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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS EMT 4015 ECONOMETRICS FOR CROSS-SECTIONAL DATA ELECTIVE 3 0 0 5

Offered By

Econometrics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR HAMDI EMEÇ

Offered to

Econometrics Econometrics (Evening)

Course Objective

After the introductory econometrics course, Understanding the econometric techniques to build models of cross-sectional data

Learning Outcomes of the Course Unit

1   To be able to prepare the questionnaire survey to investigate the problem and make the introduction of the computer program and edit data 2   To be able to identify and test research hypotheses. 3   To be able to obtain and interpret descriptive statistics with computer programs 4   To be able to Establish a model for cross-sectional data and established models to interpret 5   To be able to prepare the research report and presentation

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Determination of the research problem and purpose , appropriate to the purpose of the survey questionnaire Preparation of Form 2 Determining the research hypothesis and Implementation Research ( Field Studies ) 3 Entering the survey results into the package program 4 obtain to Descriptive statistics, frequency of the table, graphics, the calculation results from the package programme 5 Interpretation of Descriptive Statistics 6 Analysing of Relationship Between Two Quantitative Variables Correlation with package program and Plotting the scatter diagram 7 Implementation and Comparison of Parametric and Non-Parametric Hypothesis Testing 8 Applications 9 Mid-Term 10 Package Program Practices Regarding Regression Analysis 11 Package Program Practices Regarding Regression Analysis -Continue 12 Suitable Model Selection 13 Preparing research report 14 Design and Presentation of Research Results 15 Applications

Recomended or Required Reading

1. Temel Ekonometri (2012), Damodar N.GUJARATI, Dawn C. PORTER (Çev. Ümit ŞENESEN-Gülay Günlük ŞENESEN), Litaratür Yayıncılık, Istanbul. 2. Ekonometri (2014), Recep TARI, Umuttepe Yayınları, Kocaeli Üniversitesi. 3. EKONOMETRIYE GIRIŞ MODERN YAKLAŞIM; Wooldridge, 2013

Planned Learning Activities and Teaching Methods

1- Lecture Method, 2- Demonstration Method with Applications

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

To be announced.

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 3 42 Preparation for midterm exam 1 19 19 Preparation for final exam 1 19 19 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 124

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 LO.1 1 LO.2 1 LO.3 1 1 1 1 LO.4 LO.5