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Course Description Course Name : Quantitative Decision Making Techniques Course Code : MG24 704 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 : Understands which problems are linear programming problems or not. Defines the linear programming problems and builds the model. Solves the linear programming model and uses its solutions to make comment about business applications. Distinguishes between transportation and assignment problems and solves and evaluates the solutions. Uses MS Excel Solver to reach solutions of quantitative decision making problems. Mode of Delivery : Face-to-Face 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 : Bloc 2   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 Discussion and Analysis 2 Introduction to Linear Programming, Problems and Mathematical Formulation Reading the given materials Discussion and Analysis 3 Linear Programming examples continue Reading the given materials Discussion and Analysis 4 Linear Programming examples continue Reading the given materials Discussion and Analysis 5 Simplex Method Reading the given materials Discussion and Analysis 6 Simplex Method part continues Reading the given materials Preparation for Project 7 Unusual Circumstances of Linear Programming Reading the given materials Preparation for Project 8 Midterm Exam Preparation for Exam Preparation for Exam 9 Duality and Sensivity Analysis Reading the given materials Discussion and Analysis 10 Transportation Models Reading the given materials Discussion and Analysis 11 Unusual Circumstances of Transportations Model Reading the given materials Discussion and Analysis 12 Introduciton to Mathematical Programming Reading the given materials Discussion and Analysis 13 Project Management Reading the given materials Discussion and Analysis 14 Project Management part continues Reading the given materials Discussion and Analysis 15 Project Management part continues Reading the given materials Discussion and Analysis 16/17 FINAL EXAM Preparation for Exam Preparation for Exam, Project Time   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  İşletme Yöneticileri İçin Excel İle Sayısal Karar Verme Teknikleri, Erkut DÜZAKIN, Adana.  İşletme Yöneticileri İçin Excel İle Sayısal Karar Verme Teknikleri, Erkut DÜZAKIN, Adana. Required Course Material(s)  İşletme Yöneticileri İçin Excel İle Sayısal Karar Verme Teknikleri, Erkut DÜZAKIN, Adana.   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 60     Homeworks/Projects/Others 1 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 Has the ability to list, describe and explain the relationship between the terms which belong to financial management, accounting management, production management, marketing management, management organization and numerical methods. 5 2 Has 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 of each model and/or methods 5 3 Explains how to create the basic theoretical models of business and new management in literature and how to implement numarical and statistics methods. 5 4 Has ability to explain and interpret the data which is obtained as a result of constitution/ application of theoretical models of business management. 5 5 Determines the appropriate methods to solve the problems faced by the company. 4 6 Implements business management methods using the fundamental steps 4 7 Uses the basic techniques of financial analysis to achieve the best result. 5 8 Takes responsibility as an indivicual and/or as a part of a team, can lead and work effectively. 5 9 In recognition of the need for lifelong learning and continuous self-renewal , tracks the latest developments in the field of business administration. 4 10 Has ability to use different sources in academic circumstances, synthesize the information obtained in a new field of business administration and present effectively 5 11 Uses Turkish and at least one foreign language in accordance with the requirements of academic life and work life. 5 12 Has the ability to inqire and apply traditional methods, and the ability to develop and implement new ways of working if necessary. 4 13 Has abiliity to research on the science of business administration, to form the basis for the decision-making process. 5 14 Has ability ro determine the business management approaches, application and methods which are appropriate for the business’s sector, growth, resources, culture, goals and aims. 4 * 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 2 28 Assesment Related Works     Homeworks, Projects, Others 1 20 20     Mid-term Exams (Written, Oral, etc.) 1 20 20     Final Exam 1 20 20 Total Workload: 130 Total Workload / 25 (h): 5.2 ECTS Credit: 5