1. SECOND CYCLE - MASTER'S DEGREE
  2. THE GRADUATE SCHOOL OF SOCIAL SCIENCES
  3. ECONOMETRICS DEPARTMENT
  4. 2405 ECONOMETRICS
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKOM 529LINEAR MODELS5 + 01st Semester7,5

COURSE DESCRIPTION
Course Level Master's Degree
Course Type Elective
Course Objective The aim of this couses is to give the methods about general procedures of estimation and hypothesis tests for linear statistical models in research works.
Course Content 1. Matrix 2. Distributions and quadratic forms 3. Regression or full rank model 4. Regression on dummy variables 5. Models not of full rank 6. One way analysis of variances 7. Two way analysis of variances 8. Two way nested analysis of variances 9. Variance components
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1to have information about linear statistical models
2To execute with matrix
3distributions and quadratic forms
4To have information about detailed analysis of variance

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001            
LO 002            
LO 003            
LO 004            
Sub Total            
Contribution000000000000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14570
Hours for off-the-classroom study (Pre-study, practice)14570
Assignments11010
Mid-terms12020
Final examination12525
Total Work Load

ECTS Credit of the Course





195

7,5
COURSE DETAILS
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L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes