Course Name Code Semester T+U Hours Credit ECTS
Metal Matrix Composite Materials MTM 506 0 3 + 0 3 6
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level yuksek_lisans
Course Type Optional
Course Coordinator Dr.Öğr.Üyesi SERDAR ASLAN
Course Lecturers Dr.Öğr.Üyesi SERDAR ASLAN,
Course Assistants
Course Category
Course Objective To introduce high technology metal matrix composite materials
Course Content Composite, Hybrid composite materials, Composite fabrication, reinforcement materials, Nano technology
# Course Learning Outcomes Teaching Methods Assessment Methods
1 Classification of composite Lecture, Testing,
2 To cognize using reinforcement materials in metal matrix composites Lecture, Testing, Homework,
3 To be knowledgeable about the interfacial region Lecture, Testing,
4 To know well fabrication processes Lecture, Testing,
5 To design learning metal matrix composites Lecture, Testing,
Week Course Topics Preliminary Preparation
1 Metal matrix composites general introduction
2 The general and specific applications of Metal matrix composites
3 The general and specific applications of Metal matrix composites
4 The general and specific applications of Metal matrix composites
5 Fabrication Processes of Metal matrix composites
6 Fabrication Processes of Metal matrix composites
7 Fabrication Processes of Metal matrix composites
8 Micro mechanic analysis of Metal matrix composites
9 Micro mechanic analysis of Metal matrix composites
10 Micro mechanic analysis of Metal matrix composites
11 Fibre-matrix interface
12 Hybrid composite materials
13 Nano technology
14 Machinable of metal matrix composite materials
Resources
Course Notes
Course Resources
Order Program Outcomes Level of Contribution
1 2 3 4 5
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
1 ability to access wide and deep information with scientific researches in the field of Engineering, evaluate, interpret and implement the knowledge gained in his/her field of study X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
2 ability to complete and implement “limited or incomplete data” by using the scientific methods. X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
3 ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to them X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
4 ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or process X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
5 gain comprehensive information on modern techniques, methods and their borders which are being applied to engineering X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
6 ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply process X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
7 gain high level ability to define the required information and data X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations X
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
8 ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situations
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
9 systematic and clear verbal or written transfer of the process and results of studies at national and international environments X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement X
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement
10 aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcement
11 aware of new and developing application of profession and ability to analyze and study on those applications X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
11 aware of new and developing application of profession and ability to analyze and study on those applications X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment X
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment
12 ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environment
Evaluation System
Semester Studies Contribution Rate
1. Ödev 50
1. Performans Görevi (Seminer) 50
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 4 64
Mid-terms 1 15 15
Quiz 1 15 15
Assignment 1 20 20
Performance Task (Laboratory) 1 20 20
Total Workload 182
Total Workload / 25 (Hours) 7.28
dersAKTSKredisi 6