1	Course Title:	OPERATIONS RESEARCH
2	Course Code:	BMB2016
3	Type of Course:	Optional
4	Level of Course:	First Cycle
5	Year of Study:	2
6	Semester:	4
7	ECTS Credits Allocated:	5
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. PINAR KIRCI
16	Course Lecturers:	yok
17	Contactinformation of the Course Coordinator:	Bilgisayar müh. bölüm binası 1. kat oda 110 pinarkirci@uludag.edu.tr
18	Website:
19	Objective of the Course:	To teach approaches for modelling stochastic and deterministic systems that can be encountered in real life and the methods for making optimal decisions in problems concerning such systems
20	Contribution of the Course to Professional Development	to learn approaches for modelling stochastic and deterministic systems that can be encountered in real life

21

Learning Outcomes:

1 Being able to mathematically model stochastic or deterministic systems in real life; 2 Being able to formulate the problems that may arise in a system; 3 Being able to select the appropriate optimization method for a problem; 4 Being able to use software tools in modelling the systems and solving the optimization problems;

22	Course Content:

Week	Theoretical	Practical
1	Introduction, mathematical model design and modelling philosophy
2	Linear programming and simplex algorithm
3	Solving linear programming problems using LINDO
4	Big M method
5	Two-phase simplex method
6	Analyses of the special cases that are encountered in application of simplex algorithm
7	Duality and sensitivity analysis
8	Programming solutions to sample problems
9	Integer programming, branch and bound algorithm, cutting plane algorithm
10	Solving integer programming problems using MPL
11	Goal programming, preemptive and non-preemptive algorithms
12	Solving goal programming problems using MPL
13	Transportation problem and solution algorithms
14	Network models, minimum spanning tree algorithm, shortest path algorithm

23	Textbooks, References and/or Other Materials:	1. Operations Research: Applications and Algorithms, W.L. Winston, 4th Edition, Brooks/Cole-Thomson Learning, 2004. 2. Introduction to Operations Research, F.S. Hillier and G.J. Lieberman, 9th Edition, McGraw Hill, Boston, 2005. 3. Operations Research: An Introduction, H. A. Taha, Prentice Hall, 2006.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	30
Quiz	0	0
Homeworks, Performances	2	20
Final Exam	1	50
Total	4	100
Contribution of Term (Year) Learning Activities to Success Grade		50
Contribution of Final Exam to Success Grade		50
Total		100
Measurement and Evaluation Techniques Used in the Course	written exam
Information

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ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	3	42
Practicals/Labs	0	0	0
Self Study and Preparation	14	2	28
Homeworks, Performances	2	0	0
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	1	40	40
Others	0	0	0
Final Exams	1	40	40
Total WorkLoad			150
Total workload/ 30 hr			5
ECTS Credit of the Course			5

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 5 5 4 4 2 2 1 1 1 1 1 1 LO2 5 5 3 3 2 2 1 1 1 1 1 1 LO3 5 5 2 4 2 1 1 1 1 1 1 1 LO4 4 4 3 5 3 3 1 1 3 1 1 1

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High