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Description of Individual Course Units| Course Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | | İŞL308B | Numerical Methods | Compulsory | 3 | 6 | 4 |
| | Level of Course Unit | | First Cycle | | Objectives of the Course | | It aims to teach students about quantitative methods used in optimal allocation of scarce resources (such as transportation models and network analysis) within both theoretical and computer applications. | | Name of Lecturer(s) | | Arş. Gör. Dr. Kübra AKYOL ÖZCAN | | Learning Outcomes | | 1 | Describe the quantitative decision techniques used in decision making. | | 2 | Explain similarities and differencies between decision making techniques. | | 3 | Use one of the quantitative techniques to a determined problem. | | 4 | Examine the appropriateness of decision according to the results of used technique. | | 5 | Create a new classification technique about decision making |
| | Mode of Delivery | | Second Education | | Prerequisites and co-requisities | | None | | Recommended Optional Programme Components | | None | | Course Contents | | Transportation model, the assignment model, the transshipment model, project scheduling by PERT-CPM, decision analysis, game theory, queuing theory, applications with Lindo packages. | | Weekly Detailed Course Contents | |
| 1 | Course objectives and outlines, The methodology of operations research | | | | 2 | The transportation model, The Northwest Corner Method, The Minimum Cell Cost Method, Vogel's Approximation Method | | | | 3 | Solution of the transportation model, Optimal solution methods, The stepping-stone solution method, The modified distribution method | | | | 4 | The assignment model | | | | 5 | Project Management, Critical path method | | | | 6 | PERT/CPM Critical path procedure, Project scheduling with known acivity times (CPM), Project scheduling with uncertain activity times (PERT) | | | | 7 | PERT/CPM, Project time-cost trade-offs, Project crashing | | | | 8 | Decision Analysis, Decision Making Under Uncertainty, The maximax criterion, The maximin criterion, The minimax regret criterion, The Hurwicz criterion, The Equal Likelihood (Laplace) criterion | | | | 9 | Mid-term exam | | | | 10 | Decision Making Under Risk, Expected value, Expected opportunity loss, Expected value of perfect information, Decision trees | | | | 11 | Game theory, Types of game situations (two-person zero-sum, constant-sum), Dominant and mixed strategies | | | | 12 | Solution methods of game theory, Graphical solution, Linear programming (simplex method) solution | | | | 13 | Queuing Theory (waiting line models), Queue discipline, Single-channel waiting line models | | | | 14 | Waiting line models, Multiple-channel waiting line models, Economic analysis of waiting lines | | | | 15 | Review | | | | 16 | End-of-term exam | | |
| | Recommended or Required Reading | | Mehpare Timor, Yöneylem Araştırması, Türkmen Kitabevi, İstanbul, 2010. | | Planned Learning Activities and Teaching Methods | | | 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 |
| | Workload Calculation | |
| Midterm Examination | 1 | 1 | 1 | | Final Examination | 1 | 2 | 2 | | Attending Lectures | 14 | 4 | 56 | | Individual Study for Mid term Examination | 1 | 15 | 15 | | Individual Study for Final Examination | 1 | 18 | 18 | | Homework | 14 | 2 | 28 | |
| Contribution of Learning Outcomes to Programme Outcomes | | LO1 | 1 | 1 | 3 | 1 | 1 | 3 | 3 | 2 | 1 | 3 | | LO2 | 2 | 3 | 2 | 3 | 2 | 2 | 2 | 3 | 3 | 4 | | LO3 | 3 | 3 | 1 | 4 | 3 | 3 | 1 | 1 | 3 | 3 | | LO4 | 2 | 2 | 3 | 2 | 1 | 2 | 4 | 4 | 2 | 4 | | LO5 | 1 | 2 | 3 | 2 | 3 | 2 | 2 | 3 | 3 | 4 |
| | * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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