ISB409 Applied Basic Biostatistic

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

Information

Code ISB409
Name Applied Basic Biostatistic
Term 2024-2025 Academic Year
Semester 7. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. GÜLŞAH SEYDAOĞLU
Course Instructor Prof. Dr. GÜLŞAH SEYDAOĞLU (A Group) (Ins. in Charge)


Course Goal / Objective

It is aimed that students gain knowledge and skills in planning, analyzing and interpreting research among different disciplines using biostatistical techniques.

Course Content

By designing a hypothetical research in the field of health, data collection tools of the research will be developed and data entry will be made. The data obtained will be analyzed with the tests used frequently in the field of biostatistics and data presentation will be made.

Course Precondition

No

Resources

Van Belle, G., Fisher, L. D., Heagerty, P. J., & Lumley, T. (2004). Biostatistics: a methodology for the health sciences. John Wiley & Sons.

Notes

Lecture Notes, Biyoistatistik Prof.Dr.Kadir SÜMBÜLOĞLU


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Understands the place and importance of biostatistics in life
LO02 Designs an appropriate research method for obtaining and / or organizing statistical data in the field of health
LO03 Develops appropriate data collection tools in the field of health and make data entry
LO04 Distinguishes the difference between basic hypothesis tests and analyzes through the programs
LO05 Understands statistical analysis methods used in the field of health and interprets the results
LO06 Presents the results verbally and visually using statistical methods
LO07 Creates interdisciplinary studies and produces solutions
LO08 Have social, scientific and ethical principles at the stages of collecting, interpreting and announcing data related to scientific fields in which biostatistics is used


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Explain the essence fundamentals and concepts in the field of Statistics
PLO02 Bilgi - Kuramsal, Olgusal Emphasize the importance of Statistics in life 3
PLO03 Bilgi - Kuramsal, Olgusal Define basic principles and concepts in the field of Law and Economics
PLO04 Bilgi - Kuramsal, Olgusal Produce numeric and statistical solutions in order to overcome the problems
PLO05 Bilgi - Kuramsal, Olgusal Use proper methods and techniques to gather and/or to arrange the data 5
PLO06 Bilgi - Kuramsal, Olgusal Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization
PLO07 Bilgi - Kuramsal, Olgusal Apply the statistical analyze methods 4
PLO08 Bilgi - Kuramsal, Olgusal Make statistical inference (estimation, hypothesis tests etc.)
PLO09 Bilgi - Kuramsal, Olgusal Generate solutions for the problems in other disciplines by using statistical techniques and gain insight
PLO10 Bilgi - Kuramsal, Olgusal Discover the visual, database and web programming techniques and posses the ability of writing programs
PLO11 Beceriler - Bilişsel, Uygulamalı Distinguish the difference between the statistical methods
PLO12 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Make oral and visual presentation for the results of statistical methods 5
PLO13 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Have capability on effective and productive work in a group and individually
PLO14 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs 4
PLO15 Yetkinlikler - Öğrenme Yetkinliği Develop scientific and ethical values in the fields of statistics-and scientific data collection


Week Plan

Week Topic Preparation Methods
1 Statistical methods in health Reading Öğretim Yöntemleri:
Anlatım, Soru-Cevap
2 Designing a research in the field of health Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
3 Research Methods Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
4 Data collection tools - hospital databases Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
5 Obtaining data Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
6 Data entry Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
7 Descriptive statistics Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
8 Mid-Term Exam Course materials Öğretim Yöntemleri:
Anlatım, Tartışma
9 Hypothesis tests-1 Course materials Öğretim Yöntemleri:
Anlatım, Tartışma, Beyin Fırtınası, Problem Çözme
10 Hypothesis tests-2 Course materials Öğretim Yöntemleri:
Anlatım, Tartışma, Beyin Fırtınası
11 Hypothesis tests-3 Course materials Öğretim Yöntemleri:
Anlatım, Tartışma, Beyin Fırtınası
12 Obtain tables and graphics with SPSS Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
13 Data presentation with tables and graphics-1 Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
14 Data presentation with tables and graphics-2 Course materials Öğretim Yöntemleri:
Anlatım, Soru-Cevap, Tartışma
15 Data presentation with tables and graphics Course materials Öğretim Yöntemleri:
Anlatım, Tartışma
16 Term Exams Course materials Ölçme Yöntemleri:
Ödev
17 Term Exams Course materials Ölçme Yöntemleri:
Proje / Tasarım


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 12 12
Final Exam 1 18 18
Total Workload (Hour) 114
Total Workload / 25 (h) 4,56
ECTS 5 ECTS

Update Time: 13.06.2024 02:55