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Course Description Course Name : Econometrics I Course Code : EM 301 Course Type : Compulsory Level of Course : First Cycle Year of Study : 3 Course Semester : Fall (16 Weeks) ECTS : 6 Name of Lecturer(s) : Prof.Dr. HASAN ALTAN ÇABUK Prof.Dr. SEDA ŞENGÜL Learning Outcomes of the Course : Understands econometrics. Establishes econometrics model. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : This course Econometrics, Economics and Finance Sections are registered with the knowledge of basic mathematics and statistics İ.İ.B. School aims to teach students the methods of basic econometrics. This course titles contained in the above-mentioned branches of econometric applications for students who want to do the research aims to support their work areas Course Contents : Econometrics, econometrics methods, econometrics models 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 Subject of Econometrics and History of Econometrics Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression 2 Some Basic Mathematics and Statistics Rules Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression 3 Mathematical form for Economics Theory Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression 4 Simple Linear Regression Model: OLS Estimation Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression, problem solving 5 Simple Linear Regression Model: Properties of Econometrics and Assumptions Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression 6 Simple Linear Regression Model: Interval Estimation, Forecast, Test of Hypotesis Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression, problem solving 7 Problem solving Students will be prepared by studying relevant subjects from source books according to weekly program problem solving 8 Midterm Examination 9 Multiple Linear Regression Model: OLS Estimation Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression, problem solving 10 Multiple Linear Regression Model:Properties of Econometrics and Assumptions Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression 11 Multiple Linear Regression Model: OLS Estimation with Method of Deviation from Mean Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression, problem solving 12 Multiple Linear Regression Model: Interval Estimation, Forecast, Test of Hypotesis Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression, problem solving 13 Multiple Linear Regression Model: F test Students will be prepared by studying relevant subjects from source books according to weekly program Direct expression, problem solving 14 Problem solving Students will be prepared by studying relevant subjects from source books according to weekly program problem solving 15 Problem solving Students will be prepared by studying relevant subjects from source books according to weekly program problem solving 16/17 Final Examination   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Tümay ERTEK,Introduction to Econometrics, Beta yayınları, 2.Baskı, İstanbul, 1996  Domar, N. Gujarati, Basic Econometrics, Litatür Yayıncılık, 1. Baskı, İstanbul, 1999. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 90     Homeworks/Projects/Others 5 10 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 Models problems with Mathematics, Statistics, and Econometrics 4 2 Explains Econometric concepts 5 3 Estimates the model consistently and analyzes & interprets its results 4 4 Acquires basic Mathematics, Statistics and Operation Research concepts 4 5 Equipped with the foundations of Economics, and develops Economic models 3 6 Describes the necessary concepts of Business 2 7 Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 5 8 Collects, edits, and analyzes data 4 9 Uses a package program of Econometrics, Statistics, and Operation Research 1 10 Effectively works, take responsibility, and the leadership individually or as a member of a team 3 11 Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 3 12 Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied 5 13 Uses Turkish and at least one other foreign language, academically and in the business context 4 14 Good understanding, interpretation, efficient written and oral expression of the people involved 2 15 Questions traditional approaches and their implementation while developing alternative study programs when required 5 16 Recognizes and implements social, scientific, and professional ethic values 4 17 Follows actuality, and interprets the data about economic and social events 4 18 Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 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 5 25     Mid-term Exams (Written, Oral, etc.) 1 16 16     Final Exam 1 18 18 Total Workload: 143 Total Workload / 25 (h): 5.72 ECTS Credit: 6