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 |
7 |
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 |
4 |
56 |
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 |
|
164 |