COURSE SYLLABUS

QUANTITATIVE METHODS II

1	Course Title:	QUANTITATIVE METHODS II
2	Course Code:	ISL4402
3	Type of Course:	Compulsory
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	8
7	ECTS Credits Allocated:	8
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç. Dr. GÜL EMEL
16	Course Lecturers:	Dr. Öğretim Üyesi Burcu AVCI ÖZTÜRK
17	Contactinformation of the Course Coordinator:	Doç.Dr.Gül GÖKAY EMEL ggokay@uludag.edu.tr Tel: 0224 29 41055
18	Website:
19	Objective of the Course:	Applying various quantitative techniques, interpreting the solutions and presenting to the decision-makers in a useful format with the purpose of supporting decisions for business’s various functions.
20	Contribution of the Course to Professional Development	Building models for business problems, decision making based on quantitative data, using software ve developing analytical skills.

Learning Outcomes:

1	To be able to model transportation problems successfully.;
2	To be able to form starting tables with different methods in transportation models.;
3	To be able to solve transportation and assignment problems with minimum and maximum objectives and interpret the solutions.;
4	To be able to apply network models in different business problems and use for project evaluations;
5	To be able to model and solve integer programming problems.;
6	To be able to prepare production plans with discrete variables.;
7	To be able to use solutions with different techniques for decision support and interpret as a manager. ;

22	Course Content:

Week	Theoretical	Practical
1	Structure of transportation problem and establishment of linear programming model.
2	Starting table methods in transportation problems (northwest corner, minimum cost and Vogel approach methods.
3	Optimum solution to transportation models with stepping-stone method.
4	Unbalanced transportation models (situations that demand more than supply and supply more than demand) and degeneration in transportation models.
5	Optimum solution to transportation models with MODI (modified distribution) method.
6	Structure of assignment problem and establishment of linear programming model.
7	Optimum solution to assignment models with Hungarian algorithm.
8	Applications of transportation and assignment models to different business problems.
9	Network analysis and network modelling.
10	Solutions of network models with linear programming and special algorithms.
11	Integer programming and establishment of integer programming models.
12	Brunch and bound algorithm solution of integer programming models
13	Gomory cutting plane algorithm solution of integer programming. models.
14	Application of integer programming to business problems.

23	Textbooks, References and/or Other Materials:	* Zekai, Yılmaz, Sayısal Yöntemler, Ekin Kitabevi, Bursa, 2004. * Ahmet Öztürk, Yöneylem Araştırması, Ekin Kitabevi, Bursa, 2011. * Wayne L. Winston, Operations Research: Applications and Algorithms, Thomson Brooks/Cole, Australia, 2004. * M. Akif Bakır, Bülent Altunkaynak, Tamsayılı Programlama Teori Modeller ve Algoritmalar, Nobel Yayın Dağıtım, Ankara, 2003.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	40
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	60
Total	2	100
Contribution of Term (Year) Learning Activities to Success Grade		40
Contribution of Final Exam to Success Grade		60
Total		100
Measurement and Evaluation Techniques Used in the Course	Midterm Exam and Final Exam
Information	Midterm and Final exams are required. Minimum passing grade is 50/100

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High