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Course Information
Course Unit Title : Design and Analysis of Experiments in Mineral Processing
Course Unit Code : 01MAD5202
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 : Principles of the experimental design and basic definitions
Determination of number and levels of the factors affecting the mineral processing operations
Design of mineral processing experiments
Analysis of the designed experiments
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Definition of terms, the role of experimental design, factorial designs, and analysis of the data obtained from the designed experiments, the latin square design, analysis of variance, building of models, the graphical presentation of the results obtained from designed experiments.
Languages of Instruction : Turkish
Course Goals : Principles of the experimental design and basic definitions
Determination of number and levels of the factors affecting the mineral processing operations
Design of mineral processing experiments
Analysis of the designed experiments
Course Aims : This course aims to provide the students with general knowledge related to minimising the number of the experiment which should be performed to selection of a process by using statistical methods, analysis of data obtained from the designed experiments.
WorkPlacement   Not Available
Recommended or Required Reading
Textbook :
Additional Resources : Montgometry, D.C., 1991, Design and analysis of experiments, Third edt., Wiley, New York
Box, G.E.P., Hunter, W.G. ve Hunter, J.S., 1978, Statistics for experimenters. An introduction to design, data analysis, and model building, Wiley, New York.
Çilek, E. C., Mineral Flotation, SDU publications No.: 59, Isparta
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 30 30  
Workload Hour (30) :
30  
Total Work Charge / Hour :
179  
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 statistical definitions and principles of the experimental design
 
2 Factorial design and determination of the number and levels of factors in mineral processing
 
3 The two levels ( 2k ve 2k-p) factorial design
 
4 The two levels ( 2k ve 2k-p) factorial design
 
5 Yates? algoritm
 
6 Analysis of variance for the two levels designs
 
7 The three levels ( 3k ve 3k-p) factorial design
 
8 The three levels ( Box-Behnken) factorial design
 
9 Analysis of variance for the three levels design
 
10 Model building from results of the designed experiments
 
11 Latin squares and related designs
 
12 Taguchi robust designs
 
13 Experimental designs for fitting response surfaces
 
14 General assessment