İSTATİSTİK PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
SMP231	İSTATİSTİK	3	2	2	5

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	ASSOCIATE DEGREE, TYY: + 5.Level, EQF-LLL: 5.Level, QF-EHEA: Short Cycle
Type of the Course :	Elective
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. DAMLA ZEYDANLI
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	With this course; it is aimed to teach the basic concepts of statistics, descriptive statistics, inference, estimation and some methods and techniques used in the production of forecasting information.
Contents of the Course Unit:	The course includes introduction to statistics and basic concepts, data collection methods, classification of data, displaying data in graphs, understanding and interpreting tables and graphs, arithmetic mean, weighted mean, geometric mean, harmonic mean, mode, median, coefficient of variation, distribution functions, types of failures in quantitative analysis, statistics of repeated measurements, confidence intervals, Permutation and combination.

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 in statistics.
Specifies the hypotheses that are the subject of the research.
Interprets by collects statistical data in the field of laboratory technology.
Classifies failures in laboratory analysis.
Measures confidence intervals for parameters.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Literature review, individual research.	Introduction to statistics and basic concepts	Expression, question and answer.
2	Literature review, individual research.	Data collection methods	Expression, question and answer.
3	Literature review, individual research.	Classification of data	Expression, question and answer.
4	Literature review, individual research.	Displaying data in graphs	Expression, question and answer.
5	Literature review, individual research.	Understanding and interpreting tables and graphs	Expression, question and answer.
6	Literature review, individual research.	Arithmetic and weighted mean	Expression, question and answer.
7	Literature review, individual research.	Geometric and harmonic mean	Expression, question and answer.
8	-	MID-TERM EXAM	-
9	Literature review, individual research.	Mode, median	Expression, question and answer.
10	Literature review, individual research.	Coefficient of variation	Expression, question and answer.
11	Literature review, individual research.	Distribution functions	Expression, question and answer.
12	Literature review, individual research.	Types of failures in quantitative analysis	Expression, question and answer.
13	Literature review, individual research.	Statistics of repeated measurements	Expression, question and answer.
14	Literature review, individual research.	Confidence intervals	Expression, question and answer.
15	Literature review, individual research.	Permutation, combination	Expression, question and answer.
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Çil, B. (2000). İstatistik. Ankara: Detay Yayıncılık.
Bakır, M. ve Aydın, C. (2015). İstatistik (6. Baskı). Ankara: Nobel Akademik Yayıncılık.
Kılıçkaplan, S. (1997). İstatistiğe Giriş I. Ankara: Alkım Yayınevi.
Sırıksaran, E. (2000). Teori ve Uygulamaları ile İstatistiksel Yöntemler. İstanbul: Sigma Yayınları.
Spiegel, M. ve Stephens, L. (2017). Schaum's Outline of Statistics (5th ed.). New York: McGraw-Hill Education.

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

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They have basic theoretical and practical knowledge in the field of laboratory science.	0
2	They have a minimum technical infrastructure in basic mathematics and science subjects.						5
3	They acquire the ability to effectively collect data through efficient sampling, experiments, and analysis, and to interpret and evaluate the obtained data.	0
4	They are aware of the fundamental concepts related to quality assurance and quality management systems, and they can conduct work in accordance with the importance of the quality control process within total quality management.	0

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They have knowledge of ethical principles and rules related to their field.	0

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They possess the capability to generate original ideas that can respond to the demands and advancements in the laboratory sector, as well as the ability to conduct research and development (R&D) activities.			2

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They interpret and evaluate data using the basic level of knowledge and skills acquired in their field, identify problems, analyze them, and participate/take responsibility in planned activities for solving them.						5

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They have the ability to work independently.			2

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They acquire an awareness of the necessity of lifelong learning and gain an understanding of keeping up with developments in science and technology, as well as continually renewing themselves.					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They are respectful towards historical values and possess social responsibility awareness.	0
2	They understand the necessity of teamwork and engage in team collaboration when needed.			2

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	They are knowledgeable about laboratory technology and proficiently utilize laboratory instruments and equipment in an appropriate and effective manner.	0
2	They can conduct analyses of food, water, plants, soil, chemicals, microbiological samples, and medical materials.	0
3	They have sufficient awareness regarding individual and public health, environmental protection, and occupational safety.	0
4	They act in accordance with laws, regulations, legislation, and professional ethical standards regarding their duties, rights, and responsibilities as an individual.	0

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	2	28
Preliminary & Further Study	14	2	28
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	12	12
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	12	12
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	46	0	124