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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
01MAD9609
Computer Applications in Mineral Processing and Modeling with Artificial Neural Networks
3.00
0.00
0.00
3.00
6.00
1
Course Information
Language of Instruction
Turkish
Type of Course Unit
Elective
Course Coordinator
Assistant Professor Dr. YAKUP UMUCU
Course Instructors
3-Yakup UMUCU
Course Assistants
 
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.
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.
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
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.
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
30
Course Duration (Excluding Exam Week)
3
14
42
Quiz
1
40
Time Of Studying Out Of Class
3
14
42
Homework
2
15
Homeworks
3
12
36
Attendance
0
0
Presentation
0
0
0
Application
1
15
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
30
30
Field study
0
0
Workload Hour (30)
30
TOTAL
100
Total Work Charge / Hour
170
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
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)
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