TÜRKÇE
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Information
| Unit | FACULTY OF ENGINEERING |
| INDUSTRIAL ENGINEERING PR. | |
| Code | ENM350 |
| Name | Optimization Software |
| Term | 2018-2019 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 | Prof. Dr. MELİK KOYUNCU |
| Course Instructor |
Prof. Dr. MELİK KOYUNCU
(Bahar)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To develop knowledge and skills about optimization softwares
Course Content
Mathematical programming, GAMS structures, basic components of GAMS, variables, equations , Output analysis, transportation problems, production planning problem, resource allocation problem, industrial engineering cases
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Can solve the linear models by softwares |
| LO02 | Can solve the integer models by softwares |
| LO03 | Can solve the binary integer models by softwares |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Has sufficient background on topics related to mathematics, physical sciences and industrial engineering. | 5 |
| PLO02 | - | Gains ability to use the acquired theoretical knowledge on basic sciences and industrial engineering for describing, formulating and solving an industrial engineering problem, and to choose appropriate analytical and modeling methods. | 5 |
| PLO03 | - | Gains ability to analyze a service and/or manufacturing system or a process and describes, formulates and solves its problems . | 5 |
| PLO04 | - | Gains ability to choose and apply methods and tools for industrial engineering applications. | 5 |
| PLO05 | - | Can collect and analyze data required for industrial engineering problems ,develops and evaluates alternative solutions. | 5 |
| PLO06 | - | Works efficiently and takes responsibility both individually and as a member of a multi-disciplinary team. | 5 |
| PLO07 | - | Can access information and to search/use databases and other sources for information gathering. | 5 |
| PLO08 | - | Appreciates life time learning; follows scientific and technological developments and renews himself/herself continuously. | 5 |
| PLO09 | - | Can use computer software in industrial engineering along with information and communication technologies. | 5 |
| PLO10 | - | Can use oral and written communication efficiently. | 5 |
| PLO11 | - | Uses English skills to follow developments in industrial engineering and to communicate with people in his/her profession. | 5 |
| PLO12 | - | Has a conscious understanding of professional and ethical responsibilities. | 3 |
| PLO13 | - | Has a necessary consciousness on issues related to job safety and health, legal aspects of environment and engineering practice. | 2 |
| PLO14 | - | Becomes competent on matters related to project management, entrepreneurship, innovation and has knowledge about current matters in industrial engineering. | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Basics of Mathematical Programming and Optimization | Reading the related chapter from textbook | |
| 2 | Structure of GAMS model | Reading the related chapter from textbook | |
| 3 | Fundamental components and variables at GAMS modelling | Reading the related chapter from textbook | |
| 4 | Equations, objective function and model expressions | Reading the related chapter from textbook | |
| 5 | GAMS codes | Reading the related chapter from textbook | |
| 6 | Output analysis of GAMS | Reading the related chapter from textbook | |
| 7 | Transportation problem, sets, data input and GAMS codes | Reading the related chapter from textbook | |
| 8 | Midterm exam | Classical exam | |
| 9 | GAMS codes of Transportation problem with fixed cost | Reading the related chapter from textbook | |
| 10 | Production Planning examples | Reading the related chapter from textbook | |
| 11 | Resource Allocation Problem | Reading the related chapter from textbook | |
| 12 | Industrial engineering cases and GAMS | Reading the related chapter from textbook | |
| 13 | Industrial engineering cases and GAMS | Reading the related chapter from textbook | |
| 14 | Industrial engineering cases and GAMS | Reading the related chapter from textbook | |
| 15 | Industrial engineering cases and GAMS | Reading the related chapter from textbook | |
| 16 | Industrial engineering cases and GAMS , Final Exam | Reading the related chapter from textbook | |
| 17 | Industrial engineering cases and GAMS , Final Exam | Reading the related chapter from textbook |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| 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 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 100 | ||
| Total Workload / 25 (h) | 4,00 | ||
| ECTS | 4 ECTS | ||