LOGISTIC MANAGEMENT
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
BME3005	Biostatistics	Spring Fall	2	2	3	6

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Dr. Öğr. Üyesi BURCU TUNÇ ÇAMLIBEL
Course Lecturer(s):	Dr. Öğr. Üyesi BURCU TUNÇ ÇAMLIBEL
Recommended Optional Program Components:	None
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

Learning Outcomes

The students who have succeeded in this course;
- The students who have succeeded in this course;
I. Interpret statistical results correctly, effectively, and in context.
II. Select an appropriate test for comparing two or more populations, and interpret and explain a p-value
III. Understand the concept of the power of data.
IV. Calculate and interpret confidence intervals for population means and proportions
V. Understand regression analysis and correlation of variables.

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.

Weekly Detailed Course Contents

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:

Evaluation System

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

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

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

	Program Outcomes	Level of Contribution
1)	To correctly identify the problems and to be able to ask the correct questions
2)	To have the ability for problem solving and to utilize analytical approach in dealing with the problems
3)	To be able to identify business processes and use them to increase the productivity in logistics system.
4)	To be fully prepared for a graduate study	2
5)	Awareness of the new advancements in Information and Communications Technologies (ICT) and to be able to use them in logistics management effectively. internet and the electronic world
6)	To understand the components of logistics as well as the importance of the coordination among these components.
7)	To know the necessary ingredients for improving the productivity in business life
8)	To think innovatively and creatively in complex situations	4
9)	To act and think both regionally and internationally
10)	To understand the demands and particular questions of globalization
11)	Aware of the two way interaction between globalization and logistics; as well as to use this interaction for increasing the productivity.
12)	To be able to use at least one foreign language both for communication and academic purposes	2
13)	To acquire leadership qualities but also to know how to be a team member
14)	To understand the importance of business ethics and to apply business ethics as a principal guide in both business and academic environment