FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 321 | Course Introduction and Application Information

Course Name
Dynamic and Nonlinear Programming
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 321
Fall
2
2
3
6

Prerequisites
  IE 251 To succeed (To get a grade of at least DD)
and IE 240 To succeed (To get a grade of at least DD)
or MATH 240 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Required
Course Level
First Cycle
Mode of Delivery Blended
Teaching Methods and Techniques of the Course Problem Solving
Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives This course the third part of a three-term sequence, aims to give students the basic concepts of dynamic programming and introduces and explains the nonlinear programming, solution methods of nonlinear programming problems, metaheuristics and Markov chains, the importance and applications of those subjects are provided by the examples from the selected Industrial Engineering sources to students.
Learning Outcomes The students who succeeded in this course;
  • Describe characteristics of dynamic programming problems
  • Solve dynamic programming problems
  • Identify types of nonlinear programming problems
  • Use solution methods for one-variable, multi-variable unconstrained optimization
  • Specify the necessary and sufficient conditions for constrained optimization
  • Describe the basic concepts of common metaheuristics
  • Describe stochastic processes, Markov Chains and characteristics of Markov Chains
Course Description The main subjects of the course are the deterministic and probabilistic dynamic programming, nonlinear programming, metaheuristics and Markov chains.

 



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 Dynamic Programming Chapter 11, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
2 Dynamic Programming Chapter 11, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
3 Dynamic Programming Chapter 11, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
4 Dynamic Programming Chapter 11, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
5 Dynamic Programming Chapter 11, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
6 Nonlinear Programming Chapter 13, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
7 Nonlinear Programming Chapter 13, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
8 Nonlinear Programming Chapter 13, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
9 Nonlinear Programming Chapter 13, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
10 Nonlinear Programming Chapter 13, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
11 Metaheuristics Chapter 14, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
12 Markov Chains Chapter 29, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
13 Markov Chains Chapter 29, Hillier, F. S., Lieberman, G. J. "Introduction to Operations Research", Mc GrawHill.
14 Project Presentations -
15 Review of the Semester
16 Review of the Semester

 

Course Notes/Textbooks

Introduction to Operations Research, Frederick S. Hillier, Gerald J. Lieberman, 11th Edition, 2021 Mc GrawHill, ISBN: 978-1-260-57587-3.

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
15
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
15
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
3
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
10
10
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
20
20
Final Exam
1
24
24
    Total
180

 

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.

X
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.

X
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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