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Course Description Course Name : Management Science 2 Course Code : EM 303 Course Type : Optional Level of Course : First Cycle Year of Study : 3 Course Semester : Fall (16 Weeks) ECTS : 5 Name of Lecturer(s) : Asst.Prof.Dr. MERTDEMİRCİOĞLU Learning Outcomes of the Course : Solve business problems by using decision making techniques Explain how to create a mathematical model and how to solve this model, control the solution and the model. Provide supports for the optimal decision by using management science methods. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : Learning the methodology and various techniques of operations research and finding optimal solutions to problems: Integer Programming, Dynamic Programming, Decision Theory, Queuing Theory and Game Theory Problems. Course Contents : Integer Programming, Dynamic Programming, Decision Theory, Queuing Theory and Game Theory Language of Instruction : Turkish Work Place : Bloc 3   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 Introduction to Management Science 2 subjects Reading the given materials Presentation and Discussion 2 Introduction to Integer Programming Reading the given materials Presentation and Discussion 3 Integer Programming Reading the given materials Presentation and Discussion 4 Solutions of Integer Programming problems Reading the given materials Presentation and Discussion 5 Introduction to Dynamic Programming Reading the given materials Presentation and Discussion 6 Dynamic Programming Reading the given materials Presentation and Discussion 7 Solutions of Dynamic Programming problems Reading the given materials Presentation and Discussion 8 Mid-term Exam Exam Preparation Essay Exam 9 Decision Analysis Reading the given materials Presentation and Discussion 10 Decision Analysis Techniques and problems Reading the given materials Presentation and Discussion 11 Introduction to Queuing Theory Reading the given materials Presentation and Discussion 12 Solutions of Queuing Theory problems Reading the given materials Presentation and Discussion 13 Introduction to Game Theory Reading the given materials Presentation and Discussion 14 Solutions of Game Theory problems Reading the given materials Presentation and Discussion 15 Reassessment of all subjects and problems Reading the given materials Presentation and Discussion 16/17 Final Exam Exam Preparation Essay Exam   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  1. Operations Research Applications and Algorithms, Winston, USA  2. Introduction to Operations Research, Hillier and Lieberman, USA  3. Operations Research, Taha, USA Required Course Material(s)   4. Management Science, Taylor, USA  5. Management Science, Render and Stair, USA   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 Use the basic enterprise resource planning (ERP) softwares 0 2 List and define the concepts of business management, and explain their relations to each other 5 3 List and define the fundamental conceptual models, numerical and statistical techniques of business administartion and identify their advantages and disadvantages. 5 4 List and define the relationship between the basic concepts of economy and business management ; indicate the strong and weak sides of each method. 5 5 Explain how to create the fundamental conceptual models and how to apply numerical and statistical techniques that are used in business administration. 5 6 Explain how to interpret the results gathered through the application and/or implementation of conceptual models and/or numerical and statistical methods of business management. 5 7 Determine appropriate methods to solve business problems 5 8 Evaluate the results that are obtained from applications of business management methods 3 9 Use the basic numerical and statistical softwares 5 10 Follow latest developments in the field, and sustain personal and professional development with the awareness of the necessity of life long learning 2 11 Use different resources in accordance with academic principles, synthesize the data gathered, and present them effectively in an unfamiliar field. 4 12 Use Turkish and at least one foreign language in accordance with the requirements in academic and business context 3 13 Perceive and interpret the feelings, ideas and behaviours of people appropriately, and express himself/herself accurately in written or oral format 2 14 Question traditional approaches, methods and implementations; develop and implement alternative methods when required 5 15 Recognize and apply social, scientific and professional ethical values. 4 16 Determine the most appropriate approaches, implementations and methods of business management considering sectors, their sizes, resources, cultures, goals and objectives 3 17 Monitor external factors such as industrial structures, competition, technologies, economics, politics, cultures that affects the activities of businesses and interpret their impact on businesses 3 18 Take initiative individually or/and as a member of a team, lead and work effectively 3 19 As well as professional development, improve him-/herself continuously in scientific, social, cultural and artistic fields according to his/her interests and abilities, identifying needs of learning. 0 * 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 4 56 Assesment Related Works     Homeworks, Projects, Others 0 0 0     Mid-term Exams (Written, Oral, etc.) 1 15 15     Final Exam 1 15 15 Total Workload: 128 Total Workload / 25 (h): 5.12 ECTS Credit: 5