| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Biostatistics | SBH306 | Compulsory | Bachelor's degree | 3 | Spring | 2 |
Name of Lecturer(s)
Prof. Dr. Canan BAYDEMİR
Lecturer İlknur OVALI URAN
Learning Outcomes of the Course Unit
1) Knows basic statistical concepts.
2) Determines to proper descriptive statistics by checking type of the variable and distribution of data, calculates these statistics and interprets the results.
3) Constructs relevant tables and graphics which are convenient to data.
4) Calculates probability by using basic theoretical distributions.
5) Knows concepts of sampling distribution, standard error and confidence interval.
6) Selects, applies and interprets appropriate hypothesis tests.
7) Applies correlations and simple linear regression analysis.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | Low | Middle | Low | Middle | Low | Middle | Middle | Middle | Low | Middle | Low | Middle | |
| 2 | Middle | Middle | Low | Middle | Low | Low | Middle | Middle | Low | Middle | Low | Middle | |
| 3 | High | High | High | Middle | Middle | High | High | High | High | Middle | Middle | High | |
| 4 | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
| 5 | High | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
| 6 | Low | Middle | High | Middle | Low | Middle | High | High | Middle | Middle | High | Middle | |
| 7 | High | Low | Middle | Low | Middle | Low | Middle | Low | Middle | Low | Middle | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
.
Course Contents
Basic statistical definitions, descriptive statistics, theoretical distributions, sampling distributions, sampling methods, required sample size, hypothesis tests, correlation and linear regression methods are the contents of this course.
Weekly Schedule
1) Introduction to Biostatistics- Basic Definitions and Concepts2) Descriptive Statistics
3) Table and Graphs
4) Standardization, Introduction to Probability
5) Theoretical distributions-Practice
6) Sampling distributions and confidence intervals
7) Introduction to hypothesis tests-Single sample tests
8) MIDTERM EXAM
9) Two dependent/independent samples tests
10) K- dependent/independent samples tests
11) Correlation Analysis
12) Regression Analysis
13) Review the topic
14) Review the topic
15) Review the topic
16) FINAL EXAM
Recommended or Required Reading
1- "Biyoistatsitik" İsmail Kocaçalışkan, Nüket Akanıl Bingöl "Temel ve Klinik Biyoistatistik" Rian Dişçi
Planned Learning Activities and Teaching Methods
1) Lecture
2) Lecture
3) Question-Answer
4) Question-Answer
5) Discussion
6) Discussion
7) Drill and Practice
8) Drill and Practice
9) Group Study
10) Group Study
11) Brain Storming
12) Self Study
13) Self Study
14) Problem Solving
15) Problem Solving
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required