Information Package / Course Catalogue
Econometrics
Course Code: UTB541
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

At the end of this course, students will learn factors affecting the demand and supply of food products, price formation in food products, international food markets, food marketing and distribution systems to evaluate.

Course Content

Basic concepts in Econometrics basic regression analysis and the regression analysis showed possible defects and correction methods will be shown.

Name of Lecturer(s)
Learning Outcomes
1.Will be dominated by issues of basic statistics and Econometrics.
2. Will be able to determine simple and multiple linear regression models.
3.Will be able to apply the results obtained from regression.
4.Will be able to apply methods that will make the regression model more flexible.
5. Will be able to see the strengths and limitations of regression analysis in applied economic research.
Recommended or Required Reading
1.• Recep TARI, Ekonometri, 3. Baskı, Avcı Ofset, Kocaeli Üniversitesi Yayını, İstanbul, 2005.
Weekly Detailed Course Contents
Week 1 - Theoretical
Regression Analysis
Week 2 - Theoretical
Two-Variable Regression Analysis
Week 3 - Theoretical
Two-Variable Regression Estimated
Week 4 - Theoretical
Two-variable Regression: estimation and pre December-SaaS Test
Week 5 - Theoretical
Estimated Multiple Regression
Week 6 - Theoretical
Problem Solving
Week 7 - Theoretical
Introduction Of The State Program In The Computer Lab
Week 8 - Theoretical
Introduction Of The State Program In The Computer Lab(Midterm)
Week 9 - Theoretical
Multicollinearity
Week 10 - Theoretical
Heteroscedasticity
Week 11 - Theoretical
Sequential Dependency
Week 12 - Theoretical
Practice and problem solving in the computer lab
Week 13 - Theoretical
Practice and problem solving in the computer lab
Week 14 - Theoretical
Practice and problem solving in the computer lab
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory1304070
Midterm Examination110212
Final Examination140343
TOTAL WORKLOAD (hours)125
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
OÇ-1
OÇ-2
OÇ-3
5
5
5
5
5
5
5
5
5
OÇ-4
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026