sap course 1429477803

Course Code & Number:

IE 232

Course Title:

Mathematical Modeling and Optimization I

Level:

BS

Credit Hours/ ECTS Credits:

(3+0+0) 3 TEDU Credits, 6 ECTS Credits

Catalog Description:

Linear programming models. Graphical solutions. Interpretation of solutions.The simplex method, duality, sensitivity analysis, and related topics.

Pre-requisite / Co-requisite:

Pre-requisites: ( MATH 203 OR MATH 112 )
Co-requisites: NONE
Year of Study: 
Sophomore
Semester: 
Spring
Type: 
Compulsory
Mode of Delivery: 
Face-to-face
Language: 
English
Objectives: 

The goal of this course is to teach formulating and solving complex optimization problems via linear programming models. It aims to teach the graphical method and simplex algorithm, and also cover sensitivity analysis and duality to illustrate how a given solution can be utilized to gain a more general understanding of the analyzed scenario under different conditions. Applications of linear programming to some fundamental problems such as transportation, assignment and transshipment problems are also presented.

Learning Outcomes: 

Upon succesful completion of this course, a student will be able to
1. Formulate deterministic continuous optimization problems with a single objective as a linear program. (e, B5)
2. Solve small problems with the simplex method (e, B3)
3. Solve large problems by using solver software. (k, e, B3)
4. Translate a given linear program into dual form (e, B3)
5. Interpret the dual of a given linear program. (e,B3)
6. Perform sensitivity analysis on the optimum solution of a given linear program. (e,B4)
7. Interpret the characteristics of the transportation, assignment and transshipment problems. (e.B3)

Learning Activities and Teaching Methods: 
Telling/Explaining
Discussion/Debate
Questioning
Reading
Problem Solving
Inquiry
Collaborating
Assessment Methods and Criteria: 
Test / Exam
Quiz/Homework
Others

Student Workload:

Quizzes /Homeworks
40
hrs
Midterm Exam 1
12
hrs
Midterm Exam 2
12
hrs
Final Exam
18
hrs
Case Study Analysis
12
hrs
Others
72
hrs

Prepared By:

Mehmet Rüştü Taner

Revised By:

sap_editor