BIOSTATISTICS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
BEY414E	BIOSTATISTICS	8	3	3	6

GENERAL INFORMATION
Language of Instruction :	English
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. HATİCE MERVE BAYRAM
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	It is aimed to gain knowledge and skills related to usage of statistics in health related research studies, basic data collection methods, analysis methods and interpretation of analysis results.
Contents of the Course Unit:	Population and Sample, Types of Variables, Data Presentation, Probabillity, Probability Distributions Measures of Central Tendency, Measures of Spread, Hypothesis Testing, Correlation, Confidence Intervals

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Interpret the results of the analysis by using causality reasoning.
Select the appropriate method required for statistical analysis.
Explain basic statistical concepts.
Examine statistical data in the related field-based publications.
Locate the data into graphs and tables.
Demonstrate appropriate use of basic statistics concepts.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-Database Research, Web-Based Research	Introduction to Statistics and Biostatistics	-Lecture, Discussion, Individual Study, Sample Case.
2	-Database Research, Web-Based Research	Terms of Biostatistic and Data Setting	-Lecture, Discussion, Individual Study, Sample Case.
3	-Database Research, Web-Based Research	Descriptive Statistics	-Lecture, Discussion, Individual Study, Sample Case.
4	-Database Research, Web-Based Research	Computing mean and standart deviation methods	-Lecture, Discussion, Individual Study, Sample Case.
5	-Database Research, Web-Based Research	Probability Distrubition	-Lecture, Discussion, Individual Study, Sample Case.
6	-Database Research, Web-Based Research	Normal Distribution	-Lecture, Discussion, Individual Study, Sample Case.
7	-Database Research, Web-Based Research	Sample Size Assumption	-Lecture, Discussion, Individual Study, Sample Case.
8	-	MID-TERM EXAM	-
9	-Database Research, Web-Based Research	Application/ Review	-Lecture, Discussion, Individual Study, Sample Case.
10	-Database Research, Web-Based Research	Confidence Intervals and Sample Sizing and Power	-Lecture, Discussion, Individual Study, Sample Case.
11	-Database Research, Web-Based Research	Intervals Estimation	-Lecture, Discussion, Individual Study, Sample Case.
12	-Database Research, Web-Based Research	Comparing Mean	-Lecture, Discussion, Individual Study, Sample Case.
13	-Database Research, Web-Based Research	Comparing Propotions	-Lecture, Discussion, Individual Study, Sample Case.
14	-Database Research, Web-Based Research	Hypothesis Testing	-Lecture, Discussion, Individual Study, Sample Case.
15	-Database Research, Web-Based Research	Correlations and Analysis	-Lecture, Discussion, Individual Study, Sample Case.
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Mario Triola, Marc Triola. ( 2018) Biostatistics for the Biological and Health Sciences Pearson Education Limited; 2nd edition.
Arora, P., & Malhan, P. (2009). Biostatistics. Retrieved from https://search.proquest.com.

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Define the theoretical and practical concepts which comprise the required basic professional knowledge related to medicine and science.					4

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Requires the level of nutrition and dietetics, medical and related science and technology defines the concepts of theoretical and applied knowledge-based.	0

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Describe the advanced level of knowledge and skills in the fields of nutrition and dietetics based on medical and natural sciences,				3

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Recognize advanced level of theoretical and practical knowledge related to nutrients and nutrition, dietetics, community nutrition and institutional food service systems					4

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Take responsibility both as a team member and individually in order to provide that unforeseen complex activities faced in the practices in his/her field are carried out.					4

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate the advanced knowledge and skills s/he has acquired in his/her field with a critical approach.					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Share his/her ideas and solution proposals for problems related to the issues in his/her field with professionals and non-professionals with the support of qualitative and quantitative data.					4

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Discharge the responsibilities, duties and obligations in accordance with the rules and regulations of professional ethics related to nutrition and dietetics						5

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	14	3	42
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	14	3	42
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	1	10	10
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	10	10
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	46	0	148