BAYBURT University Information Package / Course Catalogue

Home Information on the Institution Information on Degree Programmes General Information for Students
Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
MY106ZOptimization TechniquesElective116
Level of Course Unit
Second Cycle
Objectives of the Course
To introduce Operations Research to students, to inform them about Deterministic Methods and to gain application skills.
Name of Lecturer(s)
Doç. Dr. Erdemalp Özden
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
9Changes That Affect The Susceptibility Analysis-Optimality
10Changes That Affect The Susceptibility Analysis-Feasibility
11Transportation models-1
12Transportation models-2
13Integer programming-1
14Integer programming-2
15Final exam
16
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 Activities30
End Of Term (or Year) Learning Activities70
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 Examination5420
Individual Study for Final Examination6530
Report16116
Homework6318
TOTAL WORKLOAD (hours)171
Contribution of Learning Outcomes to Programme Outcomes
PO
1
PO
2
PO
3
PO
4
PO
5
PO
6
PO
7
PO
8
PO
9
PO
10
PO
11
PO
12
LO144523334532 
LO2354412313342
LO3444434334431
LO442132334444 
LO5334244224343
LO6452434543554
LO7225522433423
LO8452244344354
LO9434335345443
LO10233443554334
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High