TÜRKÇE
ENGLISH
Information
| Unit | INSTITUTE OF NATURAL AND APPLIED SCIENCES |
| MINING ENGINEERING (MASTER) (WITH THESIS) | |
| Code | MD044 |
| Name | Mineral Processing Data Analysis and Modeling |
| Term | 2018-2019 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Belirsiz |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. HÜSEYİN VAPUR |
| Course Instructor |
The current term course schedule has not been prepared yet.
|
Course Goal / Objective
mineral processing flotation, leaching, crushing, grinding and classification processes both physical and chemical methods are used. Especially the effects of chemicals used in the process described flotation. The effects of the surface characteristics of the particles should be indicated
Course Content
Flotation process, the contact angle, zeta potential, collector, free-wheeling, relaxing, refreshing, etc. the effects of chemicals, adhesion and cohesion forces, the crushing-grinding and gravity reagents used in enrichment, leaching process, redox potential, and Eh-pH interaction
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | generai statistic |
| LO02 | standart deviation and variance |
| LO03 | usage of Spss and Minitab |
| LO04 | Linear regression analysis |
| LO05 | F and T test |
| LO06 | variance analysis |
| LO07 | Excel and data analysis |
| LO08 | Mineral Processing and kinetic modelling |
| LO09 | Midterm Exam |
| LO10 | correlation coefficient and matrix drawing |
| LO11 | 2n factorial design |
| LO12 | yates method |
| LO13 | fuzzy logic and papers |
| LO14 | Revision of subject, applications, and make-up examination |
| LO15 | final exam |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | generai statistic | Lecturer notes | |
| 2 | standart deviation and variance | Lecturer notes | |
| 3 | usage of Spss and Minitab | Lecturer notes | |
| 4 | Linear regression analysis | Lecturer notes | |
| 5 | F and T test | Lecturer notes | |
| 6 | variance analysis | Lecturer notes | |
| 7 | Excel and data analysis | Lecturer notes | |
| 8 | Mid-Term Exam | Lecturer notes | |
| 9 | Mineral Processing and kinetic modelling | Lecturer notes | |
| 10 | correlation coefficient and matrix drawing | Lecturer notes | |
| 11 | 2n factorial design | Lecturer notes | |
| 12 | yates method | Lecturer notes | |
| 13 | fuzzy logic and papers | Lecturer notes | |
| 14 | Revision of subject, applications, and make-up examination | Lecturer notes | |
| 15 | Response surface methods | Lecturer notes | |
| 16 | Term Exams | Lecturer notes | |
| 17 | Term Exams | Lecturer notes |