STATISTICS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
BUS213	STATISTICS	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	Assist.Prof. ÇAĞLA TUĞBERK ARIKER
Instructor(s) of the Course Unit	Prof. ANTON ABDULBASAH KAMIL
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The aim of the course; compiling the statistical data, using this data, problem solving and the accumulation of knowledge to provide students with the assessment.
Contents of the Course Unit:	Course content, introduction of basic statistical concepts, Central tendency measurements, variability measurements, probability and probability calculation, discrete and continuous distributions, binomial and poisson distributions include 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. (Define) (1)
Defines the dependent and independent variable in regression analysis (Define) (1)
Creates the Frequency Distribution Table for a given series. (Create) (6)
Calculates the central tendency measures for a given series. (Calculate) (2)
Interprets and calculates the central distribution measures for a given series. (Calculate) (2) & (Interpret) (5)
Calculates the probability values by using z-table (Calculate) (2)

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Literature reading, homework	Introduction to statistics, Principles of Counting, Factorial, Permutation	Lecture, Q&A
2	Literature reading, homework	Combination, Probability	Lecture, Q&A
3	Literature reading, homework	Contingency Tables, Conditional Probability, Bayes Theorem	Lecture, Q&A
4	Literature reading, homework	Fundamental Definitions of Statistics, Large Number Law, Tables, Frequency Distribution Tables of a given series, Cumulative	Lecture, Q&A
5	Literature reading, homework	Central Tendency Measures , Arithmetic Mean	Lecture, Q&A
6	Literature reading, homework	Central Tendency Measures , Mode, Median and Central Tendency Measures comparison	Lecture, Q&A
7	Literature reading, homework	Central Tendency Measures	Lecture, Q&A
8	-	MID-TERM EXAM	-
9	Literature reading, homework	Central Distribution Measures	Lecture, Q&A
10	Literature reading, homework	Random Variables (Discrete, Continuous), Expected Value, Variance	Lecture, Q&A
11	Literature reading, homework	Some Discrete Probability Distribution (Bernoulli, Binom, Poisson, Uniform Distribution)	Lecture, Q&A
12	Literature reading, homework	Z-Distribution	Lecture, Q&A
13	Literature reading, homework	Comparison of Normal Distribution and Standard Normal Distribution	Lecture, Q&A
14	Literature reading, homework	Distributions	Lecture, Q&A
15	Literature reading, homework	Sampling Distribution of the mean	Lecture, Q&A
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., Carlson, W. L., Thorne, B. M. (2013). Statistics for Business and Economics, 8th ed., Pearson, Essex.
http://jtsa.ieu.edu.tr/
Fikri Akdeniz, Olasılık ve İstatistik

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 theories, concepts and principles of the basic and sub-fields of business.			2
2	Explain business functions and processes based on current scientific sources.		1

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Relate internationally valid business cases with the theories and concepts of other social sciences.			2

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Explain the current events and facts in his / her field analytically and systematically based on advanced knowledge and skills he / she has.					4

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Use the theoretical and factual knowledge in business for occupational practices.				3
2	Solve individual and organizational problems in business life.		1
3	Use computer programs (SPSS, R, Excel, Stata) efficiently against the complex business problems.						5

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Plan research and work using knowledge and skills gained in the field of business.					4
2	Organize the activities for organizational goals and purposes independently.		1

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Criticize advanced knowledge and skills in the field with a critical approach.				3
2	Develop the existing knowledge and skills with a critical point of view under the impact of scientific, technological and current developments.				3

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Express his/her knowledge, thoughts and solutions on business to related stakeholders in written and verbal ways.		1
2	Use the information and communication technology software and equipment required for business.					4

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Apply the social, scientific, cultural and ethical values at the stages of collection of data, their implementation, interpretation and announcement of results in the field of business.						5
2	Relate the concepts of social rights, occupational safety, employee health, quality management and sustainability with the cases in business life.		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	14	2	28
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
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	8	5	40
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	6	6	36
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	44	0	148