Information Package

Program of Economics (Turkish)

ECON344

MATHEMATICAL ECONOMICS II

Course Code
ECON344
Semester
-
Theory+Practice
3 + 0
ECTS
5
Course TypeElective Course
Course LevelBachelor's Degree
Year of Study-
Semester-
ECTS5
Name of Lecturer(s)
Learning Outcomes

At the end of this course, the students;

  1. Become familiar with expression of linear programming models used in economics. Understands variables, constants, constraints and objective functions in linear programming models.
  2. Become familiar with the solution and analysis methods used in economic models. Understands the simplex method, duality, sensitivity analysis and integer programming, Understands the solution of The Transportation Problem and similar problems.
  3. Become familiar with basic game theory solution techniques and solution of some game theory problems using linear programming methods.
Mode of DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionThis course examines mathematical techniques used in solving basic and intermediate micro and macro economic problems.
Course Contents
WEEK TOPICS
1st Week Mathematical Models
2nd Week The Linear Programming Model
3rd Week The Simplex Method
4th Week Duality
5th Week Sensitivity Analysis
6th Week Integer Programming
7th Week Midterm
8th Week The Transportation Problem
9th Week Two-Person, Zero-Sum Games
10th Week Other Topics In Game Theory
11th Week Other Topics In Game Theory
12th Week Other Topics In Game Theory
13th Week Other Topics in Linear Programming
14th Week Other Topics in Linear Programming
Recommended or Required ReadingPaul R. Thie, An Introduction to Linear Programming and Game Theory, John Wiley & Sons 0-471-62488-8
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 40
Total(%) 40
Contribution of In-term Studies to Overall Grade(%) 40
Contribution of Final Examination to Overall Grade(%) 60
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 1 1
Preparation for Quiz
Individual or group work 14 3 42
Preparation for Final exam 1 30 30
Course hours 14 3 42
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 1 1
Homework
Total Work Load141
Total Work Load / 30 (h)4.7
ECTS Credit of the Course5
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2 LO3
K1 X
K2
K3
K4
K5 X
K6 X
K7 X
K8 X
K9
K10
K11
K12
K13