|
EKO3013 | Professional English | 3+0+0 | ECTS:4 | Year / Semester | Fall Semester | Level of Course | First Cycle | Status | Elective | Department | DEPARTMENT of ECONOMETRICS | Prerequisites and co-requisites | None | Mode of Delivery | | Contact Hours | 14 weeks - 3 hours of lectures per week | Lecturer | Prof. Dr. Rahmi YAMAK | Co-Lecturer | | Language of instruction | Turkish | Professional practise ( internship ) | None | | The aim of the course: | The aim of this course is to provide students with the ability to use English effectively in the field of econometrics and to improve their English skills and enable them to follow econometrics in international literature. |
Learning Outcomes | CTPO | TOA | Upon successful completion of the course, the students will be able to : | | | LO - 1 : | understand econometrics and statistical terms correctly by learning the English equivalents of basic econometrics terms and concepts | 6 | 1, | LO - 2 : | acquire English linguistic skills at a level to follow new
developments in the field of econometrics.
| 6 | 1, | LO - 3 : | improve their statistical analysis skills in English, such as creating econometric models, making predictions and inferences. | 6 | 1, | LO - 4 : | use econometric resources effectively in academic research | 6 | 1, | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | |
Basic statistical and econometric concepts, evaluation of program outputs such as Eviews, SPSS and Stata. |
|
Course Syllabus | Week | Subject | Related Notes / Files | Week 1 | Basic Statistics Concepts - 1: Population, Sample, Parameter, Statistics | | Week 2 | Basic Statistics Concepts - 2: Descriptive Statistics | | Week 3 | Basic Statistics Concepts - 3: Interpretive Statistic | | Week 4 | Basic Statistics Concepts - 4: Probability | | Week 5 | Basic Statistics Concepts - 5: Distributions | | Week 6 | Basic Statistics Concepts - 6: Sampling | | Week 7 | Basic Econometrics Concepts - 1: Regression Analysis | | Week 8 | Basic Econometrics Concepts - 2: Multiple Regression | | Week 9 | Mid-term exam | | Week 10 | Basic Econometrics Concepts - 3: Individual Significance Test of Regression Coefficients | | Week 11 | Basic Econometrics Concepts - 4: Anova Table, F-Test and Determination Coefficient | | Week 12 | Basic Econometrics Concepts - 5: Specification in Regression Equations | | Week 13 | Basic Econometrics Concepts - 5: Specification in Regression Equations | | Week 14 | Basic Econometrics Concepts - 7: Multicollinearity | | Week 15 | Basic Econometrics Concepts - 8: Heteroskedasticity Tests | | Week 16 | End-of-term exam | | |
1 | Gujarati, D. Basic Econometrics, 2004 | | 2 | Iman, R. L. and Conover, W. J., 1983, Modern Business Statistics, John Wiley & Sons, New York. | | |
Method of Assessment | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | Mid-term exam | 9 | 11/2023 | 1 | 50 | End-of-term exam | 16 | 01/2024 | 1 | 50 | |
Student Work Load and its Distribution | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | Yüz yüze eğitim | 3 | 14 | 42 | Sınıf dışı çalışma | 3 | 14 | 42 | Arasınav için hazırlık | 6 | 2 | 12 | Arasınav | 1 | 1 | 1 | Dönem sonu sınavı için hazırlık | 11 | 2 | 22 | Dönem sonu sınavı | 1 | 1 | 1 | Total work load | | | 120 |
|