GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
EXTRACTIVE METALLURGY/MEM-230
Course Title: EXTRACTIVE METALLURGY
Credits 2 ECTS 2
Course Semester 4 Type of The Course Compulsory
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  TURKISH
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
1.Informing about the presence of metals in the ground,
2.Knowledge about ore concentration processes (crushing, grinding and separation processes),
3.Pyrometallurgical processes (drying, roasting, calcining, melting, purification etc.)
4.Informing about the leaching application,
5.Electrometallurgical metal purification and metal recovery,
6.Informing about the production processes of important metals such as Aluminum, Copper, Zinc, Lead and Magnesium and the applied processes.

 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  Technical categories of metals, Raw material sources of metals
2. Week  Ore concentration applications Crushing, grinding and separating.
3. Week  Agglomeration applications Sintering, pelletizing and briquetting
4. Week  Pyrometallurgical applications Drying, calcination, roasting.
5. Week  Pyrometallurgical applications Smelting, products of smelting.
6. Week  Hydrometallurgical applications. Leaching of metals, oxides and sulphides
7. Week  Hydrometallurgical applications. Leaching of metals, oxides and sulphides Midterm
8. Week  Underground leaching (in-situ leaching), Heap leaching, Percolation leaching – diffusion leaching, High-pressure leaching (autoclave leaching)
9. Week  Separation of liquid and solid phases, Processing of aqueous solutions.
10. Week  Electrometallurgical applications Electrolysis, Refining electrolysis, Electrolysis from aqueous sol
11. Week  Production process of cupper
12. Week   Production process of aluminum,
13. Week  Production process of zinc
14. Week  Presentation of semester homeworks
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
1
10
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
4
10
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
2
28
 Weekly Tutorial Hours
14
0
0
 Reading Tasks
14
0
0
 Searching in Internet and Library
14
0
0
 Material Design and Implementation
14
0
0
 Report Preparing
14
0
0
 Preparing a Presentation
14
0
0
 Presentation
14
1
14
 Midterm Exam and Preperation for Midterm Exam
7
1
7
 Final Exam and Preperation for Final Exam
7
1
7
 Other (should be emphasized)
14
0
0
 TOTAL WORKLOAD: 
56
 TOTAL WORKLOAD / 25: 
2.24
 Course Credit (ECTS): 
2
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Professional and ethical responsibility gains knowledge.X
2Ability to design experiments, conduct experiments, analyze and interpret the results of experiments.X
3The project-based work culture adopts workplace practices, awareness of employees health, environment and work safety; To train graduates with an awareness of the legal consequences of their engineering practices.X
4Ability to select and use the techniques and modern tools necessary for engineering applications and computer software, information and communication technologies.X
5To be aware of the problems of the age and awareness of entrepreneurship and innovation.
6Knowledge of the necessity of using information resources and lifelong learning, including developments in science and technology.X
7The breadth of education required to understand the effects of engineering solutions on universal and social dimensions.X
8Ability to communicate effectively with oral and written and technical drawings in Turkish and English.X
9Professional and ethical responsibility.X
10Defining and formulating engineering problems, and selecting and applying appropriate analytical methods and modeling techniques for this purpose.X
11Ability to work in their own discipline and in multi-disciplinary teams.X
12The ability to design a system, part, or process that meets the desired requirements by considering realistic constraints and conditions.
13Ability to design experiments, conduct experiments, analyze and interpret the results of experiments.X
14Knowledge of mathematics, science and own branches and having sufficient knowledge in engineering subjects and knowledge of application skills.X
 -- NAME OF LECTURER(S)
   (Prof. Halil ARIK)
 -- WEB SITE(S) OF LECTURER(S)
   (https://websitem.gazi.edu.tr/site/harik)
 -- EMAIL(S) OF LECTURER(S)
   (harik@gazi.edu.tr)