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Course Description Course Name : Mathematical Economics 1 Course Code : EM 315 Course Type : Compulsory Level of Course : First Cycle Year of Study : 3 Course Semester : Fall (16 Weeks) ECTS : 5 Name of Lecturer(s) : Asst.Prof.Dr. KENAN LOPÇU Asst.Prof.Dr. CEVAT BİLGİN Learning Outcomes of the Course : Acquires the essentials of microeconomic analysis and the mathematical techniques used. Performs the unconstrained and constrained optimization and comparative static analysis. Acquires the ability to interpret the solutions obtained economically. Gains and introductories exposure to the main quantitative techniques (econometrics and linear programming) used in the empirical analysis of demand, costs and supply decisions. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : This course is the first part of a two semester sequence designed to provide students with analytical tools and the quantitative techniques of economic analysis. To acquire effectively the information presented in class, students who are taking this class are expected to have basic knowledge of calculus (IEM 125-126), linear algebra (IEM 205) and microeconomics (IEC 201-202). The focus will be on the microeconomic analysis for this semester. The course will present an integrated approach to consumer theory and the derivation of individual and market demand functions; producer theory and the derivation of production, output supply, input demand, and cost and profit functions. Market structures and market equilibrium, resource allocation and efficiency will be formally analyzed. The course will also include an introduction to welfare economics and will acquaint students with the basic principles and analytical tools used in applied welfare economics and public finance. Course Contents : Subject Matters and Methodology, Market Theory and Structures, Consumer Theory and Demand Analysis, Producer Theory and Supply Analysis, Introduction to Welfare Economics and Linear Programming 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 Matters and Methodology Readings and problem set Lecture 2 Methodology Readings and problem set Lecture 3 Methodology Readings and problem set Lecture and problem session 4 Market Theory and Structures -output approach Readings and problem set Lecture 5 Market Theory and Structures -output approach Readings and problem set Lecture and problem session 6 Consumer Theory and Demand Analysis Readings and problem set Lecture 7 Consumer Theory and Demand Analysis Readings and problem set Lecture and problem session 8 Midterm Exam 9 Producer Theory and Supply Analysis-I Readings and problem set Lecture 10 Producer Theory and Supply Analysis-I Readings and problem set Lecture and problem session 11 Producer Theory and Supply Analysis-II Readings and problem set Lecture 12 Producer Theory and Supply Analysis-II Readings and problem set Lecture and problem session 13 Introduction to Welfare Economics Readings and problem set Lecture and problem session 14 Introduction to Linear Programming Readings and problem set Lecture and problem session 15 Review Readings and problem set Lecture and problem session 16/17 Final Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  . Alpha C. Chiang and Kevin Wainwright, Fundamental Methods of Mathematical Economics, 4th Edition, McGraw-Hill, 2005.  J.Handerson and R. Quandt, Microeconomic Theory: A Mathematical Approach, 3rd Edition, McGraw-Hill, 1980. Required Course Material(s)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 40     Homeworks/Projects/Others 6 60 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 5 2 Explains Econometric concepts 3 3 Estimates the model consistently and analyzes & interprets its results 4 4 Acquires basic Mathematics, Statistics and Operation Research concepts 5 5 Equipped with the foundations of Economics, and develops Economic models 5 6 Describes the necessary concepts of Business 3 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 3 9 Uses a package program of Econometrics, Statistics, and Operation Research 2 10 Effectively works, take responsibility, and the leadership individually or as a member of a team 4 11 Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 5 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 5 14 Good understanding, interpretation, efficient written and oral expression of the people involved 3 15 Questions traditional approaches and their implementation while developing alternative study programs when required 4 16 Recognizes and implements social, scientific, and professional ethic values 3 17 Follows actuality, and interprets the data about economic and social events 3 18 Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 3 * 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 6 5 30     Mid-term Exams (Written, Oral, etc.) 1 5 5     Final Exam 1 5 5 Total Workload: 124 Total Workload / 25 (h): 4.96 ECTS Credit: 5