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Course Description Course Name : Quantitative Decision Making Techniques Course Code : EMG28 710 Course Type : Compulsory Level of Course : Second Cycle Year of Study : 1 Course Semester : Spring (16 Weeks) ECTS : 5 Name of Lecturer(s) : Prof.Dr. ERKUT DÜZAKIN Learning Outcomes of the Course : To understand which problems are linear programming problems or not. To define the linear programming problems and build the model. To solve the linear programming model and use its solutions to make comment about business applications. To distinguish between transportation and assignment problems and to solve and evaluate the solutions. To be able to use MS Excel Solver to reach solutions of quantitative decision making problems. Mode of Delivery : Distant Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : none Aim(s) of Course : This course aims to be able to solve managerial problems with operation researchs techniques. Course Contents : This course starts with the fundamentals of management science and it continues what linear programming,transportation and assignment problems are and how to reach solutions of business problems by applying these techiques. Language of Instruction : Turkish Work Place : Online   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Fundamentals of Management Science Reading the given materials Presentation and Discussion 2 Introduction to Linear Programming, Problems and Mathematical Formulation Reading the given materials Presentation and Discussion 3 Linear Programming examples continue Reading the given materials Presentation and Discussion 4 Graphical Solution of Linear Programming Reading the given materials Presentation and Discussion 5 Simplex Method Reading the given materials Presentation and Discussion 6 Simplex Method part continues Reading the given materials Presentation and Discussion 7 Unusual Circumstances of Linear Reading the given materials Presentation and Discussion 8 Midterm Exam Exam Preparation Exam Preparation 9 Duality and Sensivity Analysis Reading the given materials Presentation and Discussion 10 Transportation Models Reading the given materials Presentation and Discussion 11 Unusual Circumstances of Transportations Model Reading the given materials Presentation and Discussion 12 Introduciton to Mathematical Programming Reading the given materials Presentation and Discussion 13 Project Management Reading the given materials Presentation and Discussion 14 Project Management part continues Reading the given materials Presentation and Discussion 15 Project Management part continues Reading the given materials Presentation and Discussion 16/17 FINAL EXAM Exam Preparation Exam Preparation   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Operations Research, Ahmet ÖZTÜRK, BURSA (Language of Book: Turkish)  Quantitative Decision Making Techniques for Business Administrator by using Excel, Erkut DÜZAKIN, ADANA.( Language of Book: Turkish ) Required Course Material(s)  Quantitative Decision Making Technique, Osman HALAC, ISTANBUL. (Language of Book: Turkish)   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 0 40 Total 100 Rate of Semester/Year Assessments to Success 40   Final Assessments 100 Rate of Final Assessments to Success 60 Total 100   Contribution of the Course to Key Learning Outcomes # Key Learning Outcome Contribution* 1 The ability to list, describe and explain the relationship between the terms which belong to production management and numerical methods 5 2 The ability to explain how to create the basic theoretical models of business and new management in literature and how to implement numarical and statistics methods. 5 3 The ability to determine proper methods for solving problems 5 4 The ability to apply the basic steps of business admiinistration 4 5 The ability to use the basic techniques of basic statistical analysis to achieving the best result. 5 6 The ability to take responsibility as an indivicual and/or as a part of a team, can lead and work effectively. 3 7 In recognition of the need for lifelong learning and continuous self-renewal tracking the latest developments in his/her field. 3 8 The ability to list,describe the basic theoretical models of business administration, and explain the aim of usage of the models; indicate the strenghts and weaknesses parts of each model and/or methods 5 9 The ability to use of different sources under the rules of the academic, synthesize the information obtained in a new field of business administration and present effectively 4 10 The ability to practice and evaluate methods if it is needed, to develop and implement new ways of working. 5 11 The abiliity to research on the science of business administration, to form the basis for the decision-making process. 5 12 The ability to determine the business manaement approaches, application and methods which are appropriate for the business’s sector, growth, resources, culture, goals and aims. 3 * Contribution levels are between 0 (not) and 5 (maximum).   Student Workload - ECTS Works Number Time (Hour) Total Workload (Hour) Course Related Works     Class Time (Exam weeks are excluded) 14 3 42     Out of Class Study (Preliminary Work, Practice) 14 3 42 Assesment Related Works     Homeworks, Projects, Others 0 0 0     Mid-term Exams (Written, Oral, etc.) 1 20 20     Final Exam 1 20 20 Total Workload: 124 Total Workload / 25 (h): 4.96 ECTS Credit: 5