FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 252 | Course Introduction and Application Information

Course Name
Optimization II
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 252
Spring
2
2
3
6

Prerequisites
  IE 251 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Group Work
Problem Solving
Q&A
Application: Experiment / Laboratory / Workshop
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course is the second part of a three-term sequence, aims to give students a good foundation in the mathematics of Operations Research and introductory knowledge in modeling and solving the transportation, assignment, network and integer optimization problems arisen in such diverse areas as manufacturing, transportation, construction, telecommunications, financial planning, health care, the military, public services etc.
Learning Outcomes The students who succeeded in this course;
  • formulate and solve transportation and assignment models
  • use solution methods for solving special classes of network optimization problems
  • construct mathematical models for integer programming problems
  • solve integer programming problems
  • implement Excel and OPL softwares to solve mathematical models
  • interpret solution outputs of the learned models
Course Description The main subjects of the course are the construction and analysis of the mathematical models of transportation, assignment, network and integer optimization problems and their specific solution methods.

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Transportation, Assignment and Transshipment Problems Chapter 9
2 Transportation, Assignment and Transshipment Problems Chapter 9
3 Transportation, Assignment and Transshipment Problems Chapter 9
4 Network optimization models Chapter 10
5 Network optimization models Chapter 10
6 Network optimization models Chapter 10
7 Network optimization models Chapter 10
8 Integer Programming Chapter 12
9 Integer Programming Chapter 12
10 Integer Programming Chapter 12
11 Integer Programming Chapter 12
12 Integer Programming Chapter 12
13 Integer Programming Chapter 12
14 Integer Programming Chapter 12
15 Review of the Semester
16 Review of the Semester  

 

Course Notes/Textbooks

Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman, Ninth Edition, 2010 Mc GrawHill, ISBN: 9780071267670.

Suggested Readings/Materials

Operations Research:  Applications and Algorithms,  Wayne L. Winston,  4th Ed., Duxbury Press, ISBN 0534209718.

Operations Research. An Introduction, Hamdy A. Taha, Sixth Edition, 1997, PrenticeHall, ISBN 0132811723.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
1
25
Portfolio
Homework / Assignments
1
10
Presentation / Jury
Project
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
35
Total

Weighting of Semester Activities on the Final Grade
4
60
Weighting of End-of-Semester Activities on the Final Grade
1
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
2
32
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
1
3
3
Portfolio
0
Homework / Assignments
1
16
16
Presentation / Jury
0
Project
0
Seminar / Workshop
0
Oral Exam
0
Midterms
1
20
20
Final Exam
1
26
26
    Total
171

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions

8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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