OPERATIONS RESEARCH II PROGRAMME COURSE DESCRIPTION

Code	Name of the Course Unit	Semester	In-Class Hours (T+P)	Credit	ECTS Credit
END322	OPERATIONS RESEARCH II	6	4	3	7

GENERAL INFORMATION
Language of Instruction :	Turkish
Level of the Course Unit :	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Type of the Course :	Compulsory
Mode of Delivery of the Course Unit	-
Coordinator of the Course Unit	Assist.Prof. BİNNUR GÜRÜL
Instructor(s) of the Course Unit
Course Prerequisite	MAT104 - LINEAR ALGEBRA

OBJECTIVES AND CONTENTS
Objectives of the Course Unit:	The aim of this course is to teach students the use of Parametric Linear Programming, Integer Programming, Network Models, Decision Theory, Queuing Theory, Dynamic Programming, Goal Programming and Nonlinear Programming models and solution techniques in making resource usage decisions.
Contents of the Course Unit:	Parametric Linear Programming, Goal Programming, Integer Programming, Non-Linear and Quadratic Programming, Decision and Decision Theory, Network Analysis, Dynamic Programming, Markow Chain and Analysis, Queuing Theory.

KEY LEARNING OUTCOMES OF THE COURSE UNIT (On successful completion of this course unit, students/learners will or will be able to)
Describes linear and nonlinear programming techniques.
It solves the Integer, Dynamic Programming etc. models it encounters.
Optimizes models.
Analyzes real life problems using appropriate methods.
Evaluates the results of established programming models.

WEEKLY COURSE CONTENTS AND STUDY MATERIALS FOR PRELIMINARY & FURTHER STUDY
Week	Preparatory	Topics(Subjects)	Method
1	Written Sources	Parametric Linear Programming	Verbal lecture
2	Written Sources	Integer Linear Programming	Verbal lecture
3	Written Sources	Goal Programming, Dynamic Programming	Verbal lecture
4	Written Sources	Network Analytics (CPM, PERT) I	Verbal lecture
5	Written Sources	Network Analysis (Shortest Path Algorithms) II	Verbal lecture
6	Written Sources	Network Analysis (Shortest Path Algorithms) III	Verbal lecture
7	Written Sources	Nonlinear (Quadratic) Programming I	Verbal lecture
8	-	MID-TERM EXAM	-
9	Written Sources	Nonlinear Programming I	Verbal lecture
10	Written Sources	Game Theory	Verbal lecture
11	Written Sources	Queuing Theory	Verbal lecture
12	Written Sources	Markov Chain and Analysis	Verbal lecture
13	Written Sources	Heuristic Algorithms I	Verbal lecture
14	Written Sources	Heuristic Algorithms II	Verbal lecture
15	Written Sources	Heuristic Algorithms I	Verbal lecture
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

SOURCE MATERIALS & RECOMMENDED READING
Wayne, W., 1990, Operations Research Applications and Algorithms, PWSKent Publishing Company, Boston
Taha H.; A., 1997, Operations Research an Introduction (Translation by Alp Baray, Esnaf Ş.), Literatür Yayıncılık, 2017 (9th Edition), Istanbul
Ozturk A., 2016, Operations Research, Ekin Publishing, 6th Edition, Bursa

ASSESSMENT
Assessment & Grading of In-Term Activities	Number of Activities	Degree of Contribution (%)	Description

Level of Contribution
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Gain sufficient knowledge in Mathematics, Science and Industrial Engineering.			2

KNOWLEDGE
Factual
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Analyzes and evaluates existing application areas in the field of Industrial Engineering and develops applications for their solutions.						5

SKILLS
Cognitive
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Analyzes a system, the components of that system, the process of that system, and designs the system by examining it in line with realistic constraints and goals.					4
2	Gains the ability to model and solve engineering problems.						5

SKILLS
Practical
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Identifies the problems that may be encountered in the field of industrial engineering and acquires the ability to choose and apply the appropriate method to be used in problem solving.						5
2	Selects and uses technical tools necessary for industrial engineering applications; uses information technologies effectively.						5
3	Designs experiments, conducts experiments, collects data, analyzes and interprets the results to examine problems in the field of industrial engineering.					4

OCCUPATIONAL
Autonomy & Responsibility
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Gains the ability to work effectively within a team.		1
2	Works effectively individually and takes responsibility.				3

OCCUPATIONAL
Learning to Learn
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Accesses the necessary information for a determined problem and searches for resources for this purpose.					4
2	Has the ability to follow all developments in the field of industrial engineering and constantly renew itself.					4

OCCUPATIONAL
Communication & Social
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Gains oral and written communication skills and speaks at least one foreign language.			2

OCCUPATIONAL
Occupational and/or Vocational
	Programme Learning Outcomes	Level of Contribution
		0	1	2	3	4	5
1	Has awareness of professional and ethical responsibility.				3
2	Has knowledge about the universal and social effects of industrial engineering applications and reaches solutions by being aware of the importance of an innovative approach in solving engineering problems.			2

WORKLOAD & ECTS CREDITS OF THE COURSE UNIT
Workload for Learning & Teaching Activities
Type of the Learning Activites	Learning Activities (# of week)	Duration (hours, h)	Workload (h)
Lecture & In-Class Activities	14	4	56
Preliminary & Further Study	14	4	56
Land Surveying	0	0	0
Group Work	1	10	10
Laboratory	5	1	5
Reading	0	0	0
Assignment (Homework)	1	20	20
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	2	3	6
Final Exam	1	1	1
Preparation for the Final Exam	1	10	10
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	10	10
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	41	0	175