COURSE SYLLABUS

QUANTITATIVE TECHNIQUES

1	Course Title:	QUANTITATIVE TECHNIQUES
2	Course Code:	IIS4401
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	4
6	Semester:	7
7	ECTS Credits Allocated:	6
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. ZEHRA BAŞKAYA
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	zbaskaya@uludag.edu.tr Tel: 0224 29 41046
18	Website:
19	Objective of the Course:	Anayzing the business cases and mathematical modelling, solving the models, interpreting the solutions and presenting to the decision-makers in a useful format for the effective management of decision making activities.
20	Contribution of the Course to Professional Development

Learning Outcomes:

1	To be able to analyze business problems successfully;
2	To be able to model the problems mathematically;
3	To be able to solve linear programming problems that include different constraint types with graphical and simplex method.;
4	To be able to define and solve complex business problems. ;
5	To be able to use linear programming effectively in all functions of a business.;
6	To be able to model and solve transportation problems successfully.;
7	To be able to solve transportation and assignment problems with minimum and maximum objectives and interpret the solutions.;
8	To be able to interpret the solutions as a manager and use numerical techniques for decision support.;

22	Course Content:

Week	Theoretical	Practical
1	Definition of numerical methods and establishment of linear programming models
2	Graphical method solution in linear programming
3	Simplex method algorithm and solution of maximum problems
4	Invalid starting solution models and two stage method
5	Special cases (degenerations and unlimited solutions)
6	Simplex method solution of minimum problems
7	Duality in linear programming and simplex method solution of dual problem and economical interpretation (Midterm Exam)
8	Application of graphic and simplex method
9	Structure of transportation problem and Starting table methods in transportation problems (northwest corner, minimum cost and Vogel approach methods).
10	Optimum solution to transportation models with stepping-stone method.
11	Optimum solution to transportation models with MODI (modified distribution) method.
12	Unbalanced transportation models (situations that demand more than supply and supply more than demand) and degeneration in transportation models.
13	Structure of assignment problem and optimum solution to assignment models with Hungarian algorithm.
14	Applications of transportation and assignment models to different 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.
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
Information

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