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Course Description Course Name : Quantitative Decision Making Techniques Course Code : MG28 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 : Understands if a problem is a linear programming problem or not. Can define the linear programming problems and build the model. Can solve the linear programming model problems and can interpret its solutions in order to use them in business applications. Can identify and solve the transportation and assignment problems, and interpret the solutions. Can use MS Excel Solver program in order to solve the 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 give the students the ability to perceive the problems that can be faced in management and to approach these problems with operation research techniques. Course Contents : This course starts with the fundamentals of operation research and it continues with what linear programming,transportation and assignment problems are and it gives information on how to reach solutions to business problems by applying these techniques. 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 Operation Research Reading the given materials Lecture and discussion 2 Introduction to Linear Programming, Problems and Mathematical Formulation Reading the given materials Lecture and discussion 3 Problems and Mathematical Formulation Reading the given materials Lecture and discussion 4 Graphical Solution of Linear Programming Reading the given materials Lecture and discussion 5 Simplex Method Reading the given materials Lecture and discussion 6 Simplex Method Reading the given materials Lecture and discussion 7 Unusual Circumstances of Linear Programming Reading the given materials Lecture and discussion 8 Midterm Exam Exam Preparation Online Exam 9 Duality and Sensivity Analysis Reading the given materials Lecture and discussion 10 Transportation Models Reading the given materials Lecture and discussion 11 Unusual Circumstances of Transportations Model Reading the given materials Lecture and discussion 12 Introduciton to Mathematical Programming Reading the given materials Lecture and discussion 13 Project Management Reading the given materials Lecture and discussion 14 Project Management Reading the given materials Lecture and discussion 15 Project Management Reading the given materials Lecture and discussion 16/17 FINAL EXAM Exam Preparation Essay type Exam   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 Lists and describes the terms of production management and numerical methods and explains the relationship between them 5 2 Lists,describes the basic theoretical models and numerical and statistical methods of business administration, and explains the aim of the models; indicates the strenghts and weaknesses of each model and/or method 5 3 By doing research student explains how to create the basic theoretical models of business administration and to practise numerical and statistical methods. 5 4 Determines proper methods for solving the encountered business problems 4 5 Applies the business administration methods by following the basic steps 4 6 Achieves the best result by using the basic numerical and statistical analysis programs 5 7 Takes responsibility as an individual and/or as a part of a team, becomes leader and works effectively 3 8 Follows the latest developments in his/her field and continuously renews him/herself in recognition of the need for lifelong learning. 3 9 Following research ethics, in a new field, student uses various resources, processes the information obtained and presents it effectively. 4 10 Questions conventional approaches, implications, and methods, and s/he develops and applies new methods of studying when needed. 5 11 Forms a basis for the decision-making process by doing research on the science of business administration. 5 12 By considering the size, resources, culture, goals and aims of the business, student determines the most appropriate business management approaches, practices and methods. 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