MD0084 Mineral Processing Data Analysis and Modeling

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

Information

Code MD0084
Name Mineral Processing Data Analysis and Modeling
Term 2024-2025 Academic Year
Semester . Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator


Course Goal / Objective

Data analysis methods in ore preparation, Statistical methods, Package programs used, factorial design, data grouping, linear modeling, nonlinear models, data analysis applications, , data analysis applications, Design Of experiment (DOE)

Course Content

Data analysis methods in ore preparation, Statistical methods, Package programs used, factorial design, data grouping, linear modeling, nonlinear models, data analysis applications, , data analysis applications, Design Of experiment (DOE)

Course Precondition

no

Resources

notes

Notes

visual sources


Course Learning Outcomes

Order Course Learning Outcomes
LO01 It uses modern engineering, computer modeling and simulation tools in the development of mining engineering projects and solving advanced engineering problems.
LO02 Learns to independently conduct scientific and technical research on all subjects, including her field of specialization.
LO03 Gains systematic thinking and problem solving abilities with the in-depth knowledge gained in the field of ore preparation.
LO04 Have the ability to define, formulate and solve problems related to mining engineering at an advanced level.
LO05 Provides up-to-date methods and solutions for ore preparation experiment design and data analysis


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. 5
PLO02 Bilgi - Kuramsal, Olgusal Have advanced theoretical and applied knowledge in the fields of mining engineering. 4
PLO03 Bilgi - Kuramsal, Olgusal Learns to independently conduct scientific and technical research on all subjects, including the field of specialization.
PLO04 Beceriler - Bilişsel, Uygulamalı Gains the ability to transfer scientific and social values to others at every stage of works.
PLO05 Beceriler - Bilişsel, Uygulamalı Have the ability to prepare projects related to the working subjects of mining engineering. 5
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.
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.
PLO10 Yetkinlikler - Öğrenme Yetkinliği Gains systematic thinking and problem solving abilities with the in-depth knowledge gained in the field of Mining Engineering. 3
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. 4
PLO14 Yetkinlikler - Öğrenme Yetkinliği Comprehends the universal and social effects of mining engineering applications. 3
PLO15 Yetkinlikler - Öğrenme Yetkinliği Have the ability to evaluate projects related to the study subjects of mining engineering.
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. 4


Week Plan

Week Topic Preparation Methods
1 Graph drawing with excel on computer a- notes Öğretim Yöntemleri:
Anlatım
2 Determination of basic test parameters b- notes Öğretim Yöntemleri:
Anlatım
3 Classical experimental studies in the laboratory c- notes Öğretim Yöntemleri:
Anlatım
4 ortalama, mod, medyan d- notes Öğretim Yöntemleri:
Anlatım
5 Variance, standard deviation etc. topics e- notes Öğretim Yöntemleri:
Anlatım
6 a- Using SPSS and minitab statistical programs f- notes Öğretim Yöntemleri:
Anlatım
7 b- Using SPSS and minitab statistical programs g- notes Öğretim Yöntemleri:
Anlatım
8 c- Using SPSS and minitab statistical programs h- notes Öğretim Yöntemleri:
Anlatım
9 d- Using SPSS and minitab statistical programs ı- notes Öğretim Yöntemleri:
Anlatım
10 e- Using the Design-Expert Program j- notes Öğretim Yöntemleri:
Anlatım
11 f- Using the Design-Expert Program k- notes Öğretim Yöntemleri:
Anlatım
12 g- Using the Design-Expert Program l- notes Öğretim Yöntemleri:
Anlatım
13 h- Using the Design-Expert Program m- notes Öğretim Yöntemleri:
Anlatım
14 ı- Using the Design-Expert Program n- Notes Öğretim Yöntemleri:
Anlatım
15 Effective report preparation and presentation o- notes Öğretim Yöntemleri:
Anlatım
16 make up exam p- notes Ölçme Yöntemleri:
Ödev
17 final exam q- notes Ölçme Yöntemleri:
Ödev


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 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 14.05.2024 12:56