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 FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES Course Catalog http://www.ktu.edu.tr/isbb Phone: +90 0462 +90 (462) 3773112 FENF
FACULTY of SCIENCE / DEPARTMENT of STATISTICS and COMPUTER SCIENCES /

 IST3000 Operational Research 4+0+0 ECTS:5 Year / Semester Spring Semester Level of Course First Cycle Status Compulsory Department DEPARTMENT of STATISTICS and COMPUTER SCIENCES Prerequisites and co-requisites None Mode of Delivery Face to face Contact Hours 14 weeks - 4 hours of lectures per week Lecturer Prof. Dr. Türkan ERBAY DALKILIÇ Co-Lecturer ASSOC. PROF. Orhan KESEMEN Language of instruction Turkish Professional practise ( internship ) None The aim of the course: To give the students the methods, techniques and materials to enable them to find the optimal solutions for the problems that are coming from a system, .
 Learning Outcomes CTPO TOA Upon successful completion of the course, the students will be able to : LO - 1 : determine the initial basic solutions for the transportation and appointment problems, and then get optimal solutions of these problems. 2,3,4,5,8,10,11 1,3 LO - 2 : solve the network analysis problems 2,3,4,5,6,8,10,11 1,3 LO - 3 : form the time table for the critical path 1,2,3,4,5,6,7,8,10,11 1,3 LO - 4 : solve game problems with algebraic, graph and matrix methods. 2,3,4,6,8,10,11 1,3 CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome
 Contents of the Course
 Problem of transformation, assignment problems, network analysis, min. (max. ) algorithm, time tables, project management (PERT-CPM) , game theory, algebraically, graphical, matrix solutions.
 Course Syllabus Week Subject Related Notes / Files Week 1 Basic Definitions and Concepts. Week 2 Definition of Transport Model. Week 3 Analyzing the Transportation Model. Week 4 Sensitivity Analysis of Transportation Problems. Week 5 Assignment Model and Solution Techniquesi Week 6 Network Analysis: Shortest Path, Minimum Propagation Week 7 Network Analysis:Largest Flow. Week 8 Project Management: Critical path method (CPM) Week 9 Mid-term exam Week 10 Establishment of project timing table Week 11 Pert Analysis. Week 12 Decision Theory. Week 13 Game Theory: Two-person zero-sum games. Week 14 Goal Programming: Single-targeted programming, equally-weighted multi-targeted programming. Week 15 Goal Programming: Multi-targeted priority programming, weighted priority multi-targeted programming. Week 16 End-of-term exam
 Textbook / Material
 1 Hamdy A. TAHA, 2000; Yöneylem Araştırması, Literatür Yayınları, İstanbul.