STATISTICS I PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
ECF227	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	Assist.Prof. DİDEM TETİK KÜÇÜKELÇİ
Instructor(s) of the Course Unit
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)

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

SOURCE MATERIALS & RECOMMENDED READING

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description	Examination Method
Mid-Term Exam	1	50		Classical Exam
Final Exam	1	50		Classical Exam
TOTAL	2	100

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 concepts such as management, manager and leader.
2	Analyze the accuracy, reliability and validity of the new information obtained from the data.

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Report the obtained data.
2	Prepare software and projects related with the field.

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Use the appropriate resources for data analysis related with the field.
2	Analyze the work processes.

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Apply the material, techniques and analyzes in relation with the subject for project and work flows.
2	Fulfill responsibility with a focus on result in individual and team studies.

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Recognizes what he/she knows about his/her field or not.

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Recognizes what he/she knows about his/her field or not.
2	Act the theoretical knowledge in real life with learning to learn approach.
3	Apply different methods and techniques with an innovative approach in his/her research.

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Apply the results obtained in accordance with voluntarism and social responsibility projects.
2	Establish a healthy contact with colleagues
3	Share the analyzes and obtained results with colleagues.
4	Cooperate with colleagues at international level with the help of foreign language competency.

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Behave in accordance with ethical values regarding the collection, analysis and reporting of data.
2	Participate the design of work processes and systems with full quality.
3	Cooperate with other employees for the continuation of sustainability in the profession.

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	0	0	0
Preliminary & Further Study	0	0	0
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	0	0	0
Preparation for the Final Exam	0	0	0
Mid-Term Exam	0	0	0
Preparation for the Mid-Term Exam	0	0	0
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	0	0	0