MATH 103 Mathematics for Social Sciences IMEF UniversityDegree Programs EconomicsGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Economics
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

ECTS Course Information Package

School/Faculty/Institute Faculty of Economics, Administrative 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
Estimated Student Workload 144 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites None
Co-requisites None
Expected Prior Knowledge 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.

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
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.
2) Demonstrates knowledge and skills in understanding the interactions of different areas of economics.
3) Displays a sound comprehension of microeconomic and macroeconomic theory.
4) Applies economic concepts to solve complex problems and enhance decision-making capability.
5) Uses quantitative techniques to analyze different economic systems.
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies.
7) Demonstrates proficiency in statistical tools and mainstream software programs to process and evaluate economic data.
8) Behaves according to scientific and ethical values at all stages of economic analysis: data collection, interpretation and dissemination of findings.
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information.
10) Exhibits individual and professional ethical behavior and social responsibility.
11) Displays learning skills necessary for further study with a high degree of autonomy

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
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. 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 HW
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. N
9) Uses written and spoken English effectively (at least CEFR B2 level) to exchange scientific information. S Participation
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 HW
Prepared by and Date DİLA ASFUROĞLU , December 2023
Course Coordinator MUHAMMED ABDULLAH ALTUNDAL
Semester Fall
Name of Instructor Asst. Prof. Dr. DİLA ASFUROĞLU

Course Contents

Week Subject
1) Introductory Topics
2) Functions
3) Functions (Sections 4.6-4.10)
4) Properties of Functions
5) Properties of Functions
6) Differentiation
7) Differentiation (Section 6.5-6.8)
8) Differentiation (Section 6.9-6.11)
9) Review Week
10) Derivatives in Use
11) Derivatives in Use
12) Derivatives in Use
13) Single-Variable Optimization
14) Single-Variable Optimization
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsEssential Mathematics for Economic Analysis, 4th Edition by Knut Sydsaeter, Peter Hammond and Arne Strom, Published by Pearson, 2012.
Teaching MethodsLectures (Flipped Learning)
Homework and ProjectsYok
Laboratory WorkNone
Computer UseNone
Other ActivitiesParticipation, midterms and final exam
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 10
Midterm(s) 2 % 40
Final Examination 1 % 50
TOTAL % 100
Course Administration cirpiciy@mef.edu.tr

More detailed information about the course, like office hours, can be found in the syllabus. 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.

ECTS Student Workload Estimation

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 2 98
Midterm(s) 2 10 2 24
Final Examination 1 20 2 22
Total Workload 144
Total Workload/25 5.8
ECTS 6