GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
NUMERICAL METHODS IN HEAT TRANSFER/5431310
Course Title: NUMERICAL METHODS IN HEAT TRANSFER
Credits 3 ECTS 7.5
Semester 1 Compulsory/Elective Elective
COURSE INFO
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- NAME OF LECTURER(S)
  Inst. Dr. Tolga PIRASACI
 -- WEB SITE(S) OF LECTURER(S)
  http://w3.gazi.edu.tr/~pirasaci/
 -- EMAIL(S) OF LECTURER(S)
  pirasaci@gazi.edu.tr
 -- LEARNING OUTCOMES OF THE COURSE UNIT
Understanding of the basic characteristics of numerical methods in convective heat transfer and applications of methods.
Learning and applications of methods used for the solution of convective heat transfer problems.
Interpret the results of solved problems. Solution of engineering problems by commercial software.
Solution of engineering problems by commercial software.
 -- 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
  -
 --COURSE CONTENT
1. Week  Introduction to Computational Fluid Dynamics.
2. Week  Fundamental Equations of Momentum and Energy Equations.
3. Week  Fundamental Equations of Momentum and Energy Equations.
4. Week  Overview of Numerical Methods.
5. Week  Finite Difference Method.
6. Week  Clasification of Partial Differential Equations.
7. Week  One Dimensional Boundary Value Problems.
8. Week  Parabolic Partial Differential Equations.
9. Week  Elliptic Partial Differential Equations.
10. Week  Hyperbolic Partial Differential Equations.
11. Week  Scalar Representation of the Navier – Stokes Equations.
12. Week  Midterm 1
13. Week  Incompressible Navier Stokes Equations, Simple and Simplec Algorithms.
14. Week  Introduction to Commercial CFD Softwares and Applications.
15. Week  Introduction to Commercial CFD Softwares and Applications.
16. Week  Final
 -- RECOMMENDED OR REQUIRED READING
  -
 -- PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
  Lecture, Question & Answer
 -- WORK PLACEMENT(S)
  -
 -- ASSESSMENT METHODS AND CRITERIA
 
Quantity
Percentage
 Mid-terms
1
20
 Assignment
0
0
 Exercises
0
0
 Projects
1
20
 Practice
0
0
 Quiz
0
0
 Contribution of In-term Studies to Overall Grade  
40
 Contribution of Final Examination to Overall Grade  
60
 -- WORKLOAD
 Efficiency  Total Week Count  Weekly Duration (in hour)  Total Workload in Semester
 Theoretical Study Hours of Course Per Week
15
3
45
 Practising Hours of Course Per Week
0
 Reading
15
4
60
 Searching in Internet and Library
0
 Designing and Applying Materials
0
 Preparing Reports
0
 Preparing Presentation
0
 Presentation
0
 Mid-Term and Studying for Mid-Term
2
8
16
 Final and Studying for Final
1
8
8
 Other
15
4
60
 TOTAL WORKLOAD: 
189
 TOTAL WORKLOAD / 25: 
7.56
 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