School/Faculty/Institute |
Faculty of Econ., Admin. and Social Sciences |
Course Code |
MATH 103 |
Course Title in English |
Mathematics for Social Sciences I |
Course Title in Turkish |
Sosyal Bilimler için Matematik I |
Language of Instruction |
EN |
Type of Course |
Lecture |
Level of Course |
Introductory |
Semester |
Fall |
Contact Hours per Week |
Lecture: 3 |
Recitation: 0 |
Lab: 0 |
Other: 0 |
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Estimated Student Workload |
144 hours per semester |
Number of Credits |
6 ECTS |
Grading Mode |
Standard Letter Grade
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Pre-requisites |
None |
Expected Prior Knowledge |
None |
Co-requisites |
None |
Registration Restrictions |
Only undergraduate students |
Overall Educational Objective |
To learn the mathematical subjects that are necessary for economics and business education. |
Course Description |
This course covers fundamental topics of single-variable functions and single-variable calculus. Topics include functions, graphs of functions, properties of functions, differentiation, derivatives in use, and single-variable optimization.
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Course Description in Turkish |
Bu ders, tek değişkenli fonksiyonlar ve tek değişkenli cebirin temel konularını kapsar. İçerdiği konular fonksiyonlar, fonksiyonların grafikleri, fonksiyonların özellikleri, türev, türevin kullanım alanları ve tek değişkenli optimizasyon şeklindedir.
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Course Learning Outcomes and Competences
Upon successful completion of the course, the learner is expected to be able to:
1) Comprehend the following mathematical subjects that are widely used in economic and business applications: functions including exponential and logarithmic functions; extreme points, elasticity, and derivatives,
2) Understand the concept of functions, sketch a graph of a function by examining the characteristics of the function;
3) Apply differentiation rules to compute derivatives of common classes of functions;
4) Interpret the economic optimization problems and find the best mathematical ways to solve them
5) Relate the mathematical concepts with possible economical and business applications that will help to evaluate real and business life issues and giving managerial decisions.
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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 |
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2) |
Demonstrates knowledge and skills in understanding the interactions of different areas of economics. |
N |
|
3) |
Displays a sound comprehension of microeconomic and macroeconomic theory.
|
N |
|
4) |
Applies economic concepts to solve complex problems and enhance decision-making capability. |
N |
|
5) |
Uses quantitative techniques to analyze different economic systems.
|
S |
|
6) |
Applies theoretical knowledge to analyze issues regarding Turkish and global economies. |
N |
|
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.
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N |
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9) |
Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. |
S |
|
10) |
Exhibits individual and professional ethical behavior and social responsibility. |
N |
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11) |
Displays learning skills necessary for further study with a high degree of autonomy |
S |
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Prepared by and Date |
MURAT ÖZTÜRK , December 2023 |
Course Coordinator |
DİLA ASFUROĞLU |
Semester |
Fall |
Name of Instructor |
Assoc. Prof. Dr. YASEMİN ASU ÇIRPICI |
Course Contents
Week |
Subject |
1) |
Introductory Topics (Chapter 1-3) |
2) |
Functions (Sections 4.1-4.5) |
3) |
Functions (Sections 4.6-4.10) |
4) |
Properties of Functions (Section 5.1-5.3) |
5) |
Properties of Functions (Section 5.4-5.6) |
6) |
Differentiation (Section 6.1-6.4) |
7) |
Differentiation (Section 6.5-6.8) |
8) |
Differentiation (Section 6.9-6.11) |
9) |
Review Week |
10) |
Derivatives in Use (Sections 7.1-7.3) |
11) |
Derivatives in Use (Sections 7.4-7.7) |
12) |
Derivatives in Use (Sections 7.8-7.12) |
13) |
Single-Variable Optimization (Sections 8.1-8.3) |
14) |
Single-Variable Optimization (Sections 8.4-8.7) |
15) |
Final Examination Period |
16) |
Final Examination Period |
Required/Recommended Readings | Essential Mathematics for Economic Analysis, 4th Edition by Knut Sydsaeter, Peter Hammond and Arne Strom, Published by Pearson, 2012. |
Teaching Methods | Lectures (Flipped Learning) |
Homework and Projects | none |
Laboratory Work | none |
Computer Use | none |
Other Activities | none |
Assessment Methods |
Assessment Tools |
Count |
Weight |
Attendance |
14 |
% 10 |
Midterm(s) |
2 |
% 40 |
Final Examination |
1 |
% 50 |
TOTAL |
% 100 |
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Course Administration |
cirpiciy@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.
The grade of the final exam will be counted for the exams that you missed upon the faculty’s approval of your excuse.
Mathematics is best learned by practice. The students are expected to be open-minded and eager to try and fail.
Academic Dishonesty and Plagiarism: YOK Regulation
IMPORTANT: To be able to enter the final exam you need at least 20% success rate from pre-final assessment methods. |