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SDÜ Education Information System Course Content
Programme
Graduate School of Natural and Applied Sciences Mining Engineering
Course Information
Course Unit Code
Course Unit Title
Credit Theoretic
Credit Pratic
Credit Lab/A
Credit Total
Credit Ects
Semester
01MAD6135
Statistical modelling in Mineral Processing
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Professor Emin Cafer ÇŻLEK
Course Instructors
 
Course Assistants
 
Course Aims
This course aims to provide the students with detailed knowledge related to statistical modelling methods can be used in the mineral processing
Course Goals
Identifiable variables affecting the mineral processing operations and usability of them in the modelling
Characterising of the processes
Steps followed in the planning of an experimental programme
Building of a model for a process
Learning Outcomes of The Course Unit
Identifiable variables affecting the mineral processing operations and usability of them in the modelling
Characterising of the processes
Steps followed in the planning of an experimental programme
Building of a model for a process
Course Contents
Definition of statistical terms, the learning process (data, hypothesis), comparing treatments, measuring the effects of the factors, choice of experimental design, regression analysis, the model building for various responses in the mineral processing operations (grinding and flotation)
Prerequisities and Co-requisities Courses
 
Recommended Optional Programme Components
 
Mode Of Delivery
 
Level of Course Unit
 
Assessment Methods and Criteria
ECTS / Table Of Workload (Number of ECTS credits allocated)
Studies During Halfterm
Number
Co-Efficient
Activity
Number
Duration
Total
Visa
1
60
Course Duration (Excluding Exam Week)
14
3
42
Quiz
1
20
Time Of Studying Out Of Class
14
3
42
Homework
3
20
Homeworks
3
15
45
Attendance
0
0
Presentation
0
0
0
Application
0
0
Project
0
0
0
Lab
0
0
Lab Study
0
0
0
Project
0
0
Field Study
0
0
0
Workshop
0
0
Visas
1
20
20
Seminary
0
0
Finals
1
35
35
Field study
0
0
Workload Hour (30)
30
TOTAL
100
Total Work Charge / Hour
184
The ratio of the term to success
40
Course's ECTS Credit
6
The ratio of final to success
60
 
TOTAL
100
 
Recommended or Required Reading
Textbook
 
Additional Resources
Box, G:E:P, Hunter, W:G:; Hunter, J.S., Statistics for experimenters, John Wiley &Sons,
Montgomery, D.C., 1991, Design and analysis of experiments, John Wiley, Singapore
Myers, R.H., Montgomery, D.C.,,1995, Response surface methodology: Process and product optimization using designed experiments, John Wiley, New York
Crozier, R.D., 1992, Flotation, Pergamon Press, Oxford
Material Sharing
Documents
 
Assignments
 
Exams
 
Additional Material
 
Planned Learning Activities and Teaching Methods
Lectures, Practical Courses, Presentation, Seminar, Project, Laboratory Applications (if necessary)
Work Placements
As with any other educational component, credits for work placements are only awarded when the learning outcomes have been achieved and assessed. If a work placement is part of organised mobility (such as Farabi and Erasmus), the Learning Agreement for the placement should indicate the number of credits to be awarded if the expected learning outcomes are achieved.
Program Learning Outcomes
No
Course's Contribution to Program
Contribution
Course Content