The course covers specification, estimation and testing the validity of model , forcasting on its basis, as well as its application in bussiness and economic analysis.
Prerequisite(s)
None
Corequisite(s)
None
Special Requisite(s)
None
Instructor(s)
Assist. Prof. Dr. Burçin Ataseven
Course Assistant(s)
Schedule
Tuesday 09:00-10:50 BK L-03
Friday 11:00-12:50 BK L-04
Office Hour(s)
Thursday 10:00-15:00 BK 804
Teaching Methods and Techniques
Lectures, computer lab, power-point presentations
Principle Sources
“Statistics for Business and Economics“, McClave-Benson-Sincich, 2001
“Business Statistics”, Levine, Berenson, 2002
“Statistics for Business & Economics”, Paul Newbold,W.Carlson, 2002
“Quantitative Methods for Business & Economics”, G.Burton, 2002
Other Sources
Course Schedules
Week
Contents
Learning Methods
1. Week
Hypothesis Testing
Lectures, computer lab, power-point presentations
2. Week
Business applications
Lectures, computer lab, power-point presentations
3. Week
Correlation Analysis, excel applications
Lectures, computer lab, power-point presentations
4. Week
Simple regression model
Lectures, computer lab, power-point presentations
5. Week
Excel applications
Lectures, computer lab, power-point presentations
6. Week
Estimation,Standard assumptions
Lectures, computer lab, power-point presentations
7. Week
Multiple regression model
Lectures, computer lab, power-point presentations
8. Week
Model applications and excel
Lectures, computer lab, power-point presentations
9. Week
Dummy variable models
Lectures, computer lab, power-point presentations
10. Week
Non-linear regression model
Lectures, computer lab, power-point presentations
11. Week
Business applications
Lectures, computer lab, power-point presentations
12. Week
Defination of index
Lectures, computer lab, power-point presentations
13. Week
Computations of indicies
Lectures, computer lab, power-point presentations
14. Week
The index types in Turkey
Lectures, computer lab, power-point presentations
15. Week
Final Exam Week
Examination
16. Week
Final Exam Week
Examination
17. Week
Final Exam Week
Examination
Assessments
Evaluation tools
Quantity
Weight(%)
Midterm(s)
1
40
Final Exam
1
60
Program Outcomes
PO-1
Demonstrates a basic level of understanding in related disciplines (such as economics, sociology, psychology, quantitative sciences, etc.) that form a foundation for business administration, and makes use of and applies them to the field of business.
PO-2
Applies mathematical, scientific and social knowledge to business problems.
PO-3
Demonstrates a basic level of understanding in business functions and management (such as management, production, marketing, accounting, finance, human resources, behavioural sciences, etc.) and interprets the theoretical arguments focusing on interactions between the actors and the cultures in the field.
PO-4
Determines how to use acquired theoretical and practical knowledge and skills related to business in application and field analysis and applies them.
PO-5
Identifies and evaluates the relations in the field of business; describes the problems and presents analytical solutions through modelling and interpreting (critical thinking).
PO-6
Designs a business process in any functional stage that complies with identified objectives.
PO-7
Develops effective business communication skills (written-verbal/formal-informal).
PO-8
Owns effective working skills individually or on a team in business and multidisciplinary fields.
PO-9
Acts with a sense of professional and ethical responsibility.
PO-10
Improves effective verbal and written communication skills in English, and acquires competence in minimum one foreign language.
Learning Outcomes
LO-1
Evaluate the economic data with structure of analytical thinking
LO-2
Learn how to predict and model by analyzing the relationship of economic data
LO-3
Technical analysis and modeling in branches such as economics, finance
LO-4
Improvement of ability to make technical analysis in branches such as finance, marketing, economic
LO-5
Gain skill of applying mathematics, science and social knowledge to business problems
