ENM356 Engineering Optimization

4 ECTS - 3-0 Duration (T+A)- 6. Semester- 3 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM356
Name Engineering Optimization
Term 2019-2020 Academic Year
Semester 6. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. EBRU YILMAZ
Course Instructor Doç. Dr. EBRU YILMAZ (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

The purpose of this course is to study linear, integer and goal programming approaches and related solution techniques.

Course Content

Linear programming, Solution of linear models, Introduction to integer programming, Formulating integer programming problems, Solution of integer programming models, Branch-and-bound algorithm, Goal programming types, Formulating goal programming problems.

Course Precondition

Yok

Resources

Notes

1. HILLIER, F.S., and LIEBERMAN, G.J., 2005, Introduction to Operations Research, McGraw-Hill, Boston, 1061 pages.2. HALAÇ,O., 2001, Kantitatif Karar Verme Teknikleri (Yöneylem Araştırması), Alfa, İstanbul, 580 sayfa.3. ÖZTÜRK,A., 2009, Yöneylem Araştırması, Ekin Yayınevi, Bursa.4. WINSTON, W.L., 2004, Operations Research Applications and Algorithms, Fourth Edition, Brooks/Cole Cengage Learning, Printed in Canada.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Formulates linear programming problems seen in a service or manufacturing system.
LO02 Solves linear programming models with appropriate solution methods.
LO03 Formulates integer programming problems seen in a service or manufacturing system.
LO04 Explains how to apply branch and bound algorithm to solve integer programming models.
LO05 Formulates goal programming problems seen in a service or manufacturing system.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems. 5
PLO02 - An ability to identify, formulate, and solve complex industrial engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose. 5
PLO03 - An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. 5
PLO04 - Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively. 5
PLO05 - Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics. 5
PLO06 - Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills. 4
PLO07 - Ability to communicate effectively in Turkish presentation and in writing; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instruction and receiving skills. 4
PLO08 - Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. 4
PLO09 - To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. 5
PLO10 - Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development. 4
PLO11 - Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions. 4
PLO12 - Ability to make use of the power of effective communication in professional life, to interpret the developments correctly and to make decisions. 5
PLO13 - Ability to design, develop, implement and improve integrated systems including machinery, time, information and money. 3
PLO14 - Ability to design, develop, implement and improve complex product, process, business, system design by applying modern design methods under realistic conditions and constraints such as cost, environment, sustainability, productivity, ethics, health, safety and political issues. 4


Week Plan

Week Topic Preparation Methods
1 Linear programming Reading the resources related to the section
2 Linear programming Reading the resources related to the section
3 Solution of linear models Reading the resources related to the section
4 Solution of linear models Reading the resources related to the section
5 Introduction to integer programming Reading the resources related to the section
6 Formulating integer programming problems Reading the resources related to the section
7 Formulating integer programming problems Reading the resources related to the section
8 Mid-Term Exam The preparation for the midterm exam
9 Solution of integer programming models Reading the resources related to the section
10 Branch-and-bound algorithm Reading the resources related to the section
11 Branch-and-bound algorithm Reading the resources related to the section
12 Goal programming types Reading the resources related to the section
13 Formulating goal programming problems Reading the resources related to the section
14 Formulating goal programming problems Reading the resources related to the section
15 Project presentations The preparation for the project presentation
16 Term Exams The preparation for the term exam
17 Term Exams The preparation for the term exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 20
General Assessment
Midterm / Year Total 100 20
1. Final Exam - 80
Grand Total - 100


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 3 42
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 7 7
Final Exam 1 18 18
Total Workload (Hour) 109
Total Workload / 25 (h) 4,36
ECTS 4 ECTS

Update Time: 06.05.2025 11:31