| School/Faculty/Institute | Faculty of Economics, Administrative and Social Sciences | ||||
| Course Code | ECON 205 | ||||
| Course Title in English | Mathematics for Economists | ||||
| Course Title in Turkish | Ekonomistler için Matematik | ||||
| Language of Instruction | EN | ||||
| Type of Course | Flipped Classroom | ||||
| Level of Course | Introductory | ||||
| Semester | Fall | ||||
| Contact Hours per Week |
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| Estimated Student Workload | 126 hours per semester | ||||
| Number of Credits | 5 ECTS | ||||
| Grading Mode | Standard Letter Grade | ||||
| Pre-requisites |
MATH 104 - Mathematics for Social Sciences II |
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| Expected Prior Knowledge | Knowledge of basic mathematical concepts and tools | ||||
| Co-requisites | None | ||||
| Registration Restrictions | Only undergraduate students | ||||
| Overall Educational Objective | Learn the mathematical subjects that are necessary for economics students. | ||||
| Course Description | The aim of the course is to give students further mathematical equipment needed for micro and macro analysis in Economics. This course teaches methods for dynamic analysis, multivariable calculus, unconstrained and constrained optimization techniques, multivariable optimization, matrix algebra and linear programming. | ||||
| Course Description in Turkish | Dersin amacı, öğrencilere Ekonomi alanında mikro ve makro analiz için gerekli ileri matematiksel ekipman sağlamaktır. Bu ders dinamik analiz, çok değişkenli kalkülüs, kısıtsız ve kısıtlı optimizasyon teknikleri, çok değişkenli optimizasyon, matrisler ve lineer programlama yöntemlerini öğretir. |
Course Learning Outcomes and CompetencesUpon successful completion of the course, the learner is expected to be able to:1) Formalize economic phenomena by using mathematical tools and select the proper methods for economic analysis 2) Learn methods of multivariable calculus, unconstrained and constrained optimization; solve optimization problems 3) Use integration techniques for applications in economics 4) Learn matrix algebra and solve systems of linear equation via matrices 5) Apply these methods to micro- and macro-economic analysis; draw intuitive conclusions regarding economic problems from these mathematical models |
| Program Learning Outcomes/Course Learning Outcomes | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|
| 1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | |||||
| 2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | |||||
| 3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | |||||
| 4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | |||||
| 5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | |||||
| 6) Internalization and dissemination of professional ethical standards. | |||||
| 7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | |||||
| 8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | |||||
| 9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | |||||
| 10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | |||||
| 11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | |||||
| 12) Ability to acquire knowledge independently, and to plan one’s own learning. | |||||
| 13) Demonstration of advanced competence in the clarity and composition of written work and presentations. |
| N None | S Supportive | H Highly Related |
| Program Outcomes and Competences | Level | Assessed by | |
| 1) | Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. | N | |
| 2) | Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. | N | |
| 3) | Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. | H | Exam,HW,Participation |
| 4) | Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. | N | |
| 5) | Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. | N | |
| 6) | Internalization and dissemination of professional ethical standards. | N | |
| 7) | Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. | N | |
| 8) | Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). | N | |
| 9) | Recognition, understanding, and respect for the complexity of sociocultural and international diversity. | S | Participation |
| 10) | Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. | S | HW,Participation |
| 11) | Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. | N | |
| 12) | Ability to acquire knowledge independently, and to plan one’s own learning. | S | Exam,HW |
| 13) | Demonstration of advanced competence in the clarity and composition of written work and presentations. | H | Exam,HW |
| Prepared by and Date | DİLA ASFUROĞLU , October 2024 |
| Course Coordinator | DİLA ASFUROĞLU |
| Semester | Fall |
| Name of Instructor | Asst. Prof. Dr. DİLA ASFUROĞLU |
| Week | Subject |
| 1) | Recap of Differentiation |
| 2) | Recap of Differentiation |
| 3) | Integration |
| 4) | Integration |
| 5) | Integration |
| 6) | Methods and Applications of Integration |
| 7) | Methods and Applications of Integration |
| 8) | Multivariable Calculus |
| 9) | Multivariable Calculus |
| 10) | Multivariable Calculus |
| 11) | Linear Programming |
| 12) | Matrix Algebra |
| 13) | Matrix Algebra |
| 14) | Matrix Algebra |
| 15) | Final Examination Period |
| 16) | Final Examination Period |
| Required/Recommended Readings | Ernest F. Haeussler, Richard S. Paul, Richard J. Wood, Introductory Mathematical Analysis for Business, Economics, and the Life and Social Sciences, 13th ed. K. Sydsaeter & P. Hammond, Essential Mathematics for Economic Analysis | |||||||||||||||
| Teaching Methods | Lectures (Flipped Classroom) | |||||||||||||||
| Homework and Projects | None | |||||||||||||||
| Laboratory Work | None | |||||||||||||||
| Computer Use | None | |||||||||||||||
| Other Activities | None | |||||||||||||||
| Assessment Methods |
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| Course Administration |
asfuroglud@mef.edu.tr More detailed information about the course, like office hours, can be found in the course manual. Attendance is not required, but strictly advised. Missing pop-up and pre-quizzes: No make up |
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| Activity | No/Weeks | Hours | Calculation | ||||
| No/Weeks per Semester | Preparing for the Activity | Spent in the Activity Itself | Completing the Activity Requirements | ||||
| Course Hours | 14 | 2 | 3 | 1 | 84 | ||
| Quiz(zes) | 14 | 2 | 1 | 0.5 | 49 | ||
| Total Workload | 133 | ||||||
| Total Workload/25 | 5.3 | ||||||
| ECTS | 5 | ||||||