Logistics
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

General course introduction information

Course Code:

MIST102

Course Name:

Statistics

Course Semester:

Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	5

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Compulsory

Course Level:

Associate

TR-NQF-HE:5. Master`s Degree

QF-EHEA:Short Cycle

EQF-LLL:5. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Dr.Öğr.Üyesi DİLEK YALÇIN

Course Lecturer(s):

Dr.Öğr.Üyesi TANER KARASOY
Assoc. Prof. BİROL ALAS
Öğr.Gör. ALPER ÇELTİKÇİ
Assoc. Prof. AYNUR PALA
Dr.Öğr.Üyesi IŞILAY BİLGİÇ
Dr. BİLİNMİYOR BEKLER

Course Assistants:

Course Objective and Content

Course Objectives:	Vectors, forces, rectangular components, moment, couple, resultant. Two and three dimensional force systems. Equilibrium in two and three dimensions. Free body diagram. Plane trusses, method of joints, method of sections, space trusses, frames and mchines. Centers of mass and centroids. Cables. Friction. Virtual work
Course Content:	Importance of statistics, parameters, data, frequency, means, mode, standard deviation, variance, normal distribution

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Knows the concept of statistics.
2) Knows the frequency distribution of raw data
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Importance of statistics, data, variable, population, sample, parameter concepts, sample statistics
2)	Data types, compiling data, organizing data
3)	Data types, data compilation, data organ • Graphical representation of data: Histogram, frequency polygonization
4)	Arithmetic mean, median, mode
5)	Arithmetic mean, median, mode
6)	Mode, arithmetic mean, median and mode comparison
7)	Midterm
8)	Mode, arithmetic mean, median and mode comparison
9)	Change range, variance and standard deviation
10)	Change range, variance and standard deviation
11)	Change range, variance and standard deviation
12)	Meaning of standard deviation and measurement of variability
13)	Examples of normal distribution, presence of normal distribution area
14)	Use of standard normal distribution table, Simple random sampling, sampling error
15)	Final Exam
16)	Final Exam

Sources

Course Notes / Textbooks:	İstatistik (MYO`lar ve Banka, Finans ve Ticari İşlemler İçin), Ekrem Yıldız, Seçkin Yayıncılık, Şubat 2010
References:	Ders Notları

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2
Program Outcomes
1) Having theoretical and practical knowledge at the basic level supported by textbooks, application tools and other resources with up-to-date information in the field based on the competences gained at secondary level.
2) To gain the ability to use the same level of theoretical and applied knowledge at the same level in an advanced education level or the same field in the field. To be able to interpret and evaluate data, to identify and analyze data, to develop evidence-based solution proposals using basic knowledge and skills acquired in the field
3) To be able to transfer the thoughts at the level of basic knowledge and skills which are related to the field through written and oral communication. - Share ideas and suggestions for solutions to issues related to the field with experts and non-experts. - Using a foreign language at least in the European Language Portfolio A2 General Level to monitor information in the field and communicate with colleagues. - To be able to use information and communication technologies with the computer software at least at the European Computer Use License Basic Level required by the field.
4) Ability to evaluate the basic knowledge and skills acquired in the field with a critical approach, to be able to identify and meet learning needs. be able to lead their study to an advanced level of education or to a profession at the same level. Learning to survive is not a conscious winner.
5) Having social, scientific, cultural and ethical values in the stages of collecting, implementing and announcing the results related to the field. Universality of social rights, social justice, quality and cultural values and environmental protection, occupational health and safety issues.
6) Be able to carry out a basic level of work independently of the field. Take responsibility as a team member to solve complex and unforeseen problems encountered in field related applications. Carrying out activities for the development of employees under the responsibility of a project.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Having theoretical and practical knowledge at the basic level supported by textbooks, application tools and other resources with up-to-date information in the field based on the competences gained at secondary level.	1
2)	To gain the ability to use the same level of theoretical and applied knowledge at the same level in an advanced education level or the same field in the field. To be able to interpret and evaluate data, to identify and analyze data, to develop evidence-based solution proposals using basic knowledge and skills acquired in the field
3)	To be able to transfer the thoughts at the level of basic knowledge and skills which are related to the field through written and oral communication. - Share ideas and suggestions for solutions to issues related to the field with experts and non-experts. - Using a foreign language at least in the European Language Portfolio A2 General Level to monitor information in the field and communicate with colleagues. - To be able to use information and communication technologies with the computer software at least at the European Computer Use License Basic Level required by the field.	3
4)	Ability to evaluate the basic knowledge and skills acquired in the field with a critical approach, to be able to identify and meet learning needs. be able to lead their study to an advanced level of education or to a profession at the same level. Learning to survive is not a conscious winner.	1
5)	Having social, scientific, cultural and ethical values in the stages of collecting, implementing and announcing the results related to the field. Universality of social rights, social justice, quality and cultural values and environmental protection, occupational health and safety issues.	1
6)	Be able to carry out a basic level of work independently of the field. Take responsibility as a team member to solve complex and unforeseen problems encountered in field related applications. Carrying out activities for the development of employees under the responsibility of a project.	3

Learning Activity and Teaching Methods

Lesson

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	42	588
Midterms	1	1	1
Final	1	1	1
Total Workload			590