GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
MATHEMATICAL THEORY OF ELASTICITY/5501310
Course Title: MATHEMATICAL THEORY OF ELASTICITY
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Prof. Mahmut OZBAY
 -- WEB SITE(S) OF LECTURER(S)
  http://websitem.gazi.edu.tr/ozbaym
 -- EMAIL(S) OF LECTURER(S)
  ozbaym@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
To gain the ability of understanding, modelling and solving solid body problems in mechanical engineering.
To gain the ability of applying the stress, strain and equation of motion relations.
To gain the ability of solving the plane stress and plane strain problems.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 -- PREREQUISITES AND CO-REQUISITES
  There is no prerequisite or co-requisite for this course.
 -- RECOMMENDED OPTIONAL PROGRAMME COMPONENTS
  There is no recommended optional programme component for this course.
 --COURSE CONTENT
1. Week  Cartesian tensors
2. Week  Stress & strain concepts
3. Week  Equations of motion
4. Week  Compatibility equations
5. Week  Consitutive equations for linear elastic materials
6. Week  Generalized Hooke’s law
7. Week  Midterm 1
8. Week  Plane stress-strain problems
9. Week  Application to 2-D elasto-static problems
10. Week  Elongation, torsion, and flexure of rods
11. Week  Stress concentration, Variational methods
12. Week  Midterm 2
13. Week  Introduction to Thermo-elasticity
14. Week  Solution of elasticity problems by finite-difference method
15. Week  Final exam.
16. Week  Final exam.
 -- RECOMMENDED OR REQUIRED READING
  1. R.B. Ignaczac Hetnarski and Jozef,(2004), Mathematical Theory of Elasticity, USA,Taylor & Francis Books. 2. Chou Peı Chı, Pagano Nicholas J. (1984), Elastisite, Trabzon, KATÜ Basımevi. 3. Timoshenko S., Goodier J.N., (1969), Elastisite Teorisi, İstanbul, Arı Kitapevi Matbaası.
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
2
40
 Assignment
0
0
 Exercises
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
60
 Contribution of Final Examination to Overall Grade  
40
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
14
3
42
 Practising Hours of Course Per Week
0
 Reading
14
3
42
 Searching in Internet and Library
14
3
42
 Designing and Applying Materials
0
 Preparing Reports
5
3
15
 Preparing Presentation
5
3
15
 Presentation
1
2
2
 Mid-Term and Studying for Mid-Term
2
10
20
 Final and Studying for Final
1
10
10
 Other
0
 TOTAL WORKLOAD: 
188
 TOTAL WORKLOAD / 25: 
7.52
 ECTS: 
7.5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Ability 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 studyX
2Ability to complete and implement “limited or incomplete data” by using the scientific methods.X
3Ability to consolidate engineering problems, develop proper method(s) to solve and apply the innovative solutions to themX
4Ability to develop new and original ideas and method(s), to develop new innovative solutions at design of system, component or processX
5Gain comprehensive information on modern techniques, methods and their borders which are being applied to engineeringX
6Ability to design and apply analytical, modelling and experimental based research, analyze and interpret the faced complex issues during the design and apply processX
7Gain high level ability to define the required information and dataX
8Ability to work in multi-disciplinary teams and to take responsibility to define approaches for complex situationsX
9Systematic and clear verbal or written transfer of the process and results of studies at national and international environmentsX
10Aware of social, scientific and ethical values guarding adequacy at all professional activities and at the stage of data collection, interpretation, and announcementX
11Aware of new and developing application of profession and ability to analyze and study on those applicationsX
12Ability to interpret engineering application’s social and environmental dimensions and it’s compliance with the social environmentX