Department of Biomedical Engineering

BME 425 | Course Introduction and Application Information

Course Name

Biostatistics

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
BME 425	FALL	2	2	3	6

Prerequisites	None
Course Language	English
Course Type	ELECTIVE_COURSE
Course Level	First Cycle
Mode of Delivery	Yüzyüze
Teaching Methods and Techniques of the Course	Presentation/Discussion Question&Answer Problem Solving
National Occupational Classification Code	-
Course Coordinator	Dr. Öğr. Üyesi Gülizar Çalışkan
Course Lecturer(s)	Dr. Öğr. Üyesi Gülizar Çalışkan
Assistant(s)	-

Course Objectives

The objective of this course is to provide basic statistical information, to analyze the data obtained in the field of health and biomedical, to make scientific judgments based on descriptive and inferential statistics data.

Learning Outcomes

The students who succeeded in this course;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Will be able to calculate descriptive and inferential statistics	4			X
LO2	Will be able to analyze probability and distribution functions.	2			X
LO3	Will be able to perform hypothesis testing and interpret results	2			X
LO4	Will be able to perform ANOVA, Chi-Square analysis	4				X
LO5	Will be able to perform Correlation and Regression analyses	4		X

Course Description

This course includes the basic concepts and types of biostatistics, the classification of data, the selection of the appropriate statistical analysis for the problem, the application of the test after the hypothesis, and the evaluation of the results.

Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	Introduction, Definitions of Basic Biostatistics	Chapter 1 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO1
2	Introduction to Descriptive Statistics, Frequency Distrubition, Classification of Data	Chapter 2 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO1
3	Measuring of Descriptive Statistics	Chapter 2 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO1
4	Probability	Chapter 3,4,5 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO2
5	Estimation, Introduction to Inferential Statistics	Chapter 6 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO2
6	Hypothesis Test	Chapter 7 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO3
7	Comparison of Two Means: Two Variable Tests	Chapter 8 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO3
8	Midterm		-
9	Comparison of Differences Between Two Paired Test	Chapter 8 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO3
10	ANOVA	Chapter 12 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO4
11	ANOVA	Chapter 12 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO4
12	Chi-Square Test	Chapter 9 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO4
13	Chi-Square Test	Chapter 9 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO4
14	Correlation and Regression	Chapter 11 Rostner, B. “Fundamentals of Biostatistics” 8th Ed. Duxbury press, USA, 2016 ISBN: 978-1-305-26892-0	LO5
15	Review		-
16	Final Exam		-

Course Notes/Textbooks	Rosner B. A. (2006). Fundamentals of biostatistics (Vol. 6). Belmont CA: Thomson-Brooks/Cole. ISBN: 978-1-305-26892-0
Suggested Readings/Materials	-

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5
Project	1	30		X	X	X	X
Midterm	1	30	X	X	X
Final Exam	1	40	X	X	X	X	X
Total	3	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	2	32
Laboratory / Application Hours	16	2	32
Study Hours Out of Class	14	2	28
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	-	-	-
Presentation / Jury	-	-	-
Project	2	16	32
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	24	24
Final Exam	1	32	32
		Total	180

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics
	6	The ability to apply this knowledge to solve complex engineering problems
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.				LO2 LO3
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.			LO5	LO1	LO4
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.