TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENM254 |
| Name | Introduction to Modeling and Optimization |
| Term | 2019-2020 Academic Year |
| Semester | 4. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. YUSUF KUVVETLİ |
| Course Instructor |
Doç. Dr. YUSUF KUVVETLİ
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To Define industrial problems and optimize them by using mathematical modelling techniques
Course Content
Identification of industrial problems, establishment of metamatic models, optimum solution derivation and sensitivity analysis by existing computer package programs to established models.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | What is optimization |
| LO02 | Identification of optimization problems |
| LO03 | Verbal description of the problem |
| LO04 | Construct the mathematical model |
| LO05 | Graphical solution of mathematical models |
| LO06 | Linear programming |
| LO07 | Midtermexam |
| LO08 | Graphical solution method to nonlinearl programming models |
| LO09 | Simplex method |
| LO10 | Dual simplex method |
| LO11 | Big-M method |
| LO12 | Sensitivity analysis |
| LO13 | Model building and solution derivation in LINGO package program |
| LO14 | Sensitivity analysis in LINGO program |
| LO15 | Sample optimization applications |
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. | 4 |
| 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. | 5 |
| 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. | 4 |
| 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 | What is optimization | Reading lecture notes and references about the subject | |
| 2 | Identification of optimization problems | Reading lecture notes and references about the subject | |
| 3 | Verbal description of the problem | Reading lecture notes and references about the subject | |
| 4 | Construct the mathematical model | Reading lecture notes and references about the subject | |
| 5 | Graphical solution of mathematical models | Reading lecture notes and references about the subject | |
| 6 | Linear programming | Reading lecture notes and references about the subject | |
| 7 | Linear programming | Reading lecture notes and references about the subject | |
| 8 | Mid-Term Exam | Study for exam | |
| 9 | Simplex method | Reading lecture notes and references about the subject | |
| 10 | Dual simplex method | Reading lecture notes and references about the subject | |
| 11 | Big-M method | Reading lecture notes and references about the subject | |
| 12 | Sensitivity analysis | Reading lecture notes and references about the subject | |
| 13 | Model building and solution derivation in LINGO package program | Reading lecture notes and references about the subject | |
| 14 | Sensitivity analysis in LINGO program | Reading lecture notes and references about the subject | |
| 15 | Sample optimization applications | To find optimum solutions for industrial application problems | |
| 16 | Term Exams | Study for exam | |
| 17 | Term Exams | Study for 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 |