| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | 150400306101 | QUANTITATIVE METHODS | Elective | 3 | 6 | 4 |
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| Level of Course Unit |
| First Cycle |
| Objectives of the Course |
| Applying advanced mathematical and statistical techniques and models to business problems in different business functions such as accounting, finance, human resoruces, marketing, manufacturing etc. Modelling the problem, finding the solution and interpretation of the solution is emphasized. Spreadsheet prorams and especially Excell will be utilized. |
| Name of Lecturer(s) |
| Prof. Dr. Ecevit EYDURAN |
| Learning Outcomes |
| 1 | Faced with the complex business problem, the student learns to model the problem by using the technique. | | 2 | It can determine how to solve this problem. | | 3 | Can find and interpret the solution. | | 4 | To be able to use the solution found in decision making. | | 5 | Make the right choice of advanced decision making techniques. | | 6 | Can come to advanced level in modeling and apply to complex problems. |
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| Mode of Delivery |
| Daytime Class |
| Prerequisites and co-requisities |
| None |
| Recommended Optional Programme Components |
| None |
| Course Contents |
| Modeling, solving and solving the problems of different functions such as production, marketing, finance, accounting, human resources, planning and stock management by using mathematical and statistical techniques, and assisting the decisions of the enterprises by interpreting the solution. |
| Weekly Detailed Course Contents |
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| 1 | Linar Programming revised | | | | 2 | Network Models | | | | 3 | Goal Programming | | | | 4 | Integer Programming | | | | 5 | Nonlinear Programming | | | | 6 | Dynamic Programming | | | | 7 | Application to Business Problems | | | | 8 | Midterm | | | | 9 | Deterministic Inventory Models | | | | 10 | Probability | | | | 11 | Estimation Techniques | | | | 12 | Game Theory/Simulation | | | | 13 | Markov Chains | | | | 14 | Final Exam | | |
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| Recommended or Required Reading |
| Mahmut Tekin (2012), Numerical Methods. |
| Planned Learning Activities and Teaching Methods |
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| Assessment Methods and Criteria | |
| Midterm Examination | 1 | 100 | | SUM | 100 | |
| Final Examination | 1 | 100 | | SUM | 100 | | Term (or Year) Learning Activities | 40 | | End Of Term (or Year) Learning Activities | 60 | | SUM | 100 |
| | Language of Instruction | | Turkish | | Work Placement(s) | | None |
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| Workload Calculation |
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| Midterm Examination | 1 | 1 | 1 |
| Final Examination | 1 | 1 | 1 |
| Attending Lectures | 12 | 3 | 36 |
| Individual Study for Mid term Examination | 5 | 5 | 25 |
| Individual Study for Final Examination | 8 | 6 | 48 |
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| Contribution of Learning Outcomes to Programme Outcomes |
| LO1 | 5 | | 4 | 3 | 3 | | 4 | | 4 | 3 | | | 3 | 3 | | LO2 | 4 | | 5 | 3 | 3 | | 4 | | 3 | 3 | | | 3 | 3 | | LO3 | 4 | | 5 | 3 | 3 | | 4 | | 3 | 3 | | | 3 | 3 | | LO4 | 4 | | 5 | 3 | 3 | | 4 | | 3 | 3 | | | 3 | 3 | | LO5 | 4 | | 5 | 3 | 3 | | 4 | | 3 | 3 | | | 3 | 3 | | LO6 | 4 | | 5 | 3 | 4 | | 4 | | 3 | 4 | | | 3 | 3 |
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| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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