ADVANCED STATISTICS I- DESCRIPTIVE METHODS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
YBS202	ADVANCED STATISTICS I- DESCRIPTIVE METHODS	4	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. 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 students with the basic concepts of statistics, inform them about basic statistical criteria, probability theory, indices and fundamental probability divisions to be applied to appropriate problems.
Contents of the Course Unit:	Statistics identifies the past and the present situation and takes the descriptive name when it presents summary information and graphs. Summarizing the data with the help of tables or graphs and reducing it to a single number, such as averages, of a large number of numbers is also applicable to this field. Briefly, summarize and present the information contained in a dataset of descriptive statistics by using numerical and graphical methods.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Explain the basic concepts of statistics.
Discover the methods of collecting data.
Interpret the information about average and variability measures.
Choose the index to use according to the situation.
Calculate the probability calculus.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	-	Introduction	Lecture & Discussion
2	Literature Review	Description of data - visual	Lecture & Problem Solving
3	Literature Review	Description of data with time series	Lecture & Problem Solving
4	Literature Review	Description of data - numerical	Lecture & Problem Solving
5	Literature Review	Variability measurements	Lecture & Problem Solving
6	Literature Review	Probability	Lecture & Problem Solving
7	Literatür Taraması	Bayes Theorem	Lecture & Problem Solving
8	-	MID-TERM EXAM	-
9	Literature Review	Discrete random variables and probability distribution	Lecture & Problem Solving
10	Literature Review	Binomial distribution	Lecture & Problem Solving
11	Literature Review	Continuous random variables and probability distribution	Lecture & Problem Solving
12	Literature Review	Normal distribution	Lecture & Problem Solving
13	Literature Review	Sampling and Sampling Distributions	Lecture & Problem Solving
14	Literature Review	Estimate, Population	Lecture & Problem Solving
15	Literature Review	Single Population	Lecture & Problem Solving
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Gursakal, N. (2014). Cikarimsal Istatistik. Dora Publications.

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 concepts such as management, manager and leader.				3
2	Analyze the accuracy, reliability and validity of the new information obtained from the data.						5

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

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.						5
2	Analyze the work processes.						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Manage projects as part of a team.						5
2	Apply the material, techniques and analyzes in relation with the subject for project and work flows.						5

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Fulfill responsibility with a focus on result in individual and team studies.						5

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.						5
2	Act the theoretical knowledge in real life with learning to learn approach.						5
3	Apply different methods and techniques with an innovative approach in his/her research.						5

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.						5
2	Establish a healthy contact with colleagues				3
3	Share the analyzes and obtained results with colleagues.						5
4	Cooperate with colleagues at international level with the help of foreign language competency.						5

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.						5
2	Participate the design of work processes and systems with full quality.						5
3	Cooperate with other employees for the continuation of sustainability in the profession.						5

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	0	0	0
Assignment (Homework)	13	1	13
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	7	5	35
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	55	0	154