.
Course Precondition
There are no specific prerequisites for the course.
Resources
Department documents-notes
Notes
Department documents-notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Biyoistatistik alanında araştırma yapma ve özgün proje geliştirme becerileri kazanır. |
| LO02 | Güncel literatürü analiz eder. |
| LO03 | Teorik bilgi birikimlerini artırarak, alanlarındaki profesyonel ve akademik kariyerlerine katkı sağlayacak yetkinlikler kazanır. |
| LO04 | Prepares a thesis proposal |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Students explain demographic terminologies and statistical methods in the field of health sciences. | 2 |
| PLO03 | Beceriler - Bilişsel, Uygulamalı | Students understand and use medical terminology. | |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Students collect data from research studies, analyze, and make inferences | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Students knows the system of international classification of diseases, obtain and analyze hospital statistics. | 4 |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Students design scientific research studies in order to give response to the problem arising from health and clinical sciences | 2 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Students select the appropriate statistical procedure for analysis , apply and make inferences. | 3 |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Students use the necessary statistical packages for analysis, if necessary write and develop software. | 3 |
| PLO09 | Beceriler - Bilişsel, Uygulamalı | Students follow the latest development in medical informatics and employ frequently used tools and methods. | |
| PLO10 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Students design health survey, determine the sampling method and conduct the survey | 4 |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. | 3 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence | 3 |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. | 3 |
| PLO14 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. | 4 |
| PLO15 | Yetkinlikler - Alana Özgü Yetkinlik | Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test. | 5 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Health Data | Reading | Öğretim Yöntemleri: Tartışma |
| 2 | Data Collection and Sampling I | data collection | Öğretim Yöntemleri: Tartışma |
| 3 | Data Collection and Sampling II | data collection | Öğretim Yöntemleri: Tartışma |
| 4 | Basic Data Analysis Techniques I | analysis | Öğretim Yöntemleri: Tartışma |
| 5 | Basic Data Analysis Techniques II | analysis | Öğretim Yöntemleri: Tartışma, Soru-Cevap |
| 6 | Research Design I | reading | Öğretim Yöntemleri: Tartışma, Soru-Cevap |
| 7 | Research Design II | reading | Öğretim Yöntemleri: Tartışma, Soru-Cevap |
| 8 | Mid-Term Exam | Ölçme Yöntemleri: Proje / Tasarım |
|
| 9 | Introduction to Advanced Statistical Methods | Reading | Öğretim Yöntemleri: Tartışma |
| 10 | Advanced Statistical Methods | Reading | Öğretim Yöntemleri: Tartışma |
| 11 | Literature Analysis | Reading | Öğretim Yöntemleri: Tartışma |
| 12 | Creating a project | Reading | Öğretim Yöntemleri: Proje Temelli Öğrenme |
| 13 | Project Progress | reading | Öğretim Yöntemleri: Proje Temelli Öğrenme |
| 14 | Project Progress II | Reading | Öğretim Yöntemleri: Proje Temelli Öğrenme |
| 15 | Project Progress III | Reading | Öğretim Yöntemleri: Proje Temelli Öğrenme |
| 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 | 5 | 70 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 10 | 10 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 2 | 2 |
| Final Exam | 1 | 2 | 2 |
| Total Workload (Hour) | 126 | ||
| Total Workload / 25 (h) | 5,04 | ||
| ECTS | 5 ECTS | ||