BIOSTATISTICS
- Course
- ISTA310 - BIOSTATISTICS
- Department
- Basic Sciences and Humanities
- Course Type
- Course
- Status
- Required
- Language
- Turkish
- Credit
- 2
- ECTS
- 3
- T+P+L
- 2 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
- Keywords
Course Description
Introduction to Biostatistic will be done with the definition of statistics and biostatistic. Students will learn in which study areas this science is used. Data types and collection methods, together with the types of data analysis will be studied by the students. Initially, descriptive studies will be described and using different data types these descriptive analysis will be practiced. The module will give information regarding graphics and tables; and the importance of these in biostatistics. Different data series will be given to students and they will be taught on producing graphics and tables using the given data series. Probability distributions will be studied and using example datasets probability calculations will be made. Finally, regression and correlation topics will be demonstrated to students.
BIOSTATISTICS
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Ara Sinav | Midterm | 40 |
| Final | Final | 60 |
| Total | 100 | |
Course outcomes
- 01 They classify different types of data.
- 02 In order to summarize the sample, they obtain graphics and tables and conclude them.
- 03 They apply the calculation of the descriptive parameters.
- 04 They calculate standard deviation, variance and standard error.
- 05 They classify using probability distributions.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Giriş ve tanımlar |
| Week 2 | Veri cesitleri ve Bilgi toplama yöntemleri |
| Week 3 | Frekans Tabloları, Gruplandırılmış Frekans Tabloları |
| Week 4 | Tanımlayıcı İstatistikler (Merkezi Eğilim Ölçüleri: Ortalama, Medyan, Mod) |
| Week 5 | Dağılım ölçütleri: Yayılma genişliği, çeyrekler arası yarı genişlik |
| Week 6 | Standart sapma,Varyasyon katsayısı |
| Week 7 | Tanımlayıcı İstatistikler ile ilgili karışık uygulamalar |
| Week 8 | Ara Sınav |
| Week 9 | Olasılık |
| Week 10 | Normal Dağılım ve standart normal dağılım |
| Week 11 | Standart Hata, Evren ortalaması için güven aralığı |
| Week 12 | Tipta olasilik kullanarak karar verme |
| Week 13 | Dönem konularının tekrarı |
| Week 14 | Alistirmalar |
| Week 15 | FİNAL |
Reference Books & Course Materials
- 01 Biyoistatistik, 2010, Sumbulluoglu, K & Sumbulluoglu V, 14. Baski. Hatipoglu Yayinevi.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
- P01 Has the theoretical and applied knowledge required by the dietitian profession
- P02 Uses the knowledge and skills throughout the professional life, in the protection and improvement of individual, family and community health, to prevent and treat the diseases.
- P03 Provides training and consultancy by using scientific evidence in order to increase the health level and quality of life of the society.
- P04 Have the ability of learning, critical thinking, problem solving and decision making skills in the field of Nutrition and Dietetics.
- P05 Uses information technologies and specific technological equipment to the field effectively
- P06 Maintains personal and professional development with the awareness of lifelong learning.
- P07 Carries out its profession in accordance with in the line with ethical principles, legal framework and standards.
- P08 Uses the professional skills in accordance with the fundamental values and culture of the population at national and international statues.
- P09 Acts in accordance with quality management processes.
- P10 Takes a role in research, projects and activities in collaborate with the healthcare team and other disciplines.
- P11 Have the ability to follow information in the professional field and to communicate with colleagues by using Turkish and at least one foreign language.
Po-Lo Matrix
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