GENERAL STATISTICS PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
ILT278	GENERAL STATISTICS	4	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. KADİR MERSİN
Instructor(s) of the Course Unit
Course Prerequisite	No

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The objective of this course is to introduce students to the fundamental concepts of statistics, data collection and analysis methods, and to provide an understanding of probability, distributions, confidence intervals, and basic statistical inference. By the end of the course, students will be able to interpret diverse data sets, use appropriate summative measures, and make simple statistical inferences.
Contents of the Course Unit:	This course covers the fundamental concepts and methods of statistics. It covers data collection, classification, and tabular and graphical summarization techniques. It covers measures of central tendency and dispersion, probability theory, independent and conditional events, discrete and continuous probability distributions, Bayes' theorem, sampling distributions, and standard deviation. It also covers confidence intervals and basic statistical inference methods. Students will reinforce their theoretical knowledge through practical work on real data sets.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Understand the fundamental statistical concepts, data types, and methods of data collection and summarization.
Apply probability distributions and inferential statistics (confidence intervals, hypothesis tests) to solve real-world business and social science problems.
Analyze datasets using statistical reasoning and interpret results to support decision-making processes in logistics and management contexts.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Reading	Introduction to Statistics: Definition, Basic Concepts, Data Collection and Summarization	Lecture, Q. & A.
2	Reading	Population and Sample, Data Presentation and Graphical Summaries, Frequency Distribution	Lecture, Q. & A.
3	Reading	Data Visualization Methods, Measures of Central Tendency	Lecture, Q. & A.
4	Reading	Sampling Distributions, Standard Deviation	Lecture, Q. & A.
5	Reading	Independent Events and Probability Axioms	Lecture, Q. & A.
6	Reading	Conditional Probability	Lecture, Q. & A.
7	Reading	Discrete Probability Distributions (Binomial, Poisson, etc.)	Lecture, Q. & A.
8	Reading	Continuous Probability Distributions (Normal, t, χ², F, etc.)	Lecture, Q. & A.
9	Reading	Bayes’ Theorem and Statistical Interpretations	Lecture, Q. & A.
10	-	MID-TERM EXAM	-
11	Reading	Confidence Intervals: Definition, 95% Confidence Intervals, Confidence Interval for Sample Means	Lecture, Q. & A.
12	Reading	Applied Data Analysis: Introduction to Confidence Intervals and Hypothesis Testing	Lecture, Q. & A.
13	Reading	Applied Case Studies and Sample Problem Solving	Lecture, Q. & A.
14	Reading	General Review, Applications and Project/Assignment Evaluation	Lecture, Q. & A.
15	Reading	General Review, Applications and Project/Assignment Evaluation	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. (2013). İşletme ve İktisat İçin İstatistik,[Çev Şenesen Ü.], 8. Basım, Literatür Ya., İstanbul.
Fikri Akdeniz, Olasılık ve İstatistik

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	To explain the basic concepts and theories associated with the field of Logistics Management		1

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To relate concepts and cases in the field of Logistics Management with other fields in Social Sciences		1
2	To make scientific and interdisciplinary research about the cases in the field		1

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To draw conceptual and theoretical connections between past and present trade and logistics – transportation procedures and to make forecasts for the future.		1

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To make literature review for analyzing cases in the field of Logistics Management and to use this information for personal studies.		1
2	To use the latest technology for making descriptive and exploratory research and to use this information for personal studies.		1

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To conduct a field-specific study individually and to complete it with discipline and responsibility.				3
2	To assume duties and responsibilities in a team work as leader or team member and to fulfil them flawlessly.		1

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To analyze data and findings in the field of Logistics Management with respect to cause-effect relations and critical perspective.		1
2	To identify gaps in the theory and practice of Logistics Management and to offer solutions for each.		1
3	To develop ideas as to how to use the information related to the field of Logistics Management in professional life.			2

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To convey information related with the field of Logistics Management by using effective presentation and communication techniques.				3
2	To use field-specific information for creation of various projects, activities and social responsibility programmes in the field of Logistics Management.			2
3	To conduct literature review, follow the recent developments and produce written and oral works in a foreign language.		1

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	To respect social, cultural, scientific and ethical norms and values in the processing and dissemination of data.	0
2	To follow latest developments in the field and direct personal studies accordingly within the framework of the lifelong learning principle.	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	3	42
Preliminary & Further Study	14	3	42
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	3	3	9
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	15	3	45
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	10	1	10
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	58	0	150