TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| MINING ENGINEERING PR. | |
| Code | MDS426 |
| Name | Operation Research Techniques |
| Term | 2018-2019 Academic Year |
| Semester | 8. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. Ali Can ÖZDEMİR |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
ANALYZING A PROBLEM AND GETING THE MODEL SETUP CAPACITY TO REALIZE THE REQUIRED REQUIREMENTS UNDER REALITY RISKS
Course Content
LISTING ON THE TECHNOLOGY RESEARCH TECHNIQUES PROJECT ANALYSIS BETWEEN A SYSTEM DETERMINING RISKS SETTING THE MODEL GIVING OPTIMUM SOLUTION LISTENING TO THE NETWORK MODELS
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | LISTING ON THE TECHNOLOGY RESEARCH TECHNIQUES |
| LO02 | PROJECT ANALYSIS BETWEEN A SYSTEM |
| LO03 | DETERMINING RISKS |
| LO04 | knows to make simulation |
| LO05 | knows to make stability analysis |
| LO06 | knows to make model |
| LO07 | knows to analysis with computer software |
| LO08 | knows to solve shortest path problems |
| LO09 | knows to the critical path methods |
| LO10 | knows to make an analysis after the optimum |
| LO11 | make create a minimum covering tree model |
| LO12 | Creating a pert network model |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Students gain adequate knowledge about the engineering fields in the branches of mathematics, physical sciences or their own branches | 1 |
| PLO02 | - | Students use the theoretical and practical knowledge in mathematics, physical sciences and their fields for engineering solutions | 1 |
| PLO03 | - | Students choose and use the appropriate analytical mehtods and modelling techniques to identify, formulate, and solve the engineering problems | 2 |
| PLO04 | - | Students design and carry out experiments, collect data, analyze and interpret the results. | 3 |
| PLO05 | - | Students gain the capacity to analyze a system, a component, and desing the process under realistic constraints to meet the desired requirements; and the ability to apply the methods of modern design accordingly | 5 |
| PLO06 | - | Students choose and use the modern technical tools necessary for engineering practice. | 1 |
| PLO07 | - | Students gain the ability to work effectively both as an individual and in multi-disciplinary teams. | 1 |
| PLO08 | - | Students follow the current developments in their fields with a recognition of the need for lifelong learning and constantly improve themselves | 1 |
| PLO09 | - | Students use the resources of information and databases for the purpose of doing research and accesing information. | 2 |
| PLO10 | - | Students follow the scientific and technological developments in recognition of the need for lifelong learning, and continuously keep their knowledge up to date. | 2 |
| PLO11 | - | Students use the information and communication technologies together with the computer software at the level required by the European Computer Driving Licence. | 1 |
| PLO12 | - | Students use a foreign language according to the general level of European Language Portfolio B1 to communicate effectively in oral and written form. | 1 |
| PLO13 | - | Students gain the ability to communicate using technical drawing. | 1 |
| PLO14 | - | Students become informed of professional and ethical responsibility. | 1 |
| PLO15 | - | Students develop an awareness as regards project management, workplace practices, employee health, environmental and occupational safety; and the legal implications of engineering applications. | 1 |
| PLO16 | - | Students develop an awareness of the universal and social effects of engineering solutions and applications, the entrepreneurship and innovation subjects and gain knowledge of contemporary issues | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | INTRODUCTION: METHODS, SIMULATION, MODEL INSTALLATION TECHNIQUES | TEXTBOOK | |
| 2 | LINEAR PROGRAMMING: MODEL INSTALLATION AND GRAPHIC SOLUTION TECHNIQUE | TEXTBOOK | |
| 3 | LINEAR PROGRAMMING: SENSITIVITY ANALYSIS | TEXTBOOK | |
| 4 | LINEAR PROGRAMMING: SOLUTION BY MODEL COMPUTER SOFTWARE | TEXTBOOK | |
| 5 | SIMPLEX METHOD: DEFINITION OF DUAL PROBLEM | TEXTBOOK | |
| 6 | SIMPLEX METHOD: ECONOMIC INTERPRETATION OF DUALITY | TEXTBOOK | |
| 7 | SIMPLEX METHOD: AFTER OPTIMIZATION ANALYSIS | TEXTBOOK | |
| 8 | Mid-Term Exam | Lectures notes | |
| 9 | NETWORK MODELS: MINIMUM COVERED TREE | TEXTBOOK | |
| 10 | NETWORK MODELS: THE BEST ROAD PROBLEM | TEXTBOOK | |
| 11 | NETWORK MODELS: MAXIMUM FLOW MODEL | TEXTBOOK | |
| 12 | NETWORK MODELS: CRITICAL ROAD METHOD | TEXTBOOK | |
| 13 | NETWORK MODELS: PERT | TEXTBOOK | |
| 14 | SIMULATION MODEL SETUP | TEXTBOOK | |
| 15 | SIMULATION MODEL SETUP | TEXTBOOK | |
| 16 | Term Exams | Lectures notes | |
| 17 | Term Exams | Lectures notes |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 8 | 8 |
| Final Exam | 1 | 24 | 24 |
| Total Workload (Hour) | 88 | ||
| Total Workload / 25 (h) | 3,52 | ||
| ECTS | 4 ECTS | ||