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Course Information
Course Unit Title : Statistical modelling in Mineral Processing
Course Unit Code : 01MAD6135
Type of Course Unit : Optional
Level of Course Unit : Second Cycle
Year of Study : Preb
Semester : 255.Semester
Number of ECTS Credits Allocated : 6,00
Name of Lecturer(s) :
Course Assistants :
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
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
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)
Languages of Instruction : Turkish
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
Course Aims : This course aims to provide the students with detailed knowledge related to statistical modelling methods can be used in the mineral processing
WorkPlacement   Not Available
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)
ECTS / Table Of Workload (Number of ECTS credits allocated)
Student workload surveys utilized to determine ECTS credits.
Activity :
Number Duration Total  
Course Duration (Excluding Exam Week) :
14 3 42  
Time Of Studying Out Of Class :
14 3 42  
Homeworks :
3 15 45  
Presentation :
0 0 0  
Project :
0 0 0  
Lab Study :
0 0 0  
Field Study :
0 0 0  
Visas :
1 20 20  
Finals :
1 35 35  
Workload Hour (30) :
30  
Total Work Charge / Hour :
184  
Course's ECTS Credit :
6      
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 60
Quiz :
1 20
Homework :
3 20
Attendance :
0 0
Application :
0 0
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
   
TOTAL :
100
The ratio of the term to success :
40
The ratio of final to success :
60
TOTAL :
100
Weekly Detailed Course Content
Week Topics  
1 Basic principles of the statistical modelling
 
2 How to used statistical methods
 
3 Comparing treatments (two and more than two
 
4 Measuring the effects
 
5 Factorial designs
 
6 Factorial designs
 
7 Single factor models
 
8 Multi-factor models
 
9 Polynomial models
 
10 Nonlinear models
 
11 Grinding example
 
12 Flotation example (reagents)
 
13 Flotation example (physical factors)
 
14 General assessment