Faculty Of Engıneerıng
Industrıal Engıneerıng (Englısh)
Course Information
| OPERATIONS RESEARCH I |
| Code |
Semester |
Theoretical |
Practice |
National Credit |
ECTS Credit |
| Hour / Week |
| INE204 |
Spring |
2 |
2 |
3 |
6 |
| Prerequisites and co-requisites |
NONE |
| Language of instruction |
English |
| Type |
Required |
| Level of Course |
Bachelor's |
| Lecturer |
|
| Mode of Delivery |
Face to Face |
| Suggested Subject |
NONE |
| Professional practise ( internship ) |
None |
| Objectives of the Course |
An exposure to modeling for solving industrial engineering, and managerial problems. Further introducing linear programming and simplex method together with sensitivity analysis for providing solutions to real life problems. |
| Contents of the Course |
Modeling process, formulation. Linear programming, simplex method. Duality and sensitivity. |
Learning Outcomes of Course
| # |
Learning Outcomes |
| 1 |
State the mathematical model of the problem
|
| 2 |
Solve the mathematical problem with proper method
|
| 3 |
Solve the mathematical problems with computer
|
| 4 |
|
Course Syllabus
| # |
Subjects |
Teaching Methods and Technics |
| 1 |
Introduction |
Lecturing |
| 2 |
Linear Programming- Graphical solution |
Lecturing |
| 3 |
Modeling and Linear programming |
Lecturing |
| 4 |
Modeling and Linear programming |
Lecturing |
| 5 |
Modeling and Linear programming |
Lecturing |
| 6 |
Simplex method |
Lecturing |
| 7 |
Midterm |
Exam |
| 8 |
Simplex method |
Lecturing |
| 9 |
Simplex method |
Lecturing |
| 10 |
Simplex method |
Lecturing |
| 11 |
Duality |
Lecturing |
| 12 |
Duality |
Lecturing |
| 13 |
Duality |
Lecturing |
| 14 |
Sensitivity Analysis |
Lecturing |
| 15 |
Sensitivity Analysis |
Lecturing |
| 16 |
Final Exam |
|
Course Syllabus
| # |
Material / Resources |
Information About Resources |
Reference / Recommended Resources |
| 1 |
Operations Research: Applications and Algorithms, W.L. Winston |
|
|
Method of Assessment
| # |
Weight |
Work Type |
Work Title |
| 1 |
40% |
Mid-Term Exam |
Mid-term Exam |
| 2 |
60% |
Final Exam |
Final Exam |
Relationship between Learning Outcomes of Course and Program Outcomes
| # |
Learning Outcomes |
Program Outcomes |
Method of Assessment |
| 1 |
State the mathematical model of the problem
|
1 |
|
| 2 |
Solve the mathematical problem with proper method
|
2 |
|
| 3 |
Solve the mathematical problems with computer
|
3 |
|
| 4 |
|
4 |
|
PS. The numbers, which are shown in the column Method of Assessment, presents the methods shown in the previous table, titled as Method of Assessment.
Work Load Details
| # |
Type of Work |
Quantity |
Time (Hour) |
Work Load |
| 1 |
Course Duration |
14 |
4 |
56 |
| 2 |
Course Duration Except Class (Preliminary Study, Enhancement) |
14 |
2 |
28 |
| 3 |
Presentation and Seminar Preparation |
0 |
0 |
0 |
| 4 |
Web Research, Library and Archival Work |
0 |
0 |
0 |
| 5 |
Document/Information Listing |
0 |
0 |
0 |
| 6 |
Workshop |
0 |
0 |
0 |
| 7 |
Preparation for Midterm Exam |
1 |
13 |
13 |
| 8 |
Midterm Exam |
1 |
5 |
5 |
| 9 |
Quiz |
0 |
0 |
0 |
| 10 |
Homework |
1 |
5 |
5 |
| 11 |
Midterm Project |
0 |
0 |
0 |
| 12 |
Midterm Exercise |
0 |
0 |
0 |
| 13 |
Final Project |
0 |
0 |
0 |
| 14 |
Final Exercise |
0 |
0 |
0 |
| 15 |
Preparation for Final Exam |
1 |
26 |
26 |
| 16 |
Final Exam |
1 |
3 |
3 |
| |
136 |
