MATH 104 Mathematics for Social Sciences IIMEF 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 104
Course Title in English Mathematics for Social Sciences II
Course Title in Turkish Sosyal Bilimler için Matematik II
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Introductory
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: 0 Lab: 0 Other: 0
Estimated Student Workload 135 hours per semester
Number of Credits 6 ECTS
Grading Mode Standard Letter Grade
Pre-requisites MATH 103 - Mathematics for Social Sciences
Co-requisites None
Expected Prior Knowledge Knowledge of basic mathematical concepts and tools
Registration Restrictions Only undergraduate students
Overall Educational Objective Develop mathematical tools and techniques that enhance students' ability to analyze and solve economic problems
Course Description This course provides an introduction to calculus with an emphasis on applications in economics and business. Topics include differentiation, integration, functions of multiple variables, comparative statics, and optimization techniques.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Compute definite and indefinite integrals, apply integration techniques, and use integral calculus to analyze economic problems such as consumer and producer surplus;
2) Differentiate functions of multiple variables, compute partial derivatives, and apply these concepts to comparative statics and elasticity analysis in economics
3) Apply differentiation of integrals, and linear approximations to analyze small changes in models
4) Solve unconstrained optimization problems using first- and second-order conditions and apply these methods to economic decision-making
5) Use Lagrange multipliers to solve optimization problems
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. H Exam
3) Displays a sound comprehension of microeconomic and macroeconomic theory. H Exam
4) Applies economic concepts to solve complex problems and enhance decision-making capability. H Exam
5) Uses quantitative techniques to analyze different economic systems. N
6) Applies theoretical knowledge to analyze issues regarding Turkish and global economies. S HW
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 HW
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 Exam
Prepared by and Date DİLA ASFUROĞLU , November 2023
Course Coordinator MUHAMMED ABDULLAH ALTUNDAL
Semester Spring
Name of Instructor Asst. Prof. Dr. DİLA ASFUROĞLU

Course Contents

Week Subject
1) Introductory Topics
2) Introductory Topics
3) Integration
4) Integration
5) Integration
6) Functions of Many Variables
7) Functions of Many Variables
8) Review
9) Tools for Comparative Statics
10) Multivariable Optimization
11) Multivariable Optimization
12) Constrained Optimization
13) Constrained Optimization
14) Review
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 Classroom)
Homework and ProjectsNone
Laboratory WorkNone
Computer UseNone
Other ActivitiesParticipation, midterm exams and final exam
Assessment Methods
Assessment Tools Count Weight
Quiz(zes) 5 % 20
Midterm(s) 1 % 35
Final Examination 1 % 45
TOTAL % 100
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. Missing midterm exam: No make up unless a legitimate proof of absence is presented.

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
Quiz(zes) 5 1 5
Midterm(s) 1 8 2 10
Final Examination 1 20 2 22
Total Workload 135
Total Workload/25 5.4
ECTS 6