Description of Individual Course Units
Course Unit CodeCourse Unit TitleType of Course UnitYear of StudySemesterNumber of ECTS Credits
İSL3062013222NUMERICAL METHODSCompulsory364
Level of Course Unit
First Cycle
Objectives of the Course
The aim of the course is • to give the students basic information about the Linear programming, formulation of linear programming problems, the specific conditions in linear programming, simplex method, maximization and minimization problems, loose, artificial variables, the specific conditions, Simplex tables, sensitivity analysis, the geometric interpretation of the conjugate (dual), Transportation and Assignment models, Modi method, Vogel method, degeneration of Transportation problems, integer programming, branch and bound method, Goal Programming, Introduction to game Theory, game Theory of linear programming, Markov analysis, Theorem course topics and the Queue in Waiting Line Model
Name of Lecturer(s)
Öğr.Gör.Aydın ÇAKMAK
Learning Outcomes
1Describe the quantitative decision techniques used in decision making.
2Explain similarities and differencies between decision making techniques.
3Use one of the quantitative techniques to a determined problem.
4Examine the appropriateness of decision according to the results of used technique.
Mode of Delivery
Evening Education
Prerequisites and co-requisities
Yok
Recommended Optional Programme Components
Week 1 Introduction to Linear Programming. Week 2 Duality and Sensitivity Week 3 Integer Linear Programming Week 4 Goal Programming Week 5 Deterministic Dynamic Programming Week 6 Fundamentals of Probability Week 7 Decision Analysis Week 8 Mid-term Exam Week 9 Game Theory Week 10 Queuing Systems Week 11 Simulation Model Building Week 12 Markov Decision Processes Week 13 Case Study Week 14 Case Study. Week 15 Case Study Week 16 Final Exam
Course Contents
• Descriptive statistics, • Based on continuous and discrete distributions, • Sampling distributions, • Point estimation, • Interval estimation, • Hypothesis testing, • One-sample-two-sample tests, • Chi-square fit tests, • Linear regression and correlation analysis, • Analysis of variance, • SPSS applications.
Weekly Detailed Course Contents
WeekTheoreticalPracticeLaboratory
1Simplex Method
2Simplex Method
3Simulation
4Simulation
5Game Theory
6Game Theory
7Markov Analysis
8Mid-term exam
9Network Analysis, Shortest Path
10Network Analysis, The mininmum Spanning Tree, Maximum Flow Problems
11Project Management, Project Evaluation and Review Technique (PERT)/ Critical Path Method (CPM)
12Project Management, Project Evaluation and Review Technique (PERT)/ Critical Path Method (CPM)
13Queuing Theory (waiting line models), Queue discipline, Single-channel waiting line models
14Waiting line models, Multiple-channel waiting line models, Economic analysis of waiting lines
15Review
16End-of-term exam
Recommended or Required Reading
TİMOR, M., 2001;Yöneylem Araştırması ve İşletmecilik Uygulamaları, İstanbul Üniversitesi, İstanbul
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Term (or Year) Learning ActivitiesQuantityWeight
SUM0
End Of Term (or Year) Learning ActivitiesQuantityWeight
SUM0
Yarıyıl (Yıl) İçi Etkinlikleri40
Yarıyıl (Yıl) Sonu Etkinlikleri60
SUM100
Language of Instruction
Turkish
Work Placement(s)
Yok
Workload Calculation
ActivitiesNumberTime (hours)Total Work Load (hours)
Midterm Examination111
Final Examination111
Attending Lectures14342
Self Study14342
Individual Study for Mid term Examination11010
Individual Study for Final Examination11010
TOTAL WORKLOAD (hours)106
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		PO
13		PO
14		PO
15		PO
16		PO
17		PO
18		PO
19		PO
20		PO
21		PO
22		PO
23
LO132442442442 1344241 422
LO232442442442 1344241 422
LO332442442442 1344241 422
LO432442442442 1344241 422
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High
 
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