Industrial Engineering (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

ISE301

Course Name:

Modelling and Optimization 2

Semester:

Fall

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Compulsory Courses

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Dr. Öğr. Üy. NADİ SERHAN AYDIN

Course Lecturer(s):

Dr. Öğr. Üy. NADİ SERHAN AYDIN

Course Assistants:

Course Objective and Content

Course Objectives:	The objective of this course is to provide with skills such as modeling integer programming problems, understanding and applying the methods to solve integer programming models, solving deterministic inventory problems, and applying dynamic programming formulations.
Course Content:	Modeling integer programming problems, Branch&Bound Algorithm, Nonlinear Programming, Deterministic Inventory Models, Deterministic Dynamic Programming, Decision Analysis, Game Theory

Learning Outcomes

The students who have succeeded in this course;
1) Formulate and solve integer programming (IP) problems.
2) Formulate and solve basic non-linear programming (NLP) problems.
3) Formulate and solve deterministic dynamic programming (DP) problems.
4) Apply utility theory (UT) and decision trees (DT) under uncertain situations.
5) Formulate and solve deterministic economic order quantity (EOQ) inventory models.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to Integer Programming (IP)
2)	Integer Programming Formulation
3)	Branch & Bound Algorithm
4)	Cutting Plane Algorithm
5)	Nonlinear Programming
6)	Nonlinear Programming
7)	Deterministic Dynamic Programming
8)	Midterm Exam
9)	Deterministic Dynamic Programming
10)	Deterministic Inventory Models
11)	Deterministic Inventory Models
12)	Decision Analysis
13)	Decision Analysis
14)	General Review

Sources

Course Notes / Textbooks:	Winston W. L. (2004) Operations Research Applications and Algorithms, 4th Ed., Brooks/Cole - Thomson Learning.
References:	Taha, H. A. (2002) Operations Research: An Introduction, 2002, 7th Ed., MacMillian Publishing Company. Hillier, F. S. and Lieberman, G. J. (2015) Introduction to Operations Research, 10th Ed., McGraw Hill Science Publishing Company.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.		2		2	2
2) Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.	3	3	2	3	3
3) Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.	3			2	2
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.	2		2	3	3
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics.
6) Ability to work effectively within and multidisciplinary teams; individual study skills.
7) Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Adequate knowledge in mathematics, science and industrial engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.	2
2)	Ability to identify, formulate, and solve complex industrial engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose.	3
3)	Ability to design a complex industrial system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose.	2
4)	Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in industrial engineering applications; ability to use information technologies effectively.	3
5)	Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or industrial engineering research topics.
6)	Ability to work effectively within and multidisciplinary teams; individual study skills.
7)	Ability to communicate effectively orally and in writing; knowledge of at least one foreign language; ability to write effectice reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8)	Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9)	To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10)	Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11)	Knowledge of the effects of industrial engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in industrial engineering; awareness of the legal consequences of industrial engineering solutions.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Quizzes	6	% 8
Homework Assignments	3	% 12
Midterms	1	% 30
Final	1	% 50
total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	13	0	3		39
Laboratory	13	0	2		26
Study Hours Out of Class	13	0	1		13
Homework Assignments	4	0	15		60
Midterms	1	13	2		15
Final	1	23	2		25
Total Workload					178