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Information
| Code | MD0055 |
| Name | Experimental Design and Data Analysis |
| Term | 2023-2024 Academic Year |
| Term | Fall |
| Duration (T+A) | 4-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 4 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | |
| Course Instructor |
1 |
Course Goal / Objective
To inform students related to design of experiments techniques used in mineral processing methods and the methods that are used to evaluate the experimental findings in the test.
Course Content
Design of Experimental methods Factorial design methods, Taguchi approach Response surface method (Central composite method and Box-Behnken) The statistic analysis of obtained experimental results Variance analysis (ANOVA) Software programs that are used for the design of experiments (Design Expert and Minitab) The use of Experimental design methods in mineral processing-beneficiation The use of Experimental design methods in extractive metallurgy The determination of reaction kinetics in extractive metallurgy
Course Precondition
None.
Resources
Design of Experiments, Minitab 2003-2005. Myers, R.H., Montgomery, D.C., Anderson-Cook, C.M. Response Surface Methodology, Process and Product Optimization Using Designed Experiments, Wiley. Villegas, P. J. Chemical Kinetics, An introduction to rates and mechanisms of chemical reactions. Levenspiel, O. Chemical Reaction Engineering, John Wiley-Sins
Notes
Minitab and Design Expert Software
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | knows the use of factorial design experiments |
| LO02 | knows the use of Taguchi approach |
| LO03 | have information related to response surface methods (central composite design, Box-Behnken) |
| LO04 | knows to conduct the analysis of variance (ANOVA) |
| LO05 | knows to use The software programs that are used to set the design of experiments and data analysis (Design Expert, Minitab) |
| LO06 | uses DOE in mineral processing and beneficiation methods. |
| LO07 | uses DOE in extractive metallurgy |
| LO08 | knows the reaciton kinetics |
| LO09 | knows methods that are used to determine the reaction kinetics in extractive metallurgy. |
| LO10 | knows the regression analysis. |
| LO11 | knows to explain the experimental findings. |
| LO12 | determines the effectivity of parameters. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Uses the mathematics, science, and engineering knowledge gained in undergraduate education in the advanced solution of mining engineering problems. | 3 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Have advanced theoretical and applied knowledge in the fields of mining engineering. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Learns to independently conduct scientific and technical research on all subjects, including the field of specialization. | 3 |
| PLO04 | Beceriler - Bilişsel, Uygulamalı | Gains the ability to transfer scientific and social values to others at every stage of works. | 4 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Have the ability to prepare projects related to the working subjects of mining engineering. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Have the ability to define, formulate and solve problems related to mining engineering at an advanced level. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Have the awareness of lifelong learning for professional development. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Have the ability to work independently, team work, and interdisciplinary. | 5 |
| PLO09 | Yetkinlikler - Alana Özgü Yetkinlik | Uses modern engineering, computer modeling and simulation tools in the development of mining engineering projects and solving advanced engineering problems. | 4 |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Gains systematic thinking and problem solving abilities with the in-depth knowledge gained in the field of Mining Engineering. | |
| PLO11 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to use the in-depth knowledge gained in the field of Mining Engineering in interdisciplinary studies. | 5 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | Gains the ability to define a problem that requires expertise in the field of Mining Engineering. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Gains the professional and ethical responsibility of mining engineering. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Comprehends the universal and social effects of mining engineering applications. | |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to evaluate projects related to the study subjects of mining engineering. | 3 |
| PLO16 | Yetkinlikler - Öğrenme Yetkinliği | Gains the ability to interpret the results obtained in the solution of a problem that requires expertise in the field of Mining Engineering. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction of design of experiments and data analysis | Literature Review | Öğretim Yöntemleri: Anlatım |
| 2 | Software programs (Design Expert, Minitab) | Literature Review | Öğretim Yöntemleri: Anlatım |
| 3 | The use of Design Expert Software | Literature Review | Öğretim Yöntemleri: Anlatım |
| 4 | The use of Minitab | Lesson Notes | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 5 | Factorial design method | Lesson Notes | Öğretim Yöntemleri: Anlatım |
| 6 | The use of Taguchi approach | Lesson Notes | Öğretim Yöntemleri: Anlatım |
| 7 | Response surface methods (Central Composite Design) | Lesson Notes | Öğretim Yöntemleri: Anlatım |
| 8 | Midterm Exam | Lesson Notes | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Response surface methods (Box-Behnken) | Lesson Notes | Öğretim Yöntemleri: Anlatım |
| 10 | Analysis of Variance | Literature Review | Öğretim Yöntemleri: Anlatım |
| 11 | Regression analysis | Literature Review | Öğretim Yöntemleri: Anlatım |
| 12 | Chemical kinetics | Literature Review | Öğretim Yöntemleri: Anlatım |
| 13 | Shrinking Core Kinetics Model | Literature Review | Öğretim Yöntemleri: Anlatım |
| 14 | Practice of Kinetics models | Lesson Notes | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 15 | Practice of Design of Experiments | Lesson Notes | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | General Evulation | Lesson Notes | Öğretim Yöntemleri: Tartışma |
| 17 | Final Exam | Lesson Notes | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 4 | 56 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 4 | 56 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 28 | 28 |
| Total Workload (Hour) | 152 | ||
| Total Workload / 25 (h) | 6,08 | ||
| ECTS | 6 ECTS | ||