OPTICIANRY (TURKISH)
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

Ders Genel Tanıtım Bilgileri

Course Code:

BME3005

Ders İsmi:

Biostatistics

Ders Yarıyılı:

Spring

Ders Kredileri:

Theoretical	Practical	Credit	ECTS
2	2	3	6

Language of instruction:

English

Ders Koşulu:

Ders İş Deneyimini Gerektiriyor mu?:

Type of course:

Non-Departmental Elective

Course Level:

Associate

TR-NQF-HE:5. Master`s Degree

QF-EHEA:Short Cycle

EQF-LLL:5. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr. Öğr. Üyesi BURCU TUNÇ ÇAMLIBEL

Course Lecturer(s):

Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives:

- The course provides an introduction to selected important topics in biostatistical concepts and reasoning. This course represents an introduction to the field and provides a survey of data and data types. Specific topics include tools for describing central tendency and variability in data; methods for performing inference on population means and proportions via sample data; statistical hypothesis testing and its application to group comparisons; issues of power and sample size in study designs; and random sample and other study types; regression analysis, confidence intervals, correlations

Course Content:

Design of Experiments, Statistical programming: , Exploratory Data Analysis and Descriptive Statistics, Probability Theory, Sampling Distributions and the Central Limit Theorem, Estimation, Statistical Inference, Contingency tables, Nonparametric Tests, Power and sample size, ANOVA, Correlation and Regression, Logistic regression, Survival Analysis, applications on biological datasets.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week	Subject	Related Preparation
1)	Introduction to biostatistics
2)	Descriptive Statistics
3)	Probability Theory
4)	Sampling Distributions and the Central Limit Theorem
5)	ANOVA
6)	The Special Case of Two Groups: the t test
7)	Contingency tables, Chi Square Test, z-test
8)	Fisher Exact Test, Relative Risk, Odds Ratio
9)	Power and Sample size
10)	Paired t-test, Repeated Measures of Analysis of Variance, McNemar's Test
11)	Nonparametric Tests: Mann-Whitney Rank-Sum Test, Wilcoxon Signed-Rank Test
12)	Nonparametric Tests: Kruskal-Wallis Test, Friedman Test
13)	Confidence Intervals
14)	Correlation and Regression

Sources

Course Notes / Textbooks:	Primer of Biostatistics, Stanton A. Glantz, McGraw-Hill, 7th Edition Fundamental of Biostatistics, Bernard Rosner, Cengage Learning, 8th Edition
References:

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları
Program Outcomes
1) The student acquires theoretical and practical knowledge related to his field at a basic level.
2) The student owns information about moral discipline and ethical rules related to his field.
3) The student uses theoretical and practical knowledge related to his field at a basic level; basic fundamental computer programs and related technologies.
4) The student manages a duty independently by using the knowledge about his field at a basic level.
5) The student evaluates the knowledge about his field at a basic level with a critical approach, he designates his learning needs and directs his learning.
6) The student uses information and communication technologies with at least at basic level of European Computer Using Licence basic level of computer software which his field of study requires.
7) The student complies with and contributes to quality management and processes.
8) The student has sufficient consciousness about individual and public health, environmental protection and work safety issues.
9) The student acts in accordance with laws, regulations, legislations and professional ethics related to individual duties, rights and responsibilities.

Ders - Öğrenme Kazanımı İlişkisi

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	The student acquires theoretical and practical knowledge related to his field at a basic level.
2)	The student owns information about moral discipline and ethical rules related to his field.
3)	The student uses theoretical and practical knowledge related to his field at a basic level; basic fundamental computer programs and related technologies.
4)	The student manages a duty independently by using the knowledge about his field at a basic level.
5)	The student evaluates the knowledge about his field at a basic level with a critical approach, he designates his learning needs and directs his learning.
6)	The student uses information and communication technologies with at least at basic level of European Computer Using Licence basic level of computer software which his field of study requires.
7)	The student complies with and contributes to quality management and processes.
8)	The student has sufficient consciousness about individual and public health, environmental protection and work safety issues.
9)	The student acts in accordance with laws, regulations, legislations and professional ethics related to individual duties, rights and responsibilities.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	5	% 30
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
Total		% 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	7	98
Quizzes	5	1	5
Midterms	1	3	3
Final	1	3	3
Total Workload			151