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| Course Description |
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| Course Name |
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Operational Research I |
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| Course Code |
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IEM 711 |
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| Course Type |
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Optional |
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| Level of Course |
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Second Cycle |
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| Year of Study |
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1 |
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| Course Semester |
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Fall (16 Weeks) |
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| ECTS |
: |
6 |
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| Name of Lecturer(s) |
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Asst.Prof.Dr. ERSİN KIRAL
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| Learning Outcomes of the Course |
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Gains the ability to apply his/her knowledge of mathematics, statistics and operational research to business problems.
Creates a mathematical model of decision problems encountered in business area.
Obtains an optimal solution to complex business problems using appropriate models.
Interprets the results by analyzing the solutions obtained.
By analyzing the problem, acquires the ability to use the appropriate method for the solution.
Understands the importance of quantitative decision making techniques and methods.
Defines and formulates the problem
Performs duality and sensitivity analysis.
Uses transportation models and solution algorithms.
Applies the methods of Network Analysis,CPM and PERT.
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| Mode of Delivery |
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Face-to-Face |
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| Prerequisites and Co-Prerequisites |
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None |
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| Recommended Optional Programme Components |
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None |
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| Aim(s) of Course |
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The objective of this course is to provide students with cababilities of using operational resaearch techniques and applications,quantitative techniques for decision making, problem identification, model building and solving |
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| Course Contents |
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The concept of Operational Research topics such as problem definition, model building, linear programming, transportation - assignment problems, network problems and project management with CPM / PERT methods will be examined to build the models and their solution techniques |
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| Language of Instruction |
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Turkish |
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| Work Place |
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classroom |
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Course Outline /Schedule (Weekly) Planned Learning Activities |
| Week | Subject | Student's Preliminary Work | Learning Activities and Teaching Methods |
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1 |
The structure of decision problems, problem identification and model building |
Reading relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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2 |
Introduction to linear programming and the graphical solution method |
Reading relevant parts in the source books according to the weekly program |
Lecture,problem solving |
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3 |
Solution of linear programming problems with Simplex method (I) |
Reading relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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4 |
Solution of linear programming problems with Simplex method (II) |
Reading relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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5 |
The realization of duality and sensitivity analysis after the optimal solution |
Reading relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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6 |
Computer application (the solution of linear programming and sensitivity analysis) |
Reading relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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7 |
Integer programming: Gomory cutting plane method and Branch and bound method |
Reading relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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8 |
Midterm examination |
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9 |
Transportation models and solution algorithms |
Reading relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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10 |
Assignment models and solution algorithms |
Reading relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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11 |
Transshipment models and solution algorithms |
Readng relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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12 |
Network analysis; creation and solution of network models |
Readng relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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13 |
Network analysis; CPM method |
Readng relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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14 |
Network analysis; PERT method |
Readng relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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15 |
Time-cost relationship in the planning of the project and acceleration of the project |
Readng relevant parts in the source books according to the weekly program |
Lecture, problem solving |
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16/17 |
Final examination |
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Required Course Resources |
| Resource Type | Resource Name |
| Recommended Course Material(s) |
 Operations Research: An Introduction (9th Edition) by Hamdy A. Taha (Sep 8, 2010)
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| Required Course Material(s) |
Operations Research: Applications and Algorithms, Wayne L. Winston
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Assessment Methods and Assessment Criteria |
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Semester/Year Assessments |
Number |
Contribution Percentage |
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Mid-term Exams (Written, Oral, etc.) |
1 |
90 |
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Homeworks/Projects/Others |
10 |
10 |
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Total |
100 |
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Rate of Semester/Year Assessments to Success |
40 |
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Final Assessments
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100 |
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Rate of Final Assessments to Success
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60 |
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Total |
100 |
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| Contribution of the Course to Key Learning Outcomes |
| # | Key Learning Outcome | Contribution* |
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1 |
Explains Econometric concepts |
4 |
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2 |
Equipped with the foundations of Economics, develops Economic models |
4 |
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3 |
Models problems using the knowledge of Mathematics, Statistics, and Econometrics |
5 |
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4 |
Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems |
4 |
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5 |
Collects, edits, and analyzes data |
4 |
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6 |
Uses advanced software packages concerning Econometrics, Statistics, and Operation Research |
5 |
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7 |
Develops the ability to use different resources in an area which has not been studied in the scope of academic rules, synthesizes the information gathered, and gives effective presentations |
5 |
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8 |
Speaks Turkish and at least one other foreign language in accordance with the requirements of academic and business life. |
5 |
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9 |
Questions traditional approaches and their implementation and develops alternative study programs when required |
4 |
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10 |
Recognizes and implements social, scientific, and professional ethic values |
4 |
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11 |
Gives a consistent estimate for the model and analyzes and interprets its results |
4 |
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12 |
Takes responsibility individually and/or as a member of a team; leads a team and works effectively |
4 |
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13 |
Defines the concepts of statistics, operations research and mathematics. |
5 |
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14 |
Knowing the necessity of life-long learning, follows the latest developments in the field of study and improves himself continiously |
5 |
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15 |
Follows the current issues, and interprets the data about economic and social events. |
4 |
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16 |
Understands and interprets the feelings, thoughts and behaviours of people and expresses himself/herself orally and in written form efficiently |
4 |
| * Contribution levels are between 0 (not) and 5 (maximum). |
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| Student Workload - ECTS |
| Works | Number | Time (Hour) | Total Workload (Hour) |
| Course Related Works |
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Class Time (Exam weeks are excluded) |
14 |
3 |
42 |
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Out of Class Study (Preliminary Work, Practice) |
14 |
3 |
42 |
| Assesment Related Works |
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Homeworks, Projects, Others |
10 |
5 |
50 |
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Mid-term Exams (Written, Oral, etc.) |
1 |
7 |
7 |
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Final Exam |
1 |
8 |
8 |
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Total Workload: | 149 |
| Total Workload / 25 (h): | 5.96 |
| ECTS Credit: | 6 |
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