Anadolu Info Package Anadolu Info Package
  • Info on the Institution
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Profile of the Programme Specific Admission Requirements Qualification Requirements and Regulations Recognition of Prior Learning Educational Staff Programme Director & ECTS Coord. Field Qualifications Key Learning Outcomes Course Structure Diagram with Credits Matrix of Program Outcomes&Field Qualifications Matrix of Course& Program Qualifications Examination Regulations, Assessment and Grading Graduation Requirements Access to Further Studies Occupational Profiles of Graduates
  • Graduate School
  • Department of Business Administration
  • Doctorate Degree (Ph.D)
  • Program in Finance
  • Course Structure Diagram with Credits
  • Applied Modelling in Businesses
  • Learning Outcomes
  • Description
  • Content
  • Learning Outcomes
  • Learning Activities and Teaching Methods
  • Course's Contribution to Prog.
  • Assessment Methods

  • will be able to define the main concepts in economic modeling, understand the nature of economic model building, carry out independent research and use STATA.
  • will able to define the main concepts in economic modeling
  • recognizes pratic supports of solving problem.
  • will be able to understand economic model building
  • carry out independent research
  • will be able to use STATA in economic analysis.
  • explain basic characteristics of scientific method.
  • defines scientific research.
  • lists stages of scientific research.
  • explains basic characteristics of scientific research.
  • categorizes types of scientific research.
  • recognize specifications of items which is in inner part of scientific researches.
  • explains sources of research problem in scientific research.
  • recognizes generic and specific criterions for choosing a problem in scientific research.
  • defines problem by stages in scientific research.
  • explains variables to recognize the problem in scientific research.
  • explains how the goal will be expressed in scientific research.
  • explains how significance will be written in scientific research.
  • explains how conjecture will be expressed in scientific research.
  • explains how limitations will be expressed in scientific research.
  • will be able understand and apply linear regression model
  • explains specifications of research model in scientific researches.
  • recognizes types of research model in scientific researches.
  • explains specifications of research model types in scientific researches.
  • explains specifications of population and sample in scientific researches.
  • reconizes types of sampling in scientific researches.
  • explains how sampling will be done in scientific researches.
  • recognizes what sampling errors are in scientific researches.
  • will be able understand and apply linear regression model
  • recognize data collection techniques in scientific research.
  • recognizes data collection techniques in scientific research.
  • explains basic characteristics of data collection by the way of questionnaire.
  • explains basic characteristics of data collection by the way of interview.
  • explains basic characteristics of data collection by the way of observation.
  • explains how data will be analyze which were collected according to data collection techniques in scientific research.
  • explain how summary, judgment, proposal and findings will be presented in scientific research.
  • explains definition and characteristics of finding in scientific research.
  • explains how findings will be interpreted in scientific research.
  • explains how summary, judgment and proposals will be presented in scientific research.
  • will be able understand and apply linear regression model
  • will be able to estimate linear regression model
  • will be able to carry out hypothesis testing
  • will be able to explain interpret the results of the linear regression model
  • will be able apply linear regression model using STATA.
  • will be able to analyse and apply Models with qualitative and limited dependent variables
  • tells when to use Models with qualitative and limited dependent variables
  • estimate and interpret Linear probability and Probit models
  • estimate and interpret Logit and Tobit models
  • apply Models with qualitative and limited dependent variables using STATA.
  • will be able to carry out analysis with Panel Data
  • understand the advantages of using Panel data in economic analysis.
  • estimate and interpret fixed effects models
  • estimate and interpret random effects models
  • detect heterogeneity and endogeneity and understand the consequences of them
  • estimate and interpret dynamic panel data models
  • apply Panel Data using STATA

  • Info on the Institution
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  • General Admission Requirements
  • Recognition of Prior Learning
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  • ECTS Credit Allocation
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  • Info on Degree Programmes
  • Doctorate Degree / Proficieny in Arts
  • Master's Degree
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  • Associate Degree
  • Open&Distance Education
  • Info for Students
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