Information Package / Course Catalogue
Quantitative Analysis Techniques
Course Code: ECO413
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The aim of this course is to provide students with theoretical and practical knowledge about quantitative decision methods, which are widely used in the field of economics and finance.

Course Content

Decision Analysis, Linear Programming, Transportation, Assigment, and Network Models, Integer Programming, Goal Programming, and Nonlinear Programming...

Name of Lecturer(s)
Learning Outcomes
1.Gain knowledge about the basic numerical methods used in the fields of economy and finance.
2.Is able to demonstrate both mathematical and statistical techniques and apply them in the economic context.
3.Is able to make an econometrical model and choose the appropriate method to estimate it and test the hypothesis and select the best model.
4.Gains the ability to construct a mathematical model of decision-making problems, to search for the most appropriate solution and to solve by formulate it.
5.Gains the ability to use computer software such as Excel, SPSS, R etc. to research the solution of mathematical models.
Recommended or Required Reading
1.Osman HALLAÇ - Kantitatif Karar Verme Teknikleri, Alfa Yayınları Ders Kitapları.
2.Alptekin ESİN - Yöneylem Araştırmasında Yararlanılan Karar Yöntemleri, Gazi Kitabevi.
3.Paul R. THIE, Gerard E. KEOUGH – An Introduction to Linear Programming and Game Theory, John Wiley and Sons.
4.David R. ANDERSON, Dennis J. SWEENEY, Thomas A. WILLIAMS, Jeffrey D. CAMM, Kipp MARTIN - Introduction to Management Science:Quantitative Approaches to Decision Making, South Western College Publishing.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to Quantitative Analysis
Week 2 - Theoretical
Decision Analysis
Week 3 - Theoretical
Linear Programming: Modeling
Week 4 - Theoretical
Linear Programming: Graphical Methods
Week 5 - Theoretical
Linear Programming: The Simplex Method
Week 6 - Theoretical
Linear Programming: Sensitivity Analysis and Duality
Week 7 - Theoretical
Transportation, Assigment, and Network Models
Week 8 - Theoretical
Integer Programming, Goal Programming, and Nonlinear Programming
Week 9 - Theoretical
Integer Programming, Goal Programming, and Nonlinear Programming
Week 10 - Theoretical
Project Management: PERT/CPM
Week 11 - Theoretical
Waiting Lines and Queuing Theory Models
Week 12 - Theoretical
Simulation
Week 13 - Theoretical
Game Theory
Week 14 - Theoretical
Statistical Quality Control
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Individual Work140570
Midterm Examination115116
Final Examination121122
TOTAL WORKLOAD (hours)150
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
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
3
2
3
5
2
3
4
OÇ-2
3
2
4
5
2
4
5
OÇ-3
3
2
3
5
2
3
4
OÇ-4
3
2
4
5
2
4
5
OÇ-5
Adnan Menderes University - Information Package / Course Catalogue
2026