TR
11111

COURSE INTRODUCTION AND APPLICATION INFORMATION

ce.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
 ISE 203To succeed (To get a grade of at least DD)
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Will be able to read and interpret existing mathematical models
  • Will be able to develop conceptual models for decision making problems
  • Will be able to transform conceptual models to mathematical model formulations
  • Will be able to develop heuristic solution algorithms for decision making problems
  • Will be able to develop mathematical models and heuristic solution algorithms for essential problems in industrial system engineering
  • Will be able to code mathematical models and heuristic solution algorithms in IBM ILOG OPL Development Studio
Course Description

 



Course Category

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

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction to Mathematical Modeling and OPL Lecture notes
2 Building Linear Programming Models I : Workforce Planning Lecture notes
3 Building Linear Programming Models II: Supply planning and CPM models Lecture notes
4 Linearizing Logical Forms with Binary Variables, Lecture notes
5 Building Integer Programming Models: Modeling integer programming models with conditional decisions, set packing, covering and partitioning problems Lecture notes
6 Algorithm development and programming with ILOG OPL Lecture notes
7 Quadratic Assignment Problem Model Formulations and Heuristic Solution Algorithms Lecture notes
8 Traveling Salesman Problem Model Formulations and Heuristic Solution Algorithms Lecture notes
9 Industrial Applications of Integer Programming I : Lot Sizing and Scheduling Models, Wagner Whitin Algorithm Lecture notes
10 Industrial Applications of Integer Programming II : Assembly Line Balancing , Dedicated Storage System Models and Heuristic Solution Algorithms Lecture notes
11 Industrial Applications of Integer Programming III : Modeling Machine Scheduling Problems I : Single Machine and Job Shop Scheduling Problems Lecture notes
12 Industrial Applications of Integer Programming IV : Modeling Machine Scheduling Problems II : Single Machine and Job Shop Scheduling Problems with sequence dependent setup times Lecture notes
13 Industrial Applications of Integer Programming V : Modeling Machine Scheduling Problems III : Heuristic solution algorithms and constraint programming models to solve single machine and job shop scheduling problems Lecture notes
14 Project Presentations, Reading journal papers
15 General Review, Discussion and Evaluation
16 Review
Course Notes/Textbooks Model Building in Mathematical Programming, Fourth ed., H. Paul Williams, WILEY.
Suggested Readings/Materials Lecture PowerPoint slides, Reading Handouts, Articles from journals, Optimization in Operations Research, Ronald L.Rardin, Prentice Hall, ISBN : 0-02-398415-5, Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman, Ninth Edition, 2010 Mc Graw-Hill, ISBN: 978-007-126767-0 , Operations Research: Applications and Algorithms, Wayne L. Winston, Duxbury Press, ISBN 0-534 20971-8., Linear and Integer Programming Theory and Practice, Gerard Sierksma, Marcel Dekker Inc., Second Edition, ISBN 978-0824706739, Optimization Modeling A Practical Approach, Ruhul A. Sarker, Charles S. Newton, CRC Press, 2008, ISBN 978-1420043105, Applied Integer Programming, Modeling and Solution. Der-San Chen, Robert G. Batson, Yu Dang, Wiley, 2010. ISBN 978-0-470-37306-4, Logic and Integer Programming, H. Paul Williams, Springer, ISBN 978-0387922799, M. L. Pinedo, Scheduling: Theory, Algorithms, and Systems, 2005, Springer, ISBN 978-0387789347, IBM ILOG CPLEX OPTIMIZATION STUDIO (OPL) Documentation.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
1
5
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
1
15
Presentation / Jury
Project
1
10
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
40
Total

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

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
2
Study Hours Out of Class
15
1
Field Work
Quizzes / Studio Critiques
2
2
Portfolio
Homework / Assignments
1
1
Presentation / Jury
Project
1
15
Seminar / Workshop
Oral Exam
Midterms
1
8
Final Exams
1
10
    Total
117

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

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

Adequate knowledge in Mathematics, Science and Computer Engineering; ability to use theoretical and applied information in these areas to model and solve Computer Engineering problems

 X
2

Ability to identify, define, formulate, and solve complex Computer Engineering problems; ability to select and apply proper analysis and modeling methods for this purpose

 X
3

Ability to design a complex computer based system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose

 X
4

Ability to devise, select, and use modern techniques and tools needed for Computer Engineering practice

 X
5

Ability to design and conduct experiments, gather data, analyze and interpret results for investigating Computer Engineering problems

 X
6

Ability to work efficiently in Computer Engineering disciplinary and multi-disciplinary teams; ability to work individually
7

Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of two foreign languages
8

Recognition of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself
9

Awareness of professional and ethical responsibility
10

Information about business life practices such as project management, risk management, and change management; awareness of entrepreneurship, innovation, and sustainable development
11

Knowledge about contemporary issues and the global and societal effects of engineering practices on health, environment, and safety; awareness of the legal consequences of Computer Engineering solutions

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

 

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