Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Industrial Engineering
  • Master of Arts (MA) Degree
  • Course Structure Diagram with Credits
  • Mathematical Programming
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title ENM514 - Mathematical Programming
Course Type Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s) DOKTOR ÖĞRETİM ÜYESİ NERGİZ KASIMBEYLİ
Mode of Delivery The mode of delivery of this course is face-to-face.
Prerequisites Calculus, Linear Algebra, OR
Courses Recomended
Recommended Reading List
Assessment methods and criteria Two midterm and one final exam . Two midterm and the final exams are classic .
Work Placement Applied course for one hour per week.
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Transportation problem. Production planning problem. GAMS code of the problems and solutions.
Week - 2 The Diet Problem. A GAMS Code to Solve the Diet Problem. The Network Flow Problem. A GAMS Code to Solve the Network Flow Problem.
Week - 3 The Portfolio optimization problem and using GAMS code to solve it.
Week - 4 Mixed-Integer linear programming. The 0-1 Knapsack problem and an input GAMS file to solve this problem.
Week - 5 Identifying relevant symptoms and an input GAMS file to solve this problem
Week - 6 The academy problem and an input GAMS file to solve this problem. School timetable problem and an input GAMS file to solve this problem
Week - 7 Models of Discrete Location and an Input GAMS File to Solve This Problem
Week - 8 Nonlinear programming. Some geometrical problems. The postal package problem. The tent problem. The surface problem. An Iinput GAMS file to solve these problems.
Week - 9 Some useful modeling tricks. Understanding the set of all feasible solutions. Lines, Planes, Hyperplanes
Week - 10 Linear Spaces. Basis and Dimensions of linear Vector Spaces
Week - 11 Convex sets. Polyhedral sets. Cones. Extreme Points. Extreme Directions.

Learning Activities and Teaching Methods

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100
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