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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 | ||