STATISTICS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
ISF205	STATISTICS	5	3	3	6

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. BUMİN ÇAĞATAY AKSU
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The objective of the course is to provide the students the knowledge to compile the statistical data, use this data, problem solving and the assessment of this data.
Contents of the Course Unit:	Contents of the course include; introduction of basic statistical concepts, Central tendency measurements, variability measurements, probability and probability calculation, intermittent and continuous distributions, binomial and poisson distributions, normal distribution and continuous normal distribution methods and applications.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Defines the basic concepts of statistics.
Recognizes the dependent and independent variable in regression analysis.
Recognizes normal, symmetric and asymmetric distributions.
Applies the hypothesis tests for a single population.
Applies hypothesis testing for population ratio.
Calculates confidence intervals for parameters.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Literature review	Introduction to Statistics: Definition of statistics and basic concepts, subject of statistics, aim of statistics	Lecture, Practices of Questions
2	Literature review, Individual Research	Data collection and compilation: Summarizing data with graphical methods	Lecture, Practices of Questions
3	Literature review, Individual Research	Audience and sample	Lecture, Practices of Questions
4	Literature review, Individual Research	Presenting and summarizing statistical data	Lecture, Practices of Questions
5	Literature review, Individual Research	Frequency distribution and tables	Lecture, Practices of Questions
6	Literature review, Individual Research	Data display methods	Lecture, Practices of Questions
7	Literature review, Individual Research	Central tendency measurements.	Lecture, Practices of Questions
8	-	MID-TERM EXAM	-
9	Literature review, Individual Research	Sampling distributions	Lecture, Practices of Questions
10	Literature review, Individual Research	Standard deviation and its characteristics	Lecture, Practices of Questions
11	Literature review, Individual Research	Independent cases	Lecture, Practices of Questions
12	Literature review, Individual Research	Probability actions	Lecture, Practices of Questions
13	Literature review, Individual Research	Conditional probability	Lecture, Practices of Questions
14	Literature review, Individual Research	Random variables (intermittent, continuous)	Lecture, Practices of Questions
15	Literature review, Individual Research	Bayes theorem and statistical distributions	Lecture, Practices of Questions
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Spiegel, M. R., & Stephens, L. J. (2013). İstatistik. Çev: ÇELEBİOĞLU, S.), Nobel Akademik Yayıncılık, Ankara.
Newbold, P. (2013). İşletme ve İktisat İçin İstatistik,[Çev Şenesen Ü.], 8. Basım, Literatür Ya., İstanbul.

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	He/she has the advanced theoretical and practical knowledge supported by books including main and current knowledge on Health Management's field, practical tools, multimedia educational tools and other supported resources.

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/she has the knowledge to attain scientific information, track current literature, evaluate and execute datas about Health Management.

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/she can interpret and evaluate scientifically proven datas by using his/her advanced knowledge and skills on Health Management, he/she can identify the problems, analyze them, and solve them with the aid of researches and evidences based his/her professional ethical norms, by sharing the knowledge and being an excellent member of a team.

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/she can train individuals, families and society by using his/her advanced theoretical and practical knowledge on Health Management studies.

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/she can perform a study independently and take responsibility bycooperating with other groups of professions via using his/her advanced knowledge on Health Management.

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/she can evaluatecritically the advanced knowledge and skills on Health Management.

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/she can inform people and institutions relevant to Health Management by citing his/her suggestions about solutions both written and orally, and he/she can listen the requests and expectancies of those contacts.

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	He/she can gather, interpret, and execute information about Health Management field, and cooperate with people from other relevant disciplines in order to announce the information gathered by paying attention to social, cultural and ethical norms.

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	3	3	9
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	15	3	45
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	10	1	10
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	58	0	150