| School/Faculty/Institute |
Faculty of Econ., Admin. 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 |
| Lecture: 3 |
Recitation: 0 |
Lab: 0 |
Other: 0 |
|
| 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
|
| 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 Competences
Upon 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
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| Program Learning Outcomes/Course Learning Outcomes |
1 |
2 |
3 |
4 |
5 |
| 1) Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. |
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| 2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics. |
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| 3) Displays a sound comprehension of microeconomic and macroeconomic theory.
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| 4) Applies economic concepts to solve complex problems and enhance decision-making capability. |
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| 5) Uses quantitative techniques to analyze different economic systems.
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| 6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. |
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| 7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. |
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| 8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
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| 9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. |
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| 10) Exhibits individual and professional ethical behavior and social responsibility. |
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| 11) Displays learning skills necessary for further study with a high degree of autonomy |
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Relation to Program Outcomes and Competences
| N None |
S Supportive |
H Highly Related |
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| |
Program Outcomes and Competences |
Level |
Assessed by |
| 1) |
Has a broad understanding of economics with a deep exposure to other social sciences and mathematics. |
H |
Exam
|
| 2) |
Demonstrates knowledge and skills in understanding the interactions of different areas of economics. |
H |
|
| 3) |
Displays a sound comprehension of microeconomic and macroeconomic theory.
|
H |
|
| 4) |
Applies economic concepts to solve complex problems and enhance decision-making capability. |
H |
|
| 5) |
Uses quantitative techniques to analyze different economic systems.
|
N |
Exam
|
| 6) |
Applies theoretical knowledge to analyze issues regarding Turkish and global economies. |
S |
|
| 7) |
Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data. |
N |
|
| 8) |
Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
|
S |
|
| 9) |
Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. |
S |
Exam
|
| 10) |
Exhibits individual and professional ethical behavior and social responsibility. |
N |
|
| 11) |
Displays learning skills necessary for further study with a high degree of autonomy |
S |
Exam
|
| Prepared by and Date |
DİLA ASFUROĞLU , October 2017 |
| Course Coordinator |
DİLA ASFUROĞLU |
| Semester |
Fall |
| Name of Instructor |
Asst. Prof. Dr. NAROD ERKOL |
Course Contents
| 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 |
| Assessment Tools |
Count |
Weight |
| Attendance |
14 |
% 10 |
| Quiz(zes) |
5 |
% 10 |
| Midterm(s) |
4 |
% 80 |
| TOTAL |
% 100 |
|
| 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 |
Information Package / Course Catalogue