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Course Description Course Name : Operations Research I Course Code : EM 317 Course Type : Compulsory Level of Course : First Cycle Year of Study : 3 Course Semester : Fall (16 Weeks) ECTS : 4 Name of Lecturer(s) : Assoc.Prof.Dr. S.BİLGİN KILIÇ Asst.Prof.Dr. SEMİN PAKSOY Asst.Prof.Dr. ERSİN KIRAL Learning Outcomes of the Course : Gives the ability to apply to business problems by using information about mathematics, statistics and operations research. Creates a mathematical model of decision problems encountered in business area. Obtains an optimal solution to complex business problems using appropriate models. Interprets by analyzing the results obtained from the solutions. Analyzes the problem, acquires the ability to use the appropriate method for the solution. Understands the importance of quantitative decision making techniques and methods. Defines and formulates the problem. Performs duality and sensitivity analysis. Uses transportation models and solution algorithms. Network analysis; applies the methods of CPM and PERT. Mode of Delivery : Face-to-Face Prerequisites and Co-Prerequisites : None Recommended Optional Programme Components : None Aim(s) of Course : The objective of this course to gain cababilities of using quantitative techniques for decision making, problem identification, model building and solving. Course Contents : The concept of Operational Research topics such as problem definition, model building, linear programming, transportation - assignment problems, network problems and project management with CPM / PERT methods will be examined for building of the models and their solution techniques. Language of Instruction : Turkish Work Place : Classroom   Course Outline /Schedule (Weekly) Planned Learning Activities Week Subject Student's Preliminary Work Learning Activities and Teaching Methods 1 The structure of decision problems, problem identification and model building Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 2 Introduction to linear programming and the graphical solution method Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 3 Solution of linear programming problems with Simplex method (I) Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 4 Solution of linear programming problems with Simplex method (II) Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 5 The realization of duality and sensitivity analysis after the optimal solution Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 6 Computer application (the solution of linear programming and sensitivity analysis) Students will be prepared by studying relevant subjects from source books according to the weekly program Application with the computer 7 Integer programming: Gomory cutting plane method and Branch and bound method Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 8 Midterm examination - - 9 Transportation models and solution algorithms Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 10 Assignment models and solution algorithms Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 11 Transshipment models and solution algorithms Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 12 Network analysis; creation and solution of network models Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 13 Network analysis; CPM method Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 14 Network analysis; PERT method Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 15 Time-cost relationship in the planning of the project and acceleration of the project Students will be prepared by studying relevant subjects from source books according to the weekly program Direct expression, problem solving 16/17 Final examination - -   Required Course Resources Resource Type Resource Name Recommended Course Material(s)  Yöneylem Araştırması, Ahmet Öztürk,Ekin Kitabevi,1997  Operations Research: Applications and Algorithms, Wayne L. Winston Required Course Material(s)  Operations Research: An Introduction (9th Edition) by Hamdy A. Taha (Sep 8, 2010)  Yöneylem Araştırması Nicel Karar Teknikleri, Prof.Dr. Şule Özkan, Nobel Yayın Dağıtım,2005  Yöneylem Araştırması Teknikleri ve İşletme Uygulamaları , Prof.Dr. İbrahim Doğan,Blim Teknik Yayınevi,1995   Assessment Methods and Assessment Criteria Semester/Year Assessments Number Contribution Percentage     Mid-term Exams (Written, Oral, etc.) 1 90     Homeworks/Projects/Others 5 10 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 Models problems with Mathematics, Statistics, and Econometrics 5 2 Explains Econometric concepts 4 3 Estimates the model consistently and analyzes & interprets its results 5 4 Acquires basic Mathematics, Statistics and Operation Research concepts 5 5 Equipped with the foundations of Economics, and develops Economic models 5 6 Describes the necessary concepts of Business 5 7 Acquires the ability to analyze, benchmark, evaluate and interpret at conceptual levels to develop solutions to problems 5 8 Collects, edits, and analyzes data 5 9 Uses a package program of Econometrics, Statistics, and Operation Research 5 10 Effectively works, take responsibility, and the leadership individually or as a member of a team 4 11 Awareness towards life-long learning and follow-up of the new information and knowledge in the field of study 4 12 Develops the ability of using different resources in the form of academic rules, synthesis the information gathered, and effective presentation in an area which has not been studied 4 13 Uses Turkish and at least one other foreign language, academically and in the business context 5 14 Good understanding, interpretation, efficient written and oral expression of the people involved 3 15 Questions traditional approaches and their implementation while developing alternative study programs when required 4 16 Recognizes and implements social, scientific, and professional ethic values 4 17 Follows actuality, and interprets the data about economic and social events 4 18 Improves himself/herself constantly by defining educational requirements considering interests and talents in scientific, cultural, art and social fields besides career development 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 5 2 10     Mid-term Exams (Written, Oral, etc.) 1 5 5     Final Exam 1 5 5 Total Workload: 104 Total Workload / 25 (h): 4.16 ECTS Credit: 4