STATISTICS I PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
ECF223	STATISTICS I	3	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 :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Prof. BÜLENT EŞİYOK
Instructor(s) of the Course Unit	Prof. ANTON ABDULBASAH KAMIL
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	This course aims to provide the student with the ability to interpret basic statistical techniques and results based on mathematical foundations.
Contents of the Course Unit:	Contents of the course include the subjects such as definition and basic concepts, measures of central tendency and variability, probability and probability distributions.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Describe the basic statistical terms.(2)
Solve problems related to central tendency measurements such as arithmetic mean and standard deviation.(3)
Analyze central tendency and variability measures.(4)
Interpret the data entered in the software in his/her field.(4)
Analyze the surveys statistically.(4)
Analyze problems related to abrupt and continuous distribution.(4)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Reading	Basic concepts, data collecting tools, arranging and presenting data	Lecture & Question Answer & Problem-Solving Method
2	Reading	Factorial, Permutation, Combination, Sets, Sample Space	Lecture & Question Answer & Problem-Solving Method
3	Reading	Independent Events: Probability Axioms	Lecture & Question Answer & Analysis
4	Reading	Conditional Probability	Lecture & Question Answer & Analysis
5	Reading	Bayes Theorem	Lecture & Question Answer & Analysis
6	Reading	Random variables: discrete, continuous, two-dimensional variables. Variance expected value	Lecture & Question Answer & Analysis
7	Reading	Statistical distribution: Bernoulli, Binomial,	Lecture & Question Answer & Analysis
8	-	MID-TERM EXAM	-
9	Reading	Geometric distribution, Negative Binomial, Hypergeometric (variance and expected values)	Lecture & Question Answer & Analysis
10	Reading	Continuous Distribution in Statistics	Lecture & Question Answer & Analysis
11	Reading	Normal, Poisson Curves Functions	Lecture & Question Answer & Analysis
12	Reading	Normal Distribution Moment	Lecture & Question Answer & Analysis
13	Reading	Arranging statistical data and analysis	Lecture & Question Answer & Analysis
14	Reading	Hypothesis in statistics (principal tests, practices)	Lecture & Question Answer & Analysis
15	Reading	Regression and correlation: least squares estimation, Variance Analysis	Lecture & Question Answer & Analysis
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Murray R. Spiegel, Larry J. Stephens. (2013). Statistic. Nobel Academic Publications
Witte, R.Witte J. (2009). Statistics. Ninth Edition
https://www.fd.cvut.cz/department/k611/PEDAGOG/THO_A/A_soubory/statistics_firstfive.pdf

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 basic concepts of economics, administrative and human sciences. (Bloom 1)		1
2	Evaluate the economic environment and overall sustainability of firms. (Bloom 4)		1

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Relate principles and concepts of economics and finance with other disciplines. (Bloom 4)			2
2	Define principles, concepts, methods and theories related with economics and finance. (Bloom 1)				3

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Interpret the charts and tables related to the field. (Bloom 2)				3

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Evaluate the theoretical models of economic policies which have direct or indirect effects by using the facts and dynamics of the economic system.(Bloom 4)			2
2	Analyze economic and financial reports. ((bloom 4)				3
3	Use basic mathematics, statistics and econometric methods and tools to solve economic and financial problems. (Bloom 3)				3
4	Interpret the operation of current economic, political and social events by using institutional information related with Economics and Finance.(Bloom 2)		1

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Organize economic and financial activities in humanitarian and social terms with adherence to ethics. (Bloom 4).		1

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Develop a critical perspective on national and international economic, political, social, financial and development problems. (bloom 6)		1

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Follow the agenda on economics, politics and social issues and improve himself/ herself. (bloom 6)		1

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Analyze current issues and problems by using the structure and properties of Macro and Microeconomics and variables. (Bloom 4)			2
2	Evaluate the effectiveness of the general economic system and public policies and their effects on markets and basic economic variables.(Bloom 4)			2
3	Analyze the cause and effect relationships between the relevant economic variables. (Bloom 4)		1
4	Evaluate the expected trends and portfolio analyzes in interest and exchange rates within the framework of the general financial system. (Bloom 4)		1

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	13	2	26
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	10	2	20
Assignment (Homework)	7	2	14
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	4	8	32
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	2	8	16
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	52	0	152