BAYBURT University Information Package / Course Catalogue

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Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
EM202Operations Research ICompulsory246
Level of Course Unit
First Cycle
Objectives of the Course
Department of Industrial Engineering Students introduce Continuing, Deterministic Operations Research Methods to inform about and the ability to apply.
Name of Lecturer(s)
Doç. Dr. Hamid YILMAZ
Learning Outcomes
1Operations research (or) definition, history and methodology of knowing
2What technical overview, or its relationship to the other branches of science of knowing
3What you need to know the application fields of the application from the instance of
4Linear programming (DP) and knowing the properties of the graphics solution, apply and interpret DP
5DP in solving standard form model of Simplex and basic solutions and know what they mean
6DP model solutions of Primal simplex, Artificial Start Solution-M Method, Two-phase method can be applied to the solution of problems of which types of DP in order to divide and
7Dual Simplex Method to know which type of model to implement a DP
8 Simplex In exceptions property knowing solutions and results of interpretation of
9The concept of duality and Dual/Primal and dual solution to know the relationship between the solutions from primal in order to achieve the solution, meaning interpretation of dual economic solutions
10The sensitivity analysis of parameters in the model DP will consist of a variety of changes to the account and to what lead to interpretation of the results.
Mode of Delivery
Normal Education
Prerequisites and co-requisities
None
Recommended Optional Programme Components
None
Course Contents
Operations research (or) history of the definition of Methodology, techniques overview, or relationship with, or Branches of the other Science Applications and application examples, Deterministic or Techniques: linear programming (DP) and Features a variety of Graphic Solution of the DP, DP Model Samples, based on the Standard Form, the model's Simplex Solution: DP Solutions, Primal Simplex Algorithm, Artificial Start Solution-M Method, two-stage Method, Dual Simplex method Simplex method has Exceptions The concept of Duality-Dual/Primal relationship between Dual Solutions Economical Solutions Reviews-the place of the shadow-Reduced costs, Changes that affect the susceptibility analysis, Optimalliği, Olurluluğu Changes, Affecting Transport Models, Full numbered Algorithms
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Introduction To Linear Operational Survey Introduction To Programming
2Linear Programming, Model Building
3Model building, DP's Graphics Solution
4Primal Simplex
5M-Mode, Two-Stage Method
6Dual Simplex, Simplekste Exceptions
7The Concept Of Duality, Cheap Dual Solutions Reviews
8Midterm exam
9Linear Programming Theoretical Fundamentals
10Linear Programming Concepts and Convexity
11Extreme point Theorem, Fundamental Appropriate Solution and Endpoint Relationship
12Graphics Solution
13Analytical Solution
14Numerical Solution
15Simplex Algorithm
Recommended or Required Reading
Operations research, and adapted by s. Aggarwal BARAY, Saha trades, 6. All in-house translation, İstanbul, Litaratür publishing, 2000 Operations Research: An introduction, Hamdy Taha, Ninth ed., Pearson, 2011. Introduction to Operations Research, Frederich s. Hillier, Gerald j. Lieberman, Ninth ed. McGraw-Hill, 2010 Operations Research, t. l. Winston, PWS Publishing Company, 1997. MATLAB and engineering applications, Krishna c., A.U., ALFA, 2003
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
Midterm Examination175
Homework125
SUM100
End Of Term (or Year) Learning ActivitiesQuantityWeight
Final Examination1100
SUM100
Term (or Year) Learning Activities40
End Of Term (or Year) Learning Activities60
SUM100
Language of Instruction
Turkish
Work Placement(s)
None
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination122
Attending Lectures14342
Self Study14342
Individual Study for Mid term Examination12020
Individual Study for Final Examination12525
Report11616
Homework11818
TOTAL WORKLOAD (hours)166
Contribution of Learning Outcomes to Programme Outcomes
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* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High