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Course Description Course Name : Econometrics I Course Code : IEM 701 Course Type : Optional Level of Course : Second Cycle Year of Study : 1 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. HASAN ALTAN ÇABUK Learning Outcomes of the Course : Learns about the basic econometric methods. Gains knowledge to do research in econometrics Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Econometrics is concerned with the estimation of the economic relations and testing hypotheses regarding economic behavior and the prediction of behavior of economic variables. The course covers matrices and economic problems in the context of the implementation of the single-equation linear regression model, method of least squares, generalized least squares, and other extensions of the standard model, the development of a single-equation model and the model equation under special circumstances. Course Contents : Topics in econometrics, its history, some of the basic rules of mathematics and statistics, economics posited a mold mathematical theorem, a simple classical linear regression model, multiple classical linear regression model, some deviations from the classical linear regression model, some other issues related to linear regression Language of Instruction : Turkish Work Place : classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Topics in Econometrics Reading relevant parts in the source books according to weekly program Lecture 2 History of Econometrics Reading relevant parts in the source books according to weekly program Lecture 3 Some Basic Rules of Mathematics and Statistics Reading relevant parts in the source books according to weekly program Lecture 4 Mathematical form of economic theory Reading relevant parts in the source books according to weekly program Lecture 5 Classical Linear Regression Model Reading relevant parts in the source books according to weekly program Lecture 6 Multi-Classical Linear Regression Model Reading relevant parts in the source books according to weekly program Lecture 7 Deviations from Classical Linear Regression Model Reading relevant parts in the source books according to weekly program Lecture 8 Midterm examination 9 Some other topics related to Linear Regression Reading relevant parts in the source books according to weekly program Lecture 10 Repetition of Multivariate Linear Regression Model and Linear Hypothesis Testing Reading relevant parts in the source books according to weekly program Lecture 11 Deviations from Multivariate linear regression model Reading relevant parts in the source books according to weekly program Lecture 12 Structural Change and Dummy Variables Reading relevant parts in the source books according to weekly program Lecture 13 Repetition of some other topics related to the linear regression model Reading relevant parts in the source books according to weekly program Lecture 14 Multiple Equation Econometric Models Reading relevant parts in the source books according to weekly program Lecture 15 Multiple Equation Econometric Models, Introduction to modern time series analysis Reading relevant parts in the source books according to weekly program Lecture 16/17 Final examination   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Gujarati, D. N., 2004, McGraw Hill  Ramanathan, R., 2002, Harcourt College Publishers  Johnston, J., 1984, McGraw Hill Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 5 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 Explains Econometric concepts 5 2 Equipped with the foundations of Economics, develops Economic models 5 3 Models problems using the knowledge of Mathematics, Statistics, and Econometrics 3 4 Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 4 5 Collects, edits, and analyzes data 4 6 Uses advanced software packages concerning Econometrics, Statistics, and Operation Research 3 7 Develops the ability to use different resources in an area which has not been studied in the scope of academic rules, synthesizes the information gathered, and gives effective presentations 3 8 Speaks Turkish and at least one other foreign language in accordance with the requirements of academic and business life. 2 9 Questions traditional approaches and their implementation and develops alternative study programs when required 3 10 Recognizes and implements social, scientific, and professional ethic values 3 11 Gives a consistent estimate for the model and analyzes and interprets its results 5 12 Takes responsibility individually and/or as a member of a team; leads a team and works effectively 5 13 Defines the concepts of statistics, operations research and mathematics. 5 14 Knowing the necessity of life-long learning, follows the latest developments in the field of study and improves himself continiously 5 15 Follows the current issues, and interprets the data about economic and social events. 5 16 Understands and interprets the feelings, thoughts and behaviours of people and expresses himself/herself orally and in written form efficiently 5 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 5 10 50     Mid-term Exams (Written, Oral, etc.) 1 5 5     Final Exam 1 5 5 Total Workload: 144 Total Workload / 25 (h): 5.76 ECTS Credit: 6