Ders Planı

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CLASS 2

CLASS 3

Lesson plan / STATISTICS-II

Lesson Information

Course Credit	3.0
Course ECTS Credit	5.0
Teaching Language of Instruction	İngilizce
Level of Course	Bachelor's Degree, TYYÇ: Level 6, EQF-LLL: Level 6, QF-EHEA: First Cycle
Type of Course	Compulsory
Mode of Delivery	Face-to-face
Does the course require compulsory or optional work experience?	Z
Course Coordinator
Instructor (s)
Course Assistant	Alev Dilek Aydın and Burçin Kaplan

Purpose and Content

The aim of the course	To implement the fundamental statsitics concepts into business decisions.
Course Content	Tests of hypotheses (Z, t, x2, and F tests); Simple regression and correlation; Multiple regression and correlation; Problems of multicollinearity, heteroscedasticity, and auto-correlation; Dummy variables; Index numbers; time-series analysis; non parametric statistics.

Learning Outcomes

Comprehend the fundamental concepts and theories of Civil Aviation Management.
Analyze the relationships between fundamental concepts and theories of business administration and Civil Aviation Management.
Illustrate the theoretical frame drawn from business operations.
Comprehend the functions of the Civil Aviation Management.
Comprehend the formations shaped by national and international rules in civil aviation.
Comprehend the context of the underlying cases of national and international Civil Aviation Management.
Describe cause-effect relationships in the context of cases covered by national and international Civil Aviation Management cases.
Synthesis information on popular issues related to business administration generally and Civil Aviation Management particularly.
Comprehend the role of Civil Aviation in the operation of global and national economic systems.
Analyze the effect and the contributions of external stakeholders to the relationships between Civil Aviation organizations.
Analyze comments the power and benefit relationship between internal stakeholders.
Synthesis social and technical dimensions based on the integration between business operations.
Use creative, innovative and analytical thinking skills to solve Civil Aviation problem.
Use modern methods and technologies of business administration in the Civil Aviation environment.
Analyze data about business administration issues by qualitative and quantitative techniques.
Act as a team player to operate and to make a decision in Civil Aviation business organizations.
Organise the Civil Aviation Management operations with an entrepreneurial spirit.
Solve Civil Aviation Management problems quickly and effectively in the national and global competition environment and uses initiative.
Develop innovative and creative projects for Civil Aviation Management by using the accumulation of knowledge and skills.
Keep up to date the accumulation of knowledge and skill by following developments in the economics and business administration issues related to Civil Aviation..
Develop the planning, organisation, operation, coordination and auditing functions of the civil aviation management.
Develop the operations to comply with the structure of a civil aviation organization.
Adopt their way of behavior that will ensure compliance with the new conditions as parallel to changes in civil aviation. industry.
Communicate actively and constantly with other relations in civil aviation profession.
Solve problems by using advanced level of information technology.
Use English language to communicate effectively and fluently.
Act in accordance with moral and ethical concepts related to civil aviation
Analyze the relationships between civil aviation organizations and the related organizations.
Apply the innovative and creative thinking in the civil aviation fields.
Become conscious intended for the universality of democracy and human rights of the business environment, organizational justice, socio-cultural values in the way of business administration, and the environmental issues.

Weekly Course Subjects

1	Introduction
2	Introduction to Statsitcs II
3	Tests of hypotheses (Z, t, x2, and F tests)
4	Tests of hypotheses (Z, t, x2, and F tests)
5	Simple regression and correlation
6	Multiple regression and correlation
7	Multiple regression and correlation
8	Problems of multicollinearity, heteroscedasticity, and auto-correlation;
9	Midterm
10	Problems of multicollinearity, heteroscedasticity, and auto-correlation;
11	Dummy variables
12	Index numbers
13	time-series analysis
14	Final Review

Resources

Main textbook is the major material of this course.

CLASS 1

CLASS 2

CLASS 3

CLASS 4

Lesson Information

Purpose and Content

Learning Outcomes

Weekly Course Subjects

Resources

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