Information Package / Course Catalogue
Mathematics For Economists
Course Code: TE310
Course Type: Required
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The aim of this course is to provide the students with the ability to use mathematical processes in economic analysis. In this context, it is targeted to enable them to understand how mathematical background may be used in statistical, econometric and optimization problems.

Course Content

The scope of mathematical economics, basic terminology, matrices, functions, derivatives and use of derivative in the economy, exponential functions, multivariate functions and their use in the economy, integral and its use in the economy

Name of Lecturer(s)
Learning Outcomes
1.Apply mathematical concepts (functions, matrices, limits, derivatives, integrals) to theoretical and applied areas specific to the disciplines of economics and agricultural economic.
2.Ability to mathematically formulate complex economic problems in agricultural economics (such as supply-demand balance and market equilibrium) and analyze them through appropriate linear or non-linear modeling methods.
3.Design and solve complex optimization systems, such as profit maximization and cost minimization, under the limited resources of agricultural enterprises using multivariate calculus methods.
4.Utilize matrix algebra and differential/difference equations to analyze data, investigate dynamic economic processes, and interpret outcomes encountered in agricultural economic research.
5.Report economic and mathematical analysis results individually in accordance with academic standards and professional ethical principles, and present them in a clear and comprehensible manner.
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Mathematıcal Model, Elements of Mathematical Models, Basic Mathematical Concepts
Week 2 - Theoretical & Practice
Matrıx, matrix operations
Week 3 - Theoretical & Practice
Special Matrices, Gaussian Method of Estimation in Linear Equation Systems
Week 4 - Theoretical & Practice
Determinants, inverse matrices
Week 5 - Theoretical & Practice
Finding the inverse a matrix by using the adjoint matrix Finding the inverse matrix by using Gaussian Method Solution of Linear Equation Systems by using Inverse Matrices Cramer's Method
Week 6 - Theoretical & Practice
Logarithmic functions
Week 7 - Theoretical & Practice
Elasticity Optimization Local Minimum and Maximum Points
Week 8 - Theoretical & Practice
Elasticity Optimization Local Minimum and Maximum Points continued
Week 9 - Theoretical & Practice
Elasticity Optimization Local Minimum and Maximum Points
Week 10 - Theoretical & Practice
Derıvatıve İn Multıvarıate Functıon
Week 11 - Theoretical & Practice
Optimization constrained optimization homogeneity
Week 12 - Theoretical & Practice
Integral
Week 13 - Theoretical & Practice
Calculating total costs using integration method Calculating total income using integration method Function of Consumption Expenditures
Week 14 - Theoretical & Practice
Consumption Expenditures Function
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%10
Presentation1%10
Midterm Examination1%20
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142256
Lecture - Practice141249
Presentation 1213
Midterm Examination1516
Final Examination1718
TOTAL WORKLOAD (hours)122
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
OÇ-1
5
4
1
2
3
1
1
2
2
3
2
OÇ-2
5
5
2
3
4
1
1
2
2
2
1
OÇ-3
5
5
4
3
4
1
1
2
2
4
2
OÇ-4
5
5
2
4
5
1
2
3
2
4
3
OÇ-5
4
3
1
3
1
5
2
5
2
2
Adnan Menderes University - Information Package / Course Catalogue
2026