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Course Information
Course Unit Title : Computer Applications in Mineral Processing and Modeling with Artificial Neural Networks
Course Unit Code : 01MAD9609
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 : Develop knowledge and skills for computer aided design of mineral processes and ore benefication processes.
Develop competence to use modelling and simulation as a tool for the assessment and optimisation of plant performance
Perform engineering and mass balance calculations with the aid of computers
Have knowledge on the modelling and simulation software used in mineral processing
Mode of Delivery : Face-To-Face
Prerequisities and Co-requisities Courses : Unavailable
Recommended Optional Programme Components : Unavailable
Course Contents : Importance and utilization of computers in mineral processing. Presentation of mineral
processing flowsheets using flowsheet icons. Analysis and presentation of data using spreadsheets. Statistical data analysis. Computer aided mass balance calculations and assessment of plant performance. Modelling and simulation of mineral processing circuits. Mineral processing softwares and applications.
Languages of Instruction : Turkish
Course Goals : The ability to develop new strategic approaches and solving problems by taking responsibility when unforeseen circumstances occur in applications in his/her field.
The ability to develop strategies, policies and plans in his/her field and to be able to evaluate the results in the frame of quality assurance processes.
Course Aims : The objective of the module is to develop knowledge and competence for computer aided design, evaluation of performance and solving of problems of mineral processing operations. In addition development of simulation the data of experimental or obtained plants.
WorkPlacement   NO
Recommended or Required Reading
Textbook : NO
Additional Resources : King R. P. 2006. Modeling and Simulation of Mineral Processing Systems. Butterworth-Heinemann, ISBN: 9780750648844. Mular A.L., Halbe D., Baratt D. 2002. Mineral Processing Plant Design, Practice And Control, Vols 1 and 2, SME. Umucu Y., 2009. Cevher Hazırlamada Yapay sinir Ağlarının Kullanılması. Seminer-I. Proceedings of International mineral processing, coal, industrial raw materials etc. congresses and symposiums Proceedings of national mineral processing, coal, industrial raw materials etc. congresses and symposiums
Material Sharing
Documents : NO
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) :
3 14 42  
Time Of Studying Out Of Class :
3 14 42  
Homeworks :
3 12 36  
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) :
Total Work Charge / Hour :
Course's ECTS Credit :
Assessment Methods and Criteria
Studies During Halfterm :
Number Co-Effient
Visa :
1 30
Quiz :
1 40
Homework :
2 15
Attendance :
0 0
Application :
1 15
Lab :
0 0
Project :
0 0
Workshop :
0 0
Seminary :
0 0
Field study :
0 0
The ratio of the term to success :
The ratio of final to success :
Weekly Detailed Course Content
Week Topics  
1 Metallurgical balance, control and simulation.
2 Automatic control of mineral processing
3 Automatic control of ore beneficaton.
4 Accuracy of the mass equations.
Maximization of the precision of the two-product-yield accounts.
5 The statistical data analysis.
Multiple evaluation of data.
6 Modeling and simulation of crushing circuit
7 Modeling and simulation of the classification equipment
8 Modeling and simulation of grinding circuit
9 Modeling and simulation of grinding circuit
10 Simulation of ore beneficaiton and coal preparation circuit.
11 Modeling of grinding systems by artificial neural networks based on matlab programming
12 Modeling of ore benefication system by artificial neural networks based on matlab programming
13 Modeling of coal preparation system by artificial neural networks based on matlab programming
14 General assessment.
End-of-term exam